[Purposes] This study aims to explore the impacts and challenges of artificial intelligence generated content (AIGC) on the academic journal publishing field, and analyze the consensus and strategies of the academic journal publishing field to deal with AIGC, so as to promote the reasonable application of AIGC in the academic journal publishing field. [Methods] Starting from the logic of “policy norms-risks and challenges-countermeasures and suggestions”, we investigated and analyzed the policy norms of domestic and foreign academic journal publishers on AIGC, formed the attitude tendency to deal with AIGC around the whole publishing process of academic journal, analyzed the unresolved risks and challenges, and put forward countermeasure suggestions. [Findings] The overall attitude of domestic and foreign academic journal publishers towards AIGC tends to be conservative and prudent. Although a certain consensus has been reached, there are still some problems such as weak consistency of academic norms, difficulty in reviewing academic quality, high risk of data security, and disputes over copyright protection when using AIGC. [Conclusions] The academic journal publishing field should actively embrace the technological changes brought by AIGC, promote the establishment of consensus academic publishing norms, strengthen content review, carry out AIGC detection with tools, strengthen the training on the boundaries of the use of AIGC, and guide the reasonable, transparent, and responsible use of AIGC, so as to realize the intelligent change and sustainable development of academic publishing.

[Purposes] This paper aims to summarize the attitudes of international research institutions toward preprints and the key points of their preprint policies, providing reference and guidance for Chinese research institutions in formulating their preprint policies. [Methods] Research institutions were selected based on their academic influence and international recognition, as measured by the Nature Index and QS world university rankings, along with the criterion of having officially issued preprint-related policies, resulting in a final sample of 19 international research institutions, whose attitudes toward preprints and key policy points were analyzed and summarized. [Findings] The majority of international research institutions acknowledge and encourage preprint-based academic exchanges. They have established specific regulations and guidelines concerning preprint citation, storage, release, review and publication. [Conclusions] In formulating preprint policies, Chinese research institutions should fully recognize the evolving concept of preprints, establish clear policy guidance to enhance researchers' acceptance and use of preprints, actively support the development of peer review mechanisms for preprints, and promote the integration of preprint communication with journal publication.

[Purposes] Research on the influencing factors of the dissemination effect of youth science popularization journals on the WeChat video platform, and propose optimization strategies to promote the short video dissemination platform of youth science popularization journals. [Methods] Based on the HSM model, 766 short videos from youth science popularization journals were selected to quantify the dissemination effect, and variance and regression analysis were used to explore the influencing factors. [Findings] Content source, title length, title sentence structure, topic tags, content theme, explanation method, video duration, and music type all have a significant impact on communication effectiveness, but narrative type has no significant impact on communication effectiveness. [Conclusions] To promote popular science knowledge dissemination among young people on short video platforms, the following three platform optimization strategies are proposed: it is recommended to make good use of title and topic techniques to enhance user attention; Deeply cultivate high-quality original content to ensure the value of knowledge; Featuring lively and lively music to aid in the transfer of knowledge.

[Purposes] This paper aims to explore the characteristics of pre-review within 24 h (24 h review) and the differences between 24 h review and traditional publishing model of scientific journals, and thus provide a reference for optimizing the publishing model and promoting the development of the scientific journals in China. [Methods] We systematically compared the differences between 24 h review and multi-journal submission (MJS) model put forward by Cell Press, and summarized the characteristics, advantages, and shortcomings of 24 h review model, based on the online research. [Findings] The traditional publishing model adhered to the principle of “single submission”. In contrast, the MJS model in Cell Press allows for simultaneous submissions to multiple journals. 24 h review model adopts a “5 min submission + 24 h feedback” mode to achieve synchronous pre-review across multiple journals, with a decision on whether the manuscript would be submitted for peer review within 24 h. The 24 h review model is characterized by rapid feedback and clustering management. It can significantly improve the submission efficiency and authors’ experience, and strengthen the collaboration and influence of the journal cluster. Meanwhile, higher requirements of the publishing process, the management of publishers, and the professionalism of the editors were proposed. [Conclusions] The scientific journals in China can benefit from 24 h review model, which can enhance the overall competitiveness of journal clusters by cultivating the multi-skilled editors for mulitple journal collaboration, integrating publishing resources, and developing a talent echelon.

[Purposes] This article aims to analyse the construction and development model of journal group of the “AME Publishing Company (AME)”, hoping to provide a reference for the clusterization, internationalization development and knowledge service platform construction of English journals in China. [Methods] 63 English medical scientific and technical journals of AME were referred to as research objects. The data on journal publication, publishing cooperation, editorial board construction, database inclusion, digitalization construction, etc., were collected. Additionally, the publication mode, clustered development, experience, and lesson of AME were analyzed and summarized by bibliometrics method. [Findings] By focusing on multidisciplinary collaboration, keeping abreast with the trends in medical fields, consolidating digital platforms, improving publishing service, and building the journals from strength to strength, AME has established a certain level of influence and recognition in the medical academic publishing field and formed a certain brand effect. AME has become a significant force in the academic publishing field. But there was still room for improvement in the evaluation and supervision for the operation of journals. [Conclusions] A relatively complete profile of journals and a mature and professional operation system have been created by the AME Publishing Company. Furthermore, this publisher has built a mature and sustainable English journal incubation platform.

[Purposes] To enhance the quality of Chinese scientific journals and to promote their high-quality development, this paper conducts a quantitative analysis of the characteristics of high-quality Chinese scientific and technological journals and provides corresponding development strategies. [Methods] Based on journal indicators from CSTPCD and WoS databases and information on journal official websites, from the perspectives of discipline distribution, domestic academic influence, international citation, and journal platforms, analyze the development status of academic Chinese scientific journals selected from the “Excellence Action Plan for China’s STM Journals Phase II ”. [Findings] High quality Chinese scientific journals rank among the top in domestic discipline rankings, carry more papers produced by national major projects. They have a certain degree of international visibility, but their cluster advantages are not prominent. [Conclusions] Chinese scientific journals should further enhance their academic influence, expand the carrying capacity of excellent papers, and effectively support the development of national science and technology; Clarify the positioning of the journal; Strengthen the construction of journal publishing and dissemination platforms; At the national level, we will strengthen top-level design, enhance support for Chinese scientific and technological journals, and create an ecological environment suitable for the high-quality development of Chinese scientific and technological journals.

[Purposes] To study the impact mechanism and development strategies of artificial intelligence (AI) on the dissemination of scientific journals, providing theoretical basis and practical guidance for enhancing the dissemination power of scientific journals in the era of AI. [Methods] Theoretical research and system analysis method are used to explore the positive role of artificial intelligence in the dissemination of scientific journals and the problems and challenges it brings, and corresponding countermeasures and suggestions are proposed. [Findings] Artificial intelligence effectively enhances the dissemination efficiency and effectiveness of scientific journals by enabling the content production process, transforming the dissemination mode, and upgrading user interaction methods; however, it also brings a series of problems and challenges to the dissemination of scientific journals, including content quality and intellectual property rights risks, technical dependence and ethical risks, dissemination effect alienation risks, and resource allocation and regulatory norm risks. [Conclusions] Scientific journals should pay high attention to the impact of artificial intelligence on their dissemination, establish sound policy mechanisms, actively respond to industry transformation, make full use of various media, strengthen platform tool construction, and cultivate new skills of editorial talents, so as to promote the greater role of artificial intelligence in enhancing the dissemination power of scientific journals.

[Purposes] To study the effects of Chinese scientific journals international communication. [Methods] The “international external citation proportion” was used to analyse the “most international influence academic journals of China(Natural Science)” and the “excellent international influence academic journals of China(Natural Science)” evaluted by the Annual Report for International Citation of Chinese Academic Journals(Natural Science)(2023).[Findings] The international external citation proportion of “most international influence academic journals of China(Natural Science)” and “excellent international influence academic journals of China(Natural Science)” were 3.95% and 2.66%,respectively. The international external citation proportion of two kinds of journal was very low, and there were no significant difference between two kinds of journal(P=0.189). [Conclusions] The effects of English content in Chinese scientific papers is very limited in international communication, and Chinese scientific journals need to choose the English content of the paper according to their orientation.

[Purposes] To retrieve regulations or statements on ethical norms for AI-assisted writing in domestic academic journals, construct a theoretical framework for AI-assisted writing ethics in Chinese journals, and provide references for improving related practices. [Methods] Using CNKI, Wanfang and official wechat public accounts as data sources, 14 academic journal statements were selected, and finally 9 texts were selected for qualitative text analysis using Nvivo20 software. The theoretical model is constructed by combining the Risk Management Guidelines (ISO 31000:2018) and the WHO Guidelines on the Ethics and Governance of Artificial Intelligence in the Field of Health. [Findings] Guided by the six ethical principles of WHO, with authors, editors, and reviewers as the core subjects, and the academic publishing process as the main thread, a theoretical framework for AI-assisted writing ethics in China was established. [Conclusions] The framework of AI-assisted writing ethics provides theoretical support for the application of AI in academic writing, and provides a reference for the practical management of journals. In the future, further research is needed to improve the details of the framework and promote the healthy development of AI-assisted writing.

[Purposes] To improve the accuracy and efficiency of peer review in biomedical journals, this study aimed to evaluate the capabilities of Claude 3 Opus and Kimi in peer review for biomedical journals and provide recommendations. [Methods] Peer reviews were conducted using Claude 3 Opus and Kimi on 29 papers from China Oncology that were at the final review stage before publication, and were examined according to the disclosure checklist in the Biomedical Research Reporting Guidelines. All authors declared their consent to use AIGC for peer review. The result of the AIGC peer reviews were scored using a 5-point Likert scale. Count data were analyzed using one-way ANOVA or Fisher exact probability test, and multiple paired measurement data were analyzed using the Friedman M test. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the two types of AIGC assessments were calculated using a four-fold table method, and ROC curves were plotted and assess their predictive capability. [Findings] Of the 29 articles, after the final review meeting, 6 were published, 15 were published after revisions, and 8 were rejected. Claude 3 Opus’s peer review conclusions led to the publication of 19 articles and the publication of 10 after revisions. Kimi’s peer review conclusions resulted in the publication of 9 articles, 16 after revisions, and 4 rejections. The Friedman M test showed no statistically significant difference between Kimi’s peer review conclusions and the experts’ conclusions at the final review meeting (M=0.241, adjusted P=1.000). The Likert scale results indicated that the experts at the final review meeting had a higher level of agreement with Kimi’s peer review results than with those of Claude 3 Opus (3.85±0.47 vs 3.48±0.73, F=10.017, P=0.002). In terms of reviewing according to the Biomedical Research Reporting Guidelines disclosure checklist, Claude 3 Opus’s evaluation accuracy was 77.5%, sensitivity was 76.9%, and specificity was 64.0%; Kimi’s evaluation accuracy was 75.2%, sensitivity was 77.5%, specificity was 70.1%. ROC curve analysis showed that the areas under the curve for Claude 3 Opus and Kimi were 0.818 and 0.841, respectively, indicating good predictive capability. Upon testing, there was no statistically significant difference between Kimi’s review results and the editor’s review results (M=-0.152, adjusted P=0.061). [Conclusions] Claude 3 Opus and Kimi have shown good capabilities in reviewing the disclosure checklist of biomedical research reports, with high consistency compared to editorial reviews. However, these two AIGC models have not yet reached the level of expert peer review, exhibiting issues such as inaccuracy in generated content, lack of personalization in generated content, insufficient extrapolation of external content, ambiguity in review content, overly coarse-grained generated content, bias towards positive evaluations in review conclusions. Despite these issues, they still demonstrate certain potential for application. To further enhance their effectiveness, it is recommended that medical experts, medical editors, and AIGC developers work together to establish relevant standards, ensure data security and quality, increase transparency, reduce review bias, adhere to publishing ethics, and establish effective supervision and feedback mechanisms to ensure the accuracy of AIGC in peer review for biomedical journals.

[Purposes] To establish a journal policy framework and documents in line with international standards and can be referred to by independently established China’s English scientific journals, in order to enhance the recognition of the China’s journal quality in the international academic publishing community. [Methods] By collecting the selection criteria of important databases such as WoS and Scopus, the recommendations and guidelines of main international academic publishing organizations such as COPE and ICMJE, the research ethical guidelines such as the Helsinki Declaration, the relevant policies of China, and drawing on the experience of international publishing institutions, the structure and necessary contents of the journal policy are analyzed and established. [Findings] A journal policy framework including peer review policy, editorial policy, research ethics and reporting guidelines has been established, the key points on contents and document writing are clarified. [Conclusions] The journal policy documents constructed based on this research has been reviewed and proved by international databases and international academic publishing organizations, and demonstrated to meet the international standards.

[Purposes] To analyze the copyright agreement of Shanghai biomedical OA journals and the issues related to copyright in the OA publishing process, and to figure out specific solutions, therefore to provide reference for the development of comprehensive copyright agreements and for adopting appropriate OA statements to OA journals in China. [Methods] This study retrieved and analyzed the member journals of the Committee of Biomedical Periodicals, Shanghai Society for Scientific and Technical Periodicals are the research objects. Based on the OA model of the journals, the copyright agreement and OA statement content of the OA journals are analyzed. The copyright agreement includes the name of the copyright agreement, the signing part of the agreement, the specific content of the copyright involved in the agreement, breach of contract liability and dispute resolution methods, digital publishing and database index-related information network dissemination rights, OA statements and creative commons (CC) license of the journal, and other specific details. [Findings] Among biomedical journals in Shanghai, bronze OA journals have the highest proportion (33.90%, 3837/112), but lack OA statements and CC agreements. In the copyright transfer contracts or OA statements of other types of OA journals, there are unclear copyright content, incorrect naming of rights, lack of provisions on information network dissemination rights, lack of breach of contract liability and dispute resolution methods, and copyright transfer agreements with only the author’s unilateral signature. In addition, the contradiction between the copyright agreement and the CC license mainly lies in the copyright of derivative works. The copyright agreement needs to be standardized. [Conclusions] OA journals should strengthen the management of the content of copyright agreement, improve copyright agreements and OA statements, and thus protect the interests of the publisher, the authors and the readers.

[Purposes] The paper aims to analyze enhanced publishing practices in high-impact international chemistry journals, uncovering content-enhancement strategies and knowledge-service initiatives of publishers, in order to offer insights for national journals.[Methods] Twelve internationally renowned chemistry journals were selected as research subjects. Through empirical analysis, this study systematically investigated their enhanced publishing strategies across dimensions such as HTML-based reading, multimedia integration, and data linking. Additionally, the knowledge service measures adopted by publishing institutions-including user experience optimization and open science practices were explored. [Findings] The research revealed that international journals widely adopt structured HTML, graphical abstracts, and supplementary materials (e.g., videos, code) to enhance data comprehensiveness and accessibility. Cross-platform integration of experimental data is achieved through partnerships with specialized databases (e.g., CCDC, GitHub). Publishing institutions further optimize user experience and knowledge acquisition efficiency by leveraging differentiated operational strategies on social platforms (e.g., Twitter, Bilibili) and open science initiatives (e.g., ChemRxiv preprints), significantly improving the depth of academic dissemination and user engagement.[Conclusions] High-impact international chemistry journals have markedly enhanced the efficiency of academic communication and user experience through data-driven content strategies, multimedia integration, and open science practices. National academic journals should draw on these experiences by constructing data-driven knowledge frameworks, advancing integrated journal clusters and platform development, and fully utilizing multi-channel dissemination platforms. These suggestions will elevate the quality of enhanced publishing and strengthen global competitiveness in alignment with evolving trends in academic publishing.

[Purposes] Irregular citation behaviors in academic journals exhibit complex forms and ambiguous boundaries. Existing guidelines often fail to encompass the full range of practical scenarios, with insufficient attention paid to questionable citation practices. [Methods] Drawing on retraction data, policy documents, and academic literature related to citation misconduct, this study analyzes citation irregularities from multiple dimensions, including behavioral forms and identification criteria. [Findings] It categorizes citation misconduct that must be strictly prohibited, as well as citation practices that deviate from academic norms and should be treated with caution. Based on these, the study proposes a backlist and graylist of citation behaviors. [Conclusions] By constructing the blacklist-graylist framework, this study provides a theoretical basis for identifying and preventing citation misconduct in the academic community. It aims to raise awareness among authors about citation norms and the integrity risks of gray-area citation practices, while also offering guidance for journals to establish more refined and actionable citation standards.

[Purposes] This study explores the functional repositioning of scientific journals in the context of rapid advancements in emerging technologies. The aim is to provide theoretical support and practical guidance for the future development of Chinese scientific journals. [Methods] Adopting a science of science perspective that emphasizes the unity of “science and society,” and utilizing the method of scientific knowledge mapping, this study examines how shifts in research paradigms and evolving needs of the scientific community influence the functional positioning of journals. The social functions of contemporary scientific journals are systematically repositioned across three dimensions: the core logic of journal development, its deepening, and its expansion. [Findings] Maintaining scientific authority and credibility is the foundational function of scientific journals. Deepening the linkage of knowledge development is a further deepening of the function of scientific and technical journals. Expanding into diverse academic ecosystems represents an innovative extension. [Conclusions] From a science of science perspective, scientific journals are not only mediums for academic dissemination, but also an important platform for academic community interaction, integration of innovation chains, and the shaping of research culture. The function and influence of scientific and technological journals are closely connected with scientific practice, and they cannot exist independently from scientific activities, nor can they produce function and influence independently of scientific activities.

[Purposes] This study aims to construct a quality evaluation and selection system for high-quality OA journals, providing methods and tools for scientifically assessing the quality of OA journals. It also offers reference guidance for scholars to select reliable and trustworthy publication platforms and serves as a benchmark for OA journals to optimize their management practices. [Methods] An expert panel was formed based on the “International OA Journal Recommended List” project. Through expert consultations, surveys, and multiple rounds of discussions and feedback, the OA journal evaluation and selection system was developed and tested and optimized during the project practice. [Findings] Based on the research results, the evaluation content and data indicators were established from three dimensions: publication standards, content development, and open practices. An OA journal evaluation and selection system was built, comprising three primary indicators, 17 secondary indicators, and several supporting quantitative and qualitative metrics. [Conclusions] The OA journal evaluation and selection system proposed in this study covers all aspects and processes of OA journal publishing activities. It provides a comprehensive evaluation of journal quality, and its results can offers a scientifically sound and feasible methodological support for the evaluation and selection of high-quality OA journals.

Purposes To analyze the bibliometric characteristics of journals selected for the Phase II of “Excellence Action Plan of China’s STM Journals” （hereinafter referred to as “Excellence Action”）， explore strategies to promote the high-quality development of China’s STM journals based on these findings. Methods Based on bibliometric indicator data from the 2024 Edition of the Chinese Science and Technology Journal Citation Report （Core Edition） （Chinese journals） and the SCI Journal Citation Report （JCR） （English journals）， we conducted statistical analysis on the Chinese and English journals selected for Phase II of “Excellence Action”（including leading journals and tiered journals）. Additionally， we compared and analyzed the trends in relevant indicators for journals that received funding in the first phase but were not selected for the second phase. Combining project application and evaluation requirements （project planning feasibility， academic influence， editorial team， publishing operations， and dissemination capabilities）， we conducted a comprehensive discussion combining quantitative and qualitative analysis. Findings The overall funding rates for Chinese and English journals selected for the second phase of the “Excellence Action” were 35.1% and 50.4%， respectively. Quantitative indicators such as comprehensive evaluation metrics and impact factor were not decisive factors in determining whether a journal was selected. The selected Chinese and English journals were highly concentrated in the three major administrative units of the Chinese Academy of Sciences， the China Association for Science and Technology， and the Ministry of Education （72.5% for Chinese journals and 78.5% for English journals） as well as in research-strong provinces/cities such as Beijing and Shanghai. Conclusions The selection results of the second phase of the “Excellence Action” reflect a comprehensive orientation that balances quantitative indicators and qualitative assessments. The selection philosophy and practices of the “Excellence Action” provide important insights for China’s efforts to build world-class STM journals. Future high-quality development of scientific journals requires a focus on and strengthening of initiatives such as scholar-led journal publishing， leveraging academic leadership， balancing publication scale with academic quality， enhancing editorial and publishing service capabilities， and strengthening sustainable development and platform construction.

[Purposes] Based on a systematic survey and analysis of the research data policies in Chinese core journals, this study aims to bring forward several suggestions for optimizing the road map of domestic journal research data policies in the future. [Methods] The study mainly used web-based survey and content analysis methods. According to the list of well-known domestic core journal categories, a systematic survey was conducted on 3166 target journals. The results were interpreted and analyzed from multiple perspectives, including disciplinary distribution, distribution of supervisory organizations, policy tiers, requirements for data repositories, requirements for data availability statements, requirements for data submission stages, and the situation of research papers with shared data. [Findings] Among the 3166 target journals, only 392 journals have released data policies. According to the analysis, it can be found that there are several shortcomings in certain aspect, such as the top-level promotion and guidance of journal research data policies, the infrastructure that supporting the implementation of research data policies and so on. [Conclusions] To promote the high-quality development of research data in journals, it is necessary for multiple stakeholders, including publishing management organizations, publishers, and information service institutions, to work together to build a better system for the implementation of research data policies. Efforts should be made in several aspects, such as top-level guidelines, various types of infrastructure for research data in academic publishing, and information services construction.

[Purposes] This paper discusses how scientific journals construct and develop new quality productivity in the era of artificial intelligence. It analyzes the connotation of the new quality productivity of scientific journals, as well as the restructuring of its elements and value transfer. On this basis, a model and development strategies for the new quality productivity of scientific journals are presented. [Methods] Analyze the new quality productivity of scientific journals from two dimensions of “newness” and “quality”. Interpret “newness” from new technologies, new economies and new business forms, and interpret “quality” from reform traction, innovation driving force and value centripetal force. On this basis, analyze the laborers, means of production, objects of labor, production relations and ecology that match the new quality productivity of scientific journals. Analyze the value transfer and reconstruction of scientific journals from three dimensions: from people to AIGC, from scenarios to industry large models, and from the scientific journal industry to the affiliated science and technology industry. [Findings] Scientific journals can build new quality productivity from directions such as intelligent content production, review, editing and proofreading, accurate content recommendation and personalized services, topic selection analysis and trend prediction, automated operation and intelligent decision support, global knowledge services, AIGC omnimedia content forms, cross-language and cross-cultural global communication, etc., to achieve breakthrough changes in scientific journals and exert unique value. [Conclusions] Against the backdrop of new quality productivity, we should reshape the workflow of scientific journals, further stimulate creativity, highlight the value of the platform, significantly increase the value of digital assets, maximize brand value, substantially enhance market competitiveness and global academic influence, greatly improve the level of participation and discourse power within the science and technology industry, and ultimately achieve high-quality development of scientific journals.

[Purposes] This study explores the operation characteristics and dissemination effectiveness of Chinese social science journals on domestic and international short video platforms, and proposes specific strategies for optimizing platform operations and enhancing dissemination effectiveness. [Methods] We collected data on the operation of representative Chinese social science journals on platforms including Douyin, WeChat video channels, X, and YouTube through online searches, observations, and interviews. We analyzed the operational characteristics and influencing factors of these accounts based on the GSIPS model. [Findings] Operating on short video platforms can help expand dissemination channels, reach a broader audience, and enhance the dissemination effectiveness of social science journals. Although an increasing number of social science journals have registered and are actively managing their accounts on short video platforms, the overall effectiveness varies, facing challenges related to motivation, attractiveness, authority, interactivity, unity, and coordination. [Conclusions] We should verify official accounts, diversify dissemination formats, shape brand identity, build academic communities, provide value-added content services, and optimize diverse dissemination strategies to achieve the professional, diverse, and integrated development of social science academic journals on short video platforms.

[Purposes] It holds significant implications for the construction of scientific research integrity in the new era to clarify the internal relationship between generative artificial intelligence (GenAI) and predatory journals. [Methods] Based on literature review, online research, and logical analysis, this paper summarizes the behavior patterns and characteristic identification of predatory journals under the influence of GenAI. [Findings] In the academic publishing process, predatory journals exhibit three behavior patterns: low-quality content in academic creation, forged peer review in academic evaluation, and citation fraud in academic dissemination. Based on these patterns, this paper explores the technical application for predatory journals from four aspects: detecting predatory content, analyzing behavioral warnings, monitoring citation manipulations, and providing knowledge-based Q&A regarding predatory practices. [Conclusions] Identifying journal behavior patterns, enhancing technical detection and application, improving institutional frameworks, and strengthening multinational collaboration are important governance paths for predatory journals in the GenAI era.

[Purposes] This study aims to systematically compare how Chinese and Western academic journals govern the risks associated with generative AI (GenAI) participation in academic paper writing, providing insights and recommendations for domestic academic ethics under the impact of AI. [Methods] Using grounded theory, the authors conducted a three-level coding of official statements from 300 leading Western journals and performed a parallel comparison of their core categories with corresponding texts from Chinese journals. [Findings] Both Chinese and Western academic journals have recognized the multifaceted ethical and legal risks of GenAI participation in academic writing and are attempting to manage these risks through two main approaches: subject accountability and ethical regulation. However, discrepancies exist in the specific content and norms. The study also identifies several issues in Chinese journals, such as a low volume of official statements, lack of clear disclosure of usage boundaries recognized in the West, absence of a unified declaration format, insufficient explanation of third-party detection report submission requirements, and unreasonable limitations on the extent of GenAI use. [Conclusions] Following the principle of “drawing on advanced Western experience while grounding in China’s reality”, the study suggests that Chinese academic journals should consider adopting Western practices in areas such as intellectual property and privacy protection in GenAI-assisted writing, early warning mechanisms for public opinion triggered by algorithmic bias, accountability assignment for editorial entities, fulfillment of journals’ social obligations, and interpretive clauses for ambiguous usage boundaries.

[Purposes] To explore the innovative pathways, development outcomes, and lessons learned from the centralized management model of university journals. [Methods] Taking “Xi’an Jiaotong University Journal Cluster” as an example, this study combines the evolutionary process of the journal group and its management model innovations to summarize specific innovative practice pathways, achievements, and insights. [Findings] The centralized management model has enabled“Xi’an Jiaotong University Journal Cluster” to achieve significant results in launching new journals, enhancing academic influence, promoting scholarly communication, and constructing the “Silk Road Journal Cluster”. [Conclusions] The centralized management model ensures the sustainable development of journal groups through top-level design, innovative management models, operational reforms, organized research initiatives, and collaborative journal operation models. It serves as a significant approach for the clustered management of university journals.

[Purposes] This study aims to explore a quantitative evaluation framework for the impact of data papers in the context of new scientific data publication patterns, implement an evaluation practice for the impact of data papers in China, and provide recommendations for the development of data paper publication and scientific data sharing and reuse. [Methods] Starting from a dual perspective of “scientific data attributes” and “academic paper attributes”, this study conceptualizes various attributes of data papers and visualizes their impact through six evaluation variables: format standardization, breadth of academic impact, depth of academic impact, social impact, scientific content, and data dissemination effectiveness. These variables are quantified into a series of specific measurement indicators, culminating in a comprehensive impact composite indicator designed based on a multidimensional quantitative indicator system. Using the Chinese science citation database (CSCD) and Elsevier’s Scopus database as data sources, this paper quantitatively evaluates the impact of data papers published by Chinese researchers based on the proposed evaluation methodology. [Findings] The findings reveal that current standards for defining data papers are not yet unified, the publication formats of data papers need to be standardized, and there is an imbalance in the publication of data papers in international and domestic data journals. There are significant differences in the volume of data papers published across various disciplines, with varying levels of emphasis on scientific data. [Conclusions] It is essential to enhance the promotion and application of standards related to the publication of data papers and to increase the support of science and technology policies for data paper publishing. This can be achieved by encouraging journals to create dedicated Data Paper Sections, collaborating with scientific data repositories, and establishing best practices for open data. Furthermore, the development of methods to evaluate and promote the expansion and improvement of data journals should be further pursued.

[Purposes] Identifying and addressing issues in the digital publishing platforms of academic journal clusters in China’s universities to promote the development of university journal cluster platforms. [Methods] Through literature review, case studies, and telephone surveys, employing methods such as summarization and logical analysis, this research investigates the journal cluster platforms of 18 “Double First-Class” universities, identifies common issues, analyzes potential causes, proposes development pathways, and introduces the practical experience of Xi’an Jiaotong University. [Findings] Currently, university journal cluster platforms face issues such as uneven development, limited quantity and capacity, unclear positioning, weak functionality, lack of user service awareness, and limited influence. These problems stem from the dispersed distribution of university journals, weak organizational capacity, insufficient sustained investment, weak self-sustaining capabilities, and a shortage of technical talent. When constructing journal cluster platforms, universities and journal management departments should adhere to intensive development, clarify platform construction goals, dynamically adjust and evolve progressively, increase human resource investment, promote technical collaboration, enhance multifunctional convenience, highlight distinctive features, explore big data and artificial intelligence technologies, and strengthen profitability. Xi’an Jiaotong University has established the silk road journal cluster through cluster-based development, supporting it with a dedicated platform and implementing a three-step strategy for steady progress. The construction unit has assigned internal specialists, actively sought external technical cooperation, and created a platform offering full-process functional services, multilingual support, and empowerment through big data and artificial intelligence. Through professional team operations and platform brand building, profitability is strengthened, ensuring the long-term sustainability of the platform. [Conclusions] The development of university journal cluster platforms remains insufficient. Universities should clearly recognize the crucial supporting role of these platforms for journal clusters, fully leverage their functions, and create user-friendly and intelligent university journal cluster platforms.

[Purposes] To explore the methods and paths of popularizing academic paper resources for teenagers. [Methods] By analyzing the experience of Science Journal for Kids and Teens(SJKT), combining with the current situation of popular science papers in our country, focusing on the “5W” dimension, to discuss the paper popularization suggestions for teenagers. [Findings] The experience of SJKT provides a practical enlightenment for the popularization of theses in our country. There are still some problems in our country, such as the low proportion of scientific papers, the lack of cooperation among science subjects, the limited resources involved in science popularization and the lack of science popularization talents. [Conclusions] The enlightenment and suggestions on the popularization of academic paper resources for teenagers mainly include five contents: build a “science popularization community” to share and build academic paper resources; grasp the frontier of science and technology, plan the topic of popular science papers; innovation of science popularization scene, construction of paper resource dissemination matrix;implement accurate science popularization and give play to the long tail effect of academic papers; improve feedback on science popularization and explore mechanisms to improve the effectiveness of science popularization.

[Purposes] This study explores the citation advantage of preprints published by highly cited scholars and compares this advantage with their journal article citation advantage, aiming to reveal and understand the role of author reputation in the dissemination and diffusion of preprints. [Methods] Taking preprints from the platforms arXiv, bioRxiv, and medRxiv as the research objects, we group together preprints that were posted on the same platform in the same year and subsequently published in the same journal within that year. Within each group, the primary author of the most highly cited preprint is defined as a highly cited scholar, while authors whose citation counts are more than 1% lower than that of the highly cited scholar are defined as non-highly cited scholars. Linear regression models were used to compare the citation differences between preprints authored by highly cited scholars and non-highly cited scholars, as well as the differences after formal journal publication. [Findings] Preprints and journal articles published by highly cited scholars both exhibit a citation advantage, with the citation advantage being more pronounced in journal articles than in preprints. [Conclusions] Author reputation plays a crucial role in the dissemination and diffusion of preprints, as preprints published by highly cited scholars receive more attention and citations. It is recommended that preprint platforms optimize their recommendation algorithms to enhance the fairness of scientific communication.

[Purposes] This study is committed to constructing a scientifically and operable evaluation index system for digital scholarship service capability of scientific journals cluster platform, providing theoretical guidance and practical reference for them to better serve scientific research and academic publishing, and to build and enhance digital scholarship service capabilities. [Methods] We established a capability maturity model and level description for digital scholarship service capability of scientific journals cluster platform based on capability maturity model. Then we established the capability hierarchy model by conducting literature review, case studies, and expert interviews, and identified key capability elements, determined evaluation indicators and their weights. Finally, we evaluated four typical cluster platforms of scientific journals. [Findings] The evaluation index system of the digital scholarship service capability of scientific journals cluster platform established after expert consultation and questionnaire survey includes 3 dimensions, 14 primary indicators, and 37 secondary indicators, which can be used for practical evaluation. [Conclusions] Empirical evidence showed that the evaluation index system is feasible for evaluating the digital scholarship service capability of scientific journals cluster platform. The empirical data can serve as a reference for the construction and improvement of the digital scholarship capability of China's scientific journals cluster platform.

[Purposes] The retraction of academic papers serves as a self-correction mechanism in the scientific community. Therefore, it is necessary to analyze the characteristics of retracted paper, so to reveal the history, current situation, and regular patterns of retraction, thereby providing targeted recommendations to enhance research integrity management for various academic communities. [Methods] Using global retracted paper records in Retraction Watch (RW), 32868 journal papers retracted between 1980 and 2023 were selected. The retracted reasons were divided into two major categories, “misconduct suspected” and “not misconduct”, with a total of 12 subcategories. Statistics were conducted from five aspects, including the time lag, reasons, disciplines, journals, and countries/regions of retraction. And the performance differences of the 12 subcategories of retraction reasons were analyzed in detail. [Findings] The number of retracted papers worldwide has consistently increased, with a notable rise in cases attributed to ‘misconduct suspected’. The average retraction lag in the past decade was approximately three years, with a shortening trend over the last five years. Basic life sciences (BLS) and health sciences (HSC) dominate as the most affected disciplines-‘hardest hit areas’ for retracted papers, while retracted papers, in business/technical (B/T) fields show increasing trends. The number of retracted papers from international collaborations is slightly lower than that from non-international collaborations. While the proportion of suspected misconduct papers is higher in developing countries than in developed ones. Among the 12 retracted reasons, the leading categories in the past three years are the authorial breach of trust, the editor/publisher’s breach of trust, and the forgery/tampering of papers, with significant differences observed in their distribution. [Conclusions] In order to effectively deal with the increasingly research misconducts, tailored management strategies should be formulated in the different disciplines, journals, and countries in combination with the characteristics of the retracted reasons. And we also need to optimize the method of monitoring, identifying and handling risky papers, to help the academic community to deal with dishonesty in scientific research.

[Purposes] To provide basic data and evaluation indicators for management departments at all levels, research institutions, journal editorial departments and researchers. [Methods] Using data from Chinese core scientific journals, statistical analysis was conducted on the overall including citation and source indicators, disciplines, regions, the number of articles and basic information of the journals. [Findings] From 2021 to 2023, the main indicators such as the core impact factors, and the ratio of funded papers in journals have been increasing year by year, but core total citations slightly decreased. Beijing, Shanghai, Jiangsu, Hubei and Shaanxi provinces have the largest number of core journals. In 2023, 443197 papers were published in core journals in the field of natural sciences and 49408 in the field of social sciences. China’s core scientific journals (including natural science and social science fields) with a publication duration of 20 to 50 years account for the majority. The largest number of bimonthly periodicals which the natural science field accounted for 46.1% and the social science field accounted for 54.2%. [Conclusions] The academic influence of Chinese core scientific journals is increasing.

[Purposes] The classification of interdisciplinary journals from the perspective of knowledge elements in journal papers not only provides a new research perspective for content-based journal classification, but also offers valuable reference for researchers in selecting journals for submission. [Methods] Taking 20 core journals (CSSCI journals) in information resource management—characterized by notable interdisciplinarity and close knowledge exchange—as examples, the knowledge elements in these journals were extracted using the SciAIEngine platform. These knowledge elements were then vectorized using word embedding techniques. After dimensionality reduction with PCA, the knowledge elements were clustered. The centroid vectors of each cluster were obtained using vector synthesis methods, and similarities between centroid vectors of different journals were calculated. Journal similarity metrics were computed to construct a journal similarity matrix. Finally, clustering algorithms were applied to achieve journal categorization. [Findings] The classification results varied under different knowledge elements. Based on problem knowledge elements, the 20 journals were categorized into 3 groups of Library Science and 1 group of Information Science. When using method knowledge elements, the journals were divided into 2 groups of Library Science and 1 group of Information Science. [Conclusions] Compared to existing journal classification methods, the knowledge element-based journal classification method allows for “fine-grained” analysis of journal paper contents. It provides more objective, flexible, reliable, and dynamically adaptable classification results.

[Purposes] To explore the contributions of different countries and regions to China’s science journals and its changing trends, so as to provide decision basis for the internationalization development of China’s science journals. [Methods] Taking the Chinese scientific journals continuously included in SCI database from 2019 to 2023 as the research object, and taking InCites database as the data source, the statistical analysis was carried out on the number of papers, citations, citations per paper, category normalized citation impact (CNCI), average percentile, percentage of highly cited papers, hot papers, Q1 papers and Q2 papers in Chinese scientific journals of various countries and regions. [Findings] Except for China, the countries that published more papers in Chinese journals were the United States, South Korea, India, Japan and Germany, with 10407, 3328, 3055, 2730 and 2656 articles, respectively. According to the impact indicators, Thailand, Singapore, Malaysia, Saudi Arabia and Australia had outstanding performances. The contribution of American, Germany, England, France, Canada, Italy, Australia to China’s science journals has been declining, and the number of papers in China has increased rapidly. [Conclusions] The United States has played an important role in the internationalization of Chinese science journals, but the impact of papers is not good. The contribution of Asian developing countries to the impact index of Chinese scientific journals is better than that of western developed countries; The contribution of western developed countries for the authors internationalization to Chinese scientific journals continues to decline.

[Purposes] To strengthen the development of first-class journals and promote the optimization of research evaluation systems in universities and research institutions, this study constructs a novel journal evaluation metric from the perspective of journal editorial board members, aiming to provide new insights and methods for measuring the influence of academic journals. [Methods] Taking the field of operations research and management science as an example, this study integrates multi-dimensional data such as editorial board levels, the size of editorial boards at different levels, and editorial board members' academic achievements. The editorial scholarly index (ESI) is constructed, with academic achievements of editorial board members quantified through indicators such as the number of articles, total citation count, citations per paper, citations of representative works, h-index, and w-index. [Findings] Verification using the UTD 24 journal list shows that the editorial scholarly index based on citations per article (ESI) performs the best, while the index based on article quantity shows relatively weaker results. [Conclusions] The ESI serves as an effective supplementary metric for measuring the impact of academic journals, offering new perspectives and tools for journal evaluation.

[Purposes] To explore the evolutionary trend of academic misconduct and the contamination status of the literature pool, thereby providing a foundation and recommendations for targeted measures to improve scientific research integrity. [Methods] Retraction data from 1995 to 2024 were sourced from the Retraction Watch Database. The temporal evolution patterns of academic misconducts were analyzed based on the retraction reasons. The contamination status of the literature pool was analyzed based on the proposed real-time and cumulative pollution indices, as well as the temporal evolution of retraction delays and the citations of the retracted articles. [Findings] Traditional academic misconducts, including plagiarism, falsification, and duplication, have been persisting, while emerging misconduct such as image issues, fake peer review, paper mill, and randomly generated content have become mainstream reasons for retraction. The pollution indices of the literature pool are slowly rising, with the global cumulative pollution index reaching 2.8? and China’s real-time pollution index increases rapidly. The global average retraction delay is prolonged, and the h-index of the retracted articles mostly falls within the range of 60~90. [Conclusions] Global retractions exhibit characteristics of regional concentration, complex and concealed reasons, and slowly rising pollution indices of the literature pool. It is imperative to establish a monitoring and warning mechanism for academic misconduct, systematically standardize and optimize the retraction process, and scientifically construct quality assessment systems and control strategies to maintain the cleanliness of the literature pool.

[Purposes] The study aims to sort out the dilemmas and solutions in the integrated development of preprint platforms and journals, and provide a set of innovative practice samples for reference in the construction, operation, and optimization of similar platforms in the future. [Methods] By using the methods of literature review and case study, the authors pointed out the existing problems in the integrated development of preprint platforms and journals, including those in the aspects of concepts and cognition, copyright and interests, quality control and evaluation systems, funds and operations, as well as technology and platforms. Taking China Music Journal Network·Preprint Platform as a case, the authors analyzed its solutions and innovative practices. [Findings] The current dilemmas can be addressed by leveraging the brand influence of partner journals, improving the platform’s regulatory documents, combining preliminary screening with peer review, exploring diversified sources of funding, and making full use of digital technologies. Moreover, digital development exploration and practice can be carried out in four aspects, that is optimizing content presentation, enhancing social interaction and collaboration functions, improving the intelligent analysis, recommendation, and search systems, and building an all-media communication matrix. [Conclusions] The innovative practices of China Music Journal Network·Preprint Platform in the clustering of discipline-based knowledge and journals, as well as in digital development, are undoubtedly a bold and beneficial attempt for the current journal to get out of its development predicament. The practical results have injected strong confidence and motivation into many journals that have been taking a wait-and-see attitude towards preprint platforms and have also played a good exemplary role in exploring the path to building preprint platforms with Chinese characteristics.

[Purposes] This study explores the application prospects of AI in review process to provide insights for the digital and intelligent development of academic publishing. [Methods] Based on literature research and comparative analyses of review policies in domestic and international academic journals, using SWOT analysis, the study systematically examines the advantages, disadvantages, opportunities, and challenges of AI-assisted review,constructing a SWOT analysis matrix. [Findings] AI technology has potential for application in the review process, which can improve review efficiency and enhance the objectivity of reviews. However, problems such as hallucination, bias, security, and trust need to be addressed to achieve large-scale application. This relies on the development of trustworthy intelligent review systems and the establishment of supervision mechanisms. [Conclusions] In the future, to achieve human-machine collaborative AI-assisted review, it is necessary to enhance AI’s technical transparency, strengthen accountability, establish an open data alliance, and implement regulation and governance for AI's technical limitations and ethical risks. Through the dual optimization of technology and systems, AI has the potential to become a crucial tool in streamlining the academic review process.

[Purposes] Based on the “multi-journal submission” of Cell Press and other “opening up multiple submission” models, this paper proposes an “opening up multiple submission” model for preprint platforms, providing a path reference for promoting the high-quality development of preprint platforms in China and maintaining a good academic ecosystem. [Methods] By using literature review, comparative analysis and case analysis methods, this paper sorts out the connotation, process and optimization path of the “opening up multiple submission” model of preprint platforms. [Findings] From the current practice, preprints can be centrally processed through a unified platform, with pre-review and recommendation by subject editors, and “community review” during open peer review, ultimately attracting journal acceptance, which has already shown the characteristics of the “opening up multiple submission” model. [Conclusions] Preprint platforms should further strengthen their attributes as submission platforms, form subject editor teams, set up peer review systems, and closely connect with academic journals to better achieve “opening up multiple submission”, play the role of a bridge and link between authors, readers and journals, and ultimately promote the high-quality development of Chinese academic communication system.

[Purposes] This study explores sustainable strategies to enhance the global impact of locally published academic journals. [Methods] Using Zoological Research (ZR) as a case study, we analyze the developmental pathways and measures implemented by ZR to improve its influence since transitioning to English-only publication. [Findings] With strong support from journal publishing funding and national technological resources, ZR has effectively integrated available resources to become a leading and influential journal in the field of zoology. [Conclusions] As a successful example of cultivating an academic journal primarily relying on local resources, ZR’s practical experiences offer valuable insights for other Chinese scientific journals seeking sustainable development strategies.

[Purposes] To explore the effectiveness of the percentage of top papers (Ptop) published by journals for the evaluation of the academic influence of journals. [Methods] Using WoS database, we obtained the catalogue of SSCI-indexed library and information science journals in 2023 and the main bibliometric indexes, and using InCites database, we collected all the papers published by library and information science journals in 2021―2022 and their citation frequencies, and further obtained the distribution numbers of journals with Ptop5%, Ptop10%, Ptop15%, Ptop20% and Ptop25%, respectively, and calculate the percentage of Ptop5%, Ptop10%, Ptop15%, Ptop20%, Ptop25% of each journal of library intelligence. Using the Scopus database, the 2023 CiteScore, SNIP, and SJR of library and information science journals were included, and the correlation analysis between the different Ptop percentages library and information science journals and their main journal evaluation indexes was carried out. Databases of WoS, InCites and Scopus, were used to obtain data on indicators such as Ptop5% share, Impact Factor Percentile, JCI, SNIP and SJR for journals in ethics, communication and business finance, following the methodology described above. [Findings] Different Ptop ratios of SSCI library and information science journals had significant positive correlations with the impact factor, CiteScore, 5-year impact factor, the immediacy index, eigenfactor, article influence score of the journals (all P=0.000), and negative correlations with the cited half-life of the journals (all P>0.05). Among the different Ptop percentages, Ptop 15% showed the greatest correlation with impact factor (r=0.949); while Ptop 5% showed the greatest correlation with CiteScore, 5-year impact factor, immediacy index, eigenfactor and article influence score. The different Ptop percentages of library and information science journals showed significant positive correlations with impact factor percentile, JCI, SNIP, and SJR (all P=0.000); among the different Ptop percentages, Ptop15% showed the strongest correlation with impact factor percentile (r=0.949), Ptop20% showed the greatest correlation with JCI, and Ptop5% showed the greatest correlation with SNIP, SJR both had the strongest correlation (r=0.699, r=0.758).The Ptop5% share of journals in the three disciplines of ethics, communication and business finance included in the SSCI had a positive correlation with their impact factor percentile, JCI, SNIP, and SJR (all P <0.001). [Conclusions] The different Ptop percentages of journals can be used to evaluate the academic impact of journals, among the different Ptop percentages, the Ptop5% percentage is more suitable for the evaluation of the academic impact of journals.