[Purposes] Scientific papers published at home and abroad by Chinese researchers are analyzed to provide decision-making support for management personnel at all levels. [Methods] Based on important databases, such as Science Citation Index, Engineering Index, Conference Proceedings Citation Index-Science, Social Science Citation Index, and Chinese Scientific and Technical Papers and Citations Database, the number of Chinese excellent scientific papers, scientific papers, discipline and region distribution, papers of fund projects, international coauthored papers, and Chinese social science papers were studied and analyzed. [Findings] The number of excellent scientific papers in China were 695.9 thousand in 2023, up 16.8% from 2022. According to SCI, Chinese authors have produced about 740.8 thousand papers indexed by SCI in 2023. Chinese papers were cited 80.69 million times from 2014 to August 2024, increasing 19.6% compared with that in 2023. China ranked the second. On average, Chinse papers were cited 16.20 times per paper, increased by 6.7% compared with that in 2023, exceeding the world average by 15.76 times per article for the first time. [Conclusions] The number of Chinese scientific papers and the improvement of paper impact have increased rapidly in recent years.

[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] To explore the application capabilities of four large language models (LLMs) in key information extraction and summarization of medical papers, providing empirical references for the technical pathways of knowledge services in STM journals. [Methods] One hundred research articles published in National Medical Journal of China were selected randomly.Using prompt engineering, ChatGPT 4o, Kimi, ChatGLM 4.0, and iFLYTEK Spark were employed to extract information in JSON format from the papers. The LLMs’ abilities in knowledge extraction, text comprehension, and summarization were evaluated.[Findings] All models returned accurate JSON-format data successfully, demonstrating high accuracy in extracting information such as study sample, sample size, disease, research type, discipline, and keywords. The models also performed well in summary generation, though their understanding of research methods was suboptimal. [Conclusions] The study indicates that LLMs possess strong capabilities in text comprehension, knowledge extraction, and summarization, but certain shortcomings remain. Overcoming these technical challenges could enable GenAI to play a significant role in STM journal dissemination, knowledge services, and decision-making support in vertical domains.

[Purposes] This paper aims to explore the operational strategies and implementation effects of the open access (OA) journal PLOS ONE, in order to examine how to maintain openness and efficient dissemination while ensuring and enhancing the journal’s impact in an open science environment. [Methods] Through a literature review and online research, the operational strategies of PLOS ONE are explored, and two evaluation indicators, the TOP factor and the design of the PPCI (post-publication citation index), are used to analyze PLOS ONE’s openness, transparency, and journal impact at different development stages. [Findings] The study finds that PLOS ONE has significantly improved its openness, transparency, and academic impact by optimizing and improving the institutional framework for journal operations. [Conclusions] The practice of PLOS ONE demonstrates that the key to resolving the contradiction between openness and quality control in OA journals lies in further increasing openness and transparency, while reasonably controlling publication volume, and institutionalizing open peer review.

[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 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] Comprehensively analyze the policy texts of research data ethics governance under the perspectives of scientific research integrity governance, scientific data management, and scholarly publication management, and construct a framework of research data ethics governance, so as to provide references for the systematic governance of scientific research data ethics, as well as the construction of the policy system. [Methods] This paper mainly adopts literature research method, policy text analysis method and case analysis method to sort out the current research and practice status of scientific research data ethical governance. Collect texts on research data ethics governance policies of international organizations, government agencies, funding agencies, academic associations, publishing institutions and research and education institutions, and select typical cases. Focusing on “ethical governance of scientific research data” as the core category, we encode policy texts with the Grounded theory and to construct the conceptual framework by detailed analyzing the meaning and relationship of the main categories and sub-categories contained in the conceptual framework. [Findings] After text mining, 24 sub-categories were initially analyzed, and after generalization and merging, five main categories including stakeholders, governance objects, governance contents, governance means and governance benefits were formed. Finally, around the core category of “ethical governance of scientific research data”, we clarify the types of data entities and their related ethical issues, and construct a framework of ethical governance of scientific research data that is demand-led, supported by multiple actors, and takes into account both process governance and ecological governance. [Conclusions] The study shows that the ethical governance of scientific research data is closely related to scientific research integrity, data management, academic publishing, etc., and is a systematic governance system with the participation of multiple subjects and concerted actions, and the governance content, means and benefits of governance among the governance policies of each subject are cross-fertilized. By building a framework for ethical governance of research data, it not only helps each subject to clarify its own responsibility, but also helps to build a policy community for ethical governance of research data from a global perspective.

[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] 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] 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 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] 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 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 explore how generative artificial intelligence empowers the creation and dissemination of video abstracts for scientific papers, we analyze the advantages and challenges faced by artificial intelligence generated content (AIGC) in journal publishing and dissemination applications. ［Methods］ A method was proposed that leveraged multiple AIGC models to assist in journal cover design and video abstract creation. Through specific case studies, the process of using Kimi AI to generate scripts, Zenvideo digital humans for dubbing, Jimeng AI to create storyboard videos, and PPT to design text without background was detailed. An in-depth analysis was provided on the significance of AIGC in transforming text abstracts into video abstracts, the impact of AIGC on new media editing work, and the ethical challenges surrounding AIGC generation. ［Findings］ AIGC technology significantly enhances work efficiency and quality in journal cover design and video abstract creation, reduces production costs, and improves the readability and acceptability of paper abstracts. AIGC promotes the integration of journal publishing and new media dissemination. However, challenges such as bias, information leakage, reliability, and authenticity emerge during content generation. ［Conclusions］ Generative artificial intelligence empowers the creation and dissemination of journal cover designs and video abstracts for scientific papers, profoundly impacting new media editing work. Therefore, it is crucial to recognize and address the potential ethical issues in AIGC usage to ensure the effectiveness and authority of academic dissemination.

[Purposes] Statistics on the current situation of Chinese scientific and technical journals in the construction of publication ethics in order to enhance the quality of publication ethics of Chinese scientific and technical journals. [Methods] A comparative study was conducted on the publication ethics of Chinese and English scientific and technical journals included in the core library of the Chinese Science Citation Index (CSCD) (2023—2024). Based on the three-level theoretical analysis framework of “division of responsibilities - normative elements - actual content of ethical norms”, we conducted a comparative study on the ethical norms for publishing journals in Chinese and English. [Findings] Chinese scientific and technical journals have made certain achievements in the construction of ethical norms for publication, but there were problems that are more prominent. In the construction of norms was reflected in the overall publication rate was weak; In the content of the norms was reflected in: the norms for authors were characterized by a lack of specific operational rules for multiple submissions and duplicate publications, and the norms for authors’ conflict of interest declarations were weaker, insufficient attention to scientific research ethics, and a lack of application vectors for data storage and reproducibility norms. There was still room for enriching the content of reviewer’s standard; the editorial standard was relatively insufficient in the new academic misconduct management standard, and the complaint appeal and correction withdrawal standard and process were not specific enough; there was a difference between the journal publisher’s standard and the international level in journal management. [Conclusions] It was recommended to increase the rate of publication ethics in terms of norm construction. Clarify the details of various author norms, and draw on the advanced experience of reviewer norms of international authoritative organizations and well-known publishers, and guarantee that rights and obligations stipulated in the management of journals are duly exercised in terms of norm content.

[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] To analyze the current situation of national standards and industry standards related to the editing and publishing of scientific journals in China, and preliminarily build the standards system framework, so as to provide reference for the formulation and improvement of scientific journal standards and the work of scientific journal editors. [Methods] The national public service platform for standards information was searched to obtain the national standards and industry standards related to the editing and publishing of scientific journals, which were then classified to construct the standards system framework. The standard release date, replaced standard, competent department, drafting units, standard adoption status and standard acquisition method were analyzed. [Findings] The standards system framework for editing and publishing of scientific journals was preliminarily constructed, which was divided into 3 categories (basic standards, publishing form standards, and editing standards), including 11 subcategories, and 59 standards. The system included 35 national standards and 24 industry standards. The release date of the standards is concentrated in two time periods: from 1986 to 1993 (10 items) and from 2009 to 2023 (41 items). Twenty-two current national standards have replaced the previous standards. Ten national standards adopt international standards. National Press and Publication Administration managed the largest number of standards as the competent department. The drafting units of the 17 standards are more than five. Multiple ways could be used to query and obtain standard information online. [Conclusions] The number of standards related to the editing and publishing of scientific journals has increased in China in recent years. The standards are more focused on specific norms for journal editing and publishing, and the number of drafting units has increased. The ways of obtaining standards online have increased. The standards related to the editing and publishing of scientific journals have been systematized, which can be used as the basis for the construction of the standards system table. The standards system should be improved to cover the whole process of scientific journals, and the role of industry groups in standard formulation should be emphasized.

[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] 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] 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 aims to analyze the characteristics of world-class scientific journals, enhance a comprehensive understanding of them, and explore practical and feasible paths for helping Chinese scientific journals to ascend to the first echelon in the world in terms of comprehensive strength. ［Methods］ Based on the data of 145 world-class scientific journals selected by the peer review of the Nature Index, we conducted a scientometric analysis on these journals from multiple dimensions such as academic influence and social influence, and a comparative study with 22 leading scientific journals included in the “Excellence Action Plan for China's STM Journals” in 2019. ［Findings］ World-class scientific journals usually have a long history, strong paper-carrying capacity, high-quality manuscript sources, and a high level of internationalization, as well as strong capabilities in clustering, industrialization, and digitalization. In contrast, leading scientific journals in China are relatively weaker in these aspects. ［Conclusions］ In the pursuit of becoming first-class, Chinese scientific journals should maintain the patience of making steady progress and accumulating strength, accumulate the depth and breadth of the journal, optimize the manuscript review, editing, and proofreading processes, improve the quality of manuscript sources, strengthen international cooperation, and enhance the level of internationalization. From the perspective of the management departments, they should establish a high-quality scientific journal evaluation system with Chinese characteristics, gather advantageous resources, promote the cluster development of journals, build a national platform for publishing, dissemination, and service, and promote the transformation and upgrading of the journal industry.

［Purposes］ To ensure the sustainable development of China's scientific journals, this study aims to construct a comprehensive, scientific, and systematic publication ethics standards system for scientific journals, and to promote the construction of publication ethics norms in the journal publishing industry. ［Methods］ First, based on the subject-object relationships and interactions within scientific journals, we clarified the classification and modules of publication ethics norms. Then, we investigated a wide range of representative publication ethics norms at home and abroad and identified the key theme elements according to the norm consensus. Finally, we adopted the expert consultation method to establish the final publication ethics standards system. ［Findings］ The proposed publication ethics standards system for China's scientific journals consists of 3 ethical norm modules, 25 ethical norm themes, and 65 ethical norm elements. ［Conclusions］ This standards system can enhance the self-discipline of authors, editors, and reviewers and promote the integration of Chinese scientific journals into the global academic publishing and exchange system. It will keep pace with the times, expand dynamically, and contribute to the standardized construction and development of China's digital and intelligent research and publishing.

[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 aims to investigate the current application status of machine translation (MT) in the translation of medical paper abstracts, identify key issues, and explore effective collaborative pathways for MT. ［Methods］ We conducted a questionnaire survey to collect data from medical journal editors and authors regarding their awareness, usage behavior, and quality evaluation of MT. ［Findings］ Data are collected from 193 editors and 489 authors in this survey. Totally 93.66% of authors and 87.57% of editors use online MT for academic translation and have system preferences. 90.68% of editors accept MT as an auxiliary tool, and 75.65% consider that it has reduced their workload to a certain degree. 61.14% of editors and 44.58% of authors actively optimize the original text before using MT. 58.69% of authors state that they conduct post-editing, but only 29.02% of editors recognize that authors have done post-editing before submission. 51.12% of authors and 29.02% of editors are satisfied with the quality of abstracts after MT and author modifications. The quality of abstracts after editorial review is highly rated by 70.46% of editors and 42.74% of authors. ［Conclusions］ MT is widely adopted in the translation of medical paper abstracts, but differences exist in usage habits and quality evaluations. It is recommended to establish a collaborative pathway from authors to editors, cultivate the ability to use MT effectively, and promote the in-depth integration of MT into the publication of medical scientific journals, so as to improve translation quality and efficiency.

［Purposes］ This study aims to analyze the reasons for retraction and their heterogeneous characteristics at the levels of disciplines, scientific journals, and scientific research institutions, providing a reference basis for the governance of academic anomie. ［Methods］ We obtained the data of retracted papers from the Retraction Watch Database and the Web of Science Core Collection. In combination with the academic anomie theory, we refined and classified the reasons for retraction. We employed social network analysis to explore their correlation relationships and compared their heterogeneous characteristics at the levels of disciplines, scientific journals, and institutions. ［Findings］ Through the data analysis of 26182 retracted papers published from 2014 to 2023, it is found that the number of retractions shows a certain upward trend with time lag. Among them, engineering, oncology, and computer science have relatively large numbers of retractions, and open access scientific journals account for a relatively high proportion of retractions. Most authors are only involved in 1-2 retracted papers, and teams with 2-6 people have relatively high numbers of retractions. Errors and low reliability are the main reasons for paper retractions. Among improper behaviors, image duplication, author misconduct, and paper mills are the core issues. There are significant differences in the reasons for retraction among different disciplines, scientific journals, and institutions. ［Conclusions］ The governance mechanism for academic anomie should take into account the heterogeneity of disciplines, scientific journals, and institutions and require the joint participation of the state, scientific journals, institutions, and authors.

[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] 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 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 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] To explore how the high-quality development of scientific journals empowers the new quality productive forces, and provide theoretical support and practical guidance for scientific journals to promote the formation and development of new quality productive forces. [Methods] Combined with the methods of literature research, induction and logical analysis, the internal logic, practical dilemma and realization path of the high-quality development of scientific journals are comprehensively explored. [Findings] As the advanced form of the development of scientific journals, the high-quality development of science and technology periodicals plays an important driving role in the cultivation and forging of new quality productive forces by realizing the development needs of scientific and technological innovation, and helps to accelerate the cultivation and forging of new quality productive forces. However, China’s scientific journals are faced with a series of practical challenges, such as the dispersion of publishing mode and uneven resource distribution, the low supply rate and conversion rate of paper results, the insufficient supply of new high-quality workers and the lagging construction of the supervision mechanism of new business forms. [Conclusions] High-quality development of scientific journals is an important means to empower new quality productive forces, should optimize the development policy environment, improve the journal management mechanism, optimize the development of ecological environment, improve the journal management mechanism, strengthen the overall planning, attaches great importance to the academic platform construction, accelerate the journal industry development, crucial key core technology, integrate new quality talent resources, strengthen science and technology personnel support, so as to truly realize the strategic vision of high-quality development of scientific journals to empower new quality productive forces.

[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] To clarify the evolutionary game relationships among multiple stakeholders in the governance of predatory journals, reveal the behavioral logic and strategy choices of each stakeholder, and explore the optimal strategies for addressing the issue of predatory journals. [Methods] After analyzing the relationships between different stakeholders, a game theory model was constructed with journal editorial boards, regulatory agencies, and researchers as the main actors. The model aimed to solve for stable strategies, explore the strategic choices of these three parties, and simulate the evolutionary equilibrium strategies under different parameter changes. [Findings] The study found that the governance of predatory journals relies on positive interactions among the stakeholders. In the game, editorial boards occupy a more advantageous position, allowing them to quickly identify and adopt the most beneficial strategies, achieving a stable state of maximum benefit earlier. Due to inadequate regulation, over time, researchers, guided by the principle of maximizing their own interests, tend to choose a “passive” strategy. Because the cost of implementing “efficient” strategies is higher than that of “inefficient” strategies, journal editorial boards lack sufficient internal motivation to promote efficient operations, leading to a tendency toward “inefficient” strategies. As the channels for disseminating journal information become more diversified, the cost for researchers to obtain information decreases, prompting them to gradually evolve toward a “proactive” strategy. [Conclusions] Based on the results of the game analysis, the study proposes specific strategies for addressing predatory journals from the perspectives of journals, regulatory agencies, and researchers.

[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] 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.