ISSN：1001-7143 CN：11-2684/G3
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Purposes To conduct an in-depth analysis of the current status of generative artificial intelligence （AI） usage policy and regulation construction in information resources management journals both domestically and internationally， providing references and inspirations for the development of domestic information resources management journals. Methods Taking the journals in the field of information resources management （information science & library science） indexed by CSSCI and JCR （SCIE and SSCI） as the research samples， and based on the criterion of whether they have released policies on the use of generative AI， 61 journals were finally selected for analysis. The grounded theory method was employed to sort out and analyze the generative AI usage policies and regulations they have issued. Findings Most of the international journals in the field of information resources management belong to large international publishing groups， and their policies and regulations on the use of generative AI are basically systematic. In contrast， domestic journals in this field are still in the initial stage of formulating policies on the use of generative AI， lacking systematic and structured governance policies for generative AI. Conclusions Domestic journals in the field of information resources management should actively embrace the trend of generative AI application， fully leverage the strengths of all parties， and enhance their governance capabilities and effectiveness in generative AI. From a macro-strategic perspective， the development of the information resources management discipline and the governance concepts of related industry fields should be utilized to empower the governance of generative AI in field journals. From a micro-implementation perspective， each journal should formulate generative AI application policies that conform to the characteristics of the discipline， set up clear policy sections on their websites， clarify the norms and boundaries of generative AI usage， establish measures for handling violations， and retain the discretionary power of the journal.
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Purposes This paper discusses the process of negative chain effects caused by generative artificial intelligence （GenAI） in academic publishing， and explores the regulatory approach of GenAI based on the academic publishing scenario. Methods Based on the risk chain， this paper sorts out the formation process of negative chain effects， analyzes how the commercialization of AI intensifies negative chain reactions from the perspective of commercial interests， and then proposes regulatory approaches by matching risk characteristics with policies and regulations. Findings GenAI has formed four negative chain effects through 11 gradual stages： bad money driving out good money， a cycle of cognitive errors， rampant academic dishonesty， and amplified academic injustice. The commercialization of AI has intensified the negative chain reactions by solidifying the direction of academic production， reshaping the academic research evaluation system， and raising the economic barriers to academic publishing. Conclusions The regulatory approaches of GenAI need to pay attention to scenario adaptation， policy coordination and dynamic adjustment at the same time： first， risk level classification and responsibility allocation should be based on subject scenarios and publishing activity roles； second， effective connection between legal provisions and implementation details should be achieved in the fields of data governance and intellectual property rights； finally， a dynamic governance mechanism based on sandbox testing and triggered updates should be established.
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Purposes To explore the current status of ethical guidelines regarding artificial intelligence generated content （AIGC） on the official websites of Chinese medical journals， and propose strategies for improving the ethical review system of AIGC. Methods A total of 421 medical and health journals indexed in the World Journal Clout Index（WJCI）of Scientific and Technological Periodicals（2024） were included in the study. The official websites of these journals were reviewed to assess the ethical guidelines requirements regarding AIGC. Findings Among the 421 medical journals included in this study， only 100 （23.8%） had established specific ethical requirements for AIGC， highlighting a pervasive lack of awareness of ethics. There were significant differences in the ethical guidelines requirements for AIGC across journals with different publication languages， primary sponsors， and indexing databases （categories and quantities）. The development of ethics in Chinese-language journals is less developed than that of English-language journals. The statements regarding AIGC ethical guidelines in these journals are unclear in terms of scope definition， disclosure requirements， and authorship policies， indicating a lack of adequate attention to the establishment of ethical review systems for AIGC. Conclusions Chinese medical journals should enhance the supervision of AIGC ethical guidelines by implementing a trinity framework of “policy regulation + technical safeguards + accountability statements”， and bolstering editorial training， prioritizing official website development， thereby facilitating the establishment of comprehensive review systems for AIGC ethics.
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Purposes The purpose is to summarize experiences and lessons for the transformation and development of academic publishing institutions in China，through systematic and in-depth research into the business model transformation of the five major international academic publishing groups. Methods An integrated methodology combining SWOT analysis， case study research， and inductive summarization was systematically employed. Findings The five major international academic publishing groups actively participate in open access publishing， continuously integrate scientific research platforms and tools， collaboratively upgrade to knowledge solution providers， and proactively explore the deep integration of AI with high-quality resources， thereby seizing opportunities in the transformation of academic publishing， strengthening market influence， cultivating new revenue avenues， and developing emerging business segments. Conclusions China’s academic publishing institutions should seize the opportunity presented by the development of open access journals to actively merge into the transformation of open access scholarly ecosystem； strengthen business diversification to extend the academic publishing industry chain； integrate platforms as a key component to advance journal cluster development； and proactively explore the application of AI tools to extract the full potential value of academic resources.
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Purposes To conduct a comprehensive examination of the employment quality of the scientific journal editor group and propose effective measures to address employment changes accordingly. Methods This study adopts a dual macro-micro analytical framework. It collected and analyzed data from the “Human Resources” section of the China Scientific Journal Development Blue Book （2020—2024） and conducted a nationwide large-scale questionnaire survey and analyzed 1058 valid responses. Findings The findings reveal that the employment scale of scientific journal editors remains stable， with diverse post types， highly qualified practitioners， multifaceted career development pathways， and strong professional commitment， indicating overall favorable employment quality. However， potential risks in the internal labor market of the industry and the strong impact of generative AI technology have created certain obstacles to improving the employment quality of editors. Conclusions First， accelerate the innovation of AI application scenarios to empower the employment ecosystem of scientific journals； second， enhance the digital skills of editors and carry out categorized human capital investment； third， dynamically update occupational classifications and explore the layout of human-machine collaboration. These measures aim to promote the formation of an employment pattern in the entire scientific journal industry with efficient matching， sufficient opportunities， sound protection， and smooth mobility.
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Purposes To analyze the structural characteristics of papers from high-impact ophthalmology institutions in China， providing empirical evidence for formulating development strategies for Chinese-language medical journals. Methods High-impact ophthalmology institutions in China were identified based on the SCIE database， and their domestic influence was verified using the Chinese Hospital Specialty Reputation Rankings. Comparative analysis was conducted on publication trends of these institutions in Chinese/English-language ophthalmology journals across indexed databases from 2010 to 2024. Findings The overall output of ophthalmology research papers in China remained relatively stable， but a severe outflow was observed： the number of papers published in SCIE journals increased annually， while both the total number of papers and the average number of papers per Chinese-language journals showed a downward trend. High-impact institutions continued to expand their research output， yet their papers in Chinese-language journals gradually decreased； however， their proportion in the total papers of Chinese-language journals showed an upward trend. These characteristics were more prominent in Chinese core journals. Conclusions The outflow of ophthalmology research papers in China continues to intensify， with the shrinking speed of Chinese-language journals in paper quantity exceeding the rate of source loss from high-impact institutions. To address this， it is necessary to strengthen policy implementation supervision， reconstruct the journal evaluation system， build independent data platforms， and guide journals to return to their original mission of serving domestic needs.
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Purposes In order to fundamentally prevent academic misconduct before it forms， a pre-positioned， systematic and intelligent graded risk early warning system of academic misconduct is constructed based on digital intelligence technology and subject cross-linking. Methods The cognitions and requirements of academic researchers， publishing institutions， regulatory authorities， etc. on academic misconduct governance are collected by applying interview method； the practical progress of early warning of academic misconduct is understood through online retrievals and telephone surveys， etc.； the key factors of early warning of academic misconduct are identified by applying Delphi method to collect expert opinions； and the graded risk early warning system of academic misconduct is constructed and the implementation mechanism is analyzed by applying logical analysis method. Findings The graded risk early warning system of academic misconduct is designed innovatively， and the early warning index of risk of academic misconduct （RAM） is constructed to measure the likelihood of academic misconduct. Based on three main subsystems of data collection， analysis and judgment， and real-time warning， the process warning， negative warning， and interactive warning can be achieved through cross-platform adaptive embedded modules. Hence， the budding academic misconduct activities can be avoided collaboratedly facing the various aspects of academic research， the entire process of academic publishing， and the multi field of academic ecosystem. Conclusions The graded risk early warning system of academic misconduct is a pioneering research and prospective exploration that shifts the prevention threshold forward of academic misconduct， which can promote the fundamental transformation of academic misconduct governance from post punishment to pre prevention， so as to effectively maintain academic integrity， and ensure the healthy development of academic research.
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Purposes The purpose of this paper is to explore the effect of implementing open research data policies on the enhancement of journal academic influence from a quantitative perspective， thereby promoting the continuous improvement of journal academic impact and providing a theoretical basis and decision-making reference for journals in formulating related open research data policies. Methods The study focuses on Chinese journals indexed in the Chinese Science Citation Database （CSCD）. It first investigates the implementation status of open research data policies in these journals. Then， the difference-in-differences （DID） method is used to assess the policy effects of open research data on the academic influence of journals. Various robustness tests and heterogeneity analyses are conducted to further validate the reliability of the results. Findings The implementation of open research data policies significantly enhances the academic influence of journals， with policy effects showing significant heterogeneity across journals with different attributes. Conclusions By formulating and implementing open research data policies， journals can not only improve the transparency and reliability of research papers but also enhance their academic reputation， thereby expanding their academic influence and societal impact.
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Purposes To standardize academic publishing and accelerate the dissemination of preprints， and to standardize the citation format of preprints. Methods Conduct online research to sort out the citation formats of journal articles and preprint platforms， and compare and analyze the standards related to preprint citation at home and abroad. Findings The survey found that the citation format of preprints in scientific journal articles is not consistent with the recommendations of preprint platforms， and there is an urgent need to standardize the citation format of preprints. Conclusions Preprints should be included as an independent literature type in the existing reference citation standards. The citation elements should fully reflect the characteristics of preprint resources， adopt existing international standard formats， and be arranged in accordance with reference citation standards.
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Purposes By analyzing the current status of clustered development， exploring the path of intensification， this study aims to address the issues of dispersion and homogeneity of Chinese scientific journals， providing references for the top-level design， large-scale development， and personalized construction of Chinese scientific journal clusters， and enhancing the brand influence and resource integration capabilities of building world-class scientific journals. Methods Using the questionnaire survey method， based on the data of 63 domestic scientific journal clusters， the characteristics of the establishment stage， the type of operating units and sources of funds， the scale and language distribution of journals， the operation and management model， academic influence， exploration of academic services， international cooperation， and the construction of digital publishing and new media platforms of the clusters were summarized and analyzed. Findings The challenges faced during the development process were summarized， such as clustering without intensification， lagging digital publishing platform construction， unclear talent team structure and training models， single financing channels， and unclear business models， and development suggestions were provided. Conclusions The clustered development of Chinese scientific journals has achieved remarkable results， with accelerated improvement in scale and quality. However， structural problems such as regional and disciplinary imbalances are prominent， which require further discussion among peers.
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Purposes Based on the theory of multimodal discourse analysis， this study explores the communication strategies of Chinese English-language scientific journals on international social media platforms. It analyzes the presentation forms， construction logic， and dissemination mechanisms of their multimodal discourse， aiming to provide theoretical support and practical reference for enhancing the international communication power of these journals. Methods Using Python， 120 top-liked posts （top 60 each） from X and Facebook during January 1-31， 2024 were collected. Content analysis and multimodal discourse analysis were applied in combination. Findings In the visual modality， research outcome–oriented content accounted for the largest proportion， with the most common format being “text + image”. In the textual modality， declarative sentences and specialized terminology were frequently used to ensure academic precision. Conclusions At the cultural level， it is essential to promote the integration of “technology and culture” to enhance visual communication efficacy. At the contextual level， strategies should be tailored to different media platforms to strengthen issue responsiveness. Regarding content， a multimodal collaborative dissemination matrix should be constructed. In terms of expression， optimizing the linguistic system and establishing a unified visual identity system are crucial.
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Purposes To analysis development of scientific journal clusters and digital journal group publishing platform and propose a clear direction for future endeavors. Methods Adopting literature and data research methods， to search and collect relevant research results and materials to sort out the related policies as well as beneficial measures for the practice exploration of scientific journal clusters and digital journal group publishing platform， and its character during nearly 20 years. Findings Since the beginning of this century， with the promote of the policy of enterprise system reform and publishing digital transformation as well as the financed with the fund of such as China Science and Technology Journal Excellence Action Plan， a series of professional journal clusters of scientific journals（such as Beijing Zhuozhong Publishing Co.， Ltd，Optics Journal Union and Chinese Medical Association） and its digital publishing platform greatly developed. In addition， comprehensive scientific journals clusters digital publishing platform（such as SciEngine， SciOpen） have been self-construction independently. And all these will be helpful to the future with continuously developing and improving in these years. Conclusions A series of scientific journal clusters and digital journal group publishing platform have been built in these years and should further improve in following years.
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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.
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Purposes This study aims to analyze the characteristics of Chinese scientific journals indexed in the Emerging Sources Citation Index （ESCI）， which is expected to serve as a reference for improving the international dissemination of Chinese scientific journals. Methods Multivariate statistical， data analysis were used to study the 14 ESCI-indexed Chinese scientific journals. To be specific， data on the basic journal information， English content presentation， international topic selection， and citation index were collected. Findings Through improving the English-language websites and metadata presentation， achieving indexing in multiple international databases， 14 journals have initially established an international dissemination system. However， they still face challenges in terms of global academic impact， such as high self-citation rate， a significant proportion of zero citation papers， and low discipline ranking. Conclusions On the premise of a clear orientation， Chinese scientific journals should made appropriate strategies. Journals with a certain level of international visibility should focus on international topic selection and international academic activities， increase publication and provide bilingual publishing when necessary. Journals lacking international visibility should strengthen English content presentation， join cluster platform， and apply for index by international databases.
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Purposes By reviewing the current research status of academic journal evaluation in China from 2014 to 2025， this paper explores the focus content， development status， and existing problems of academic journal evaluation research in China. Based on this， scientific and reasonable development suggestions are proposed to promote the smooth development of academic journal evaluation work in China. Methods The Citespace quantitative analysis tool was mainly used to conduct bibliometric analysis on the research papers on journal evaluation published in CSSCI core journals from 2014 to 2025， and to explore the current status of journal evaluation research. Findings The study found that research on journal evaluation in China from 2014 to 2025 has entered a period of rapid development， with authors and institutions exhibiting clustered development characteristics. Keywords such as “journal evaluation” “academic journals” and “impact factors” have become the focus of research. The core content of the research mainly focuses on the study of journal evaluation methods， evaluation index research， evaluation system construction， and rational reflection on journal evaluation work. Conclusions In order to better promote the evaluation of academic journals in China， on the one hand， it is necessary to continuously improve the multi-dimensional comprehensive evaluation system and construct a flexible evaluation mechanism that integrates layers and disciplines； On the other hand， it is necessary to establish a scientific evaluation system that is in line with Chinese characteristics and recognized by the international community， actively promote the implementation of research results in journal evaluation in China， and contribute to the high-quality development of academic journals.
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Purposes To explore the dynamic changes in the distribution of authors' countries and regions in Chinese social science journals included by SSCI from 2020 to 2024， and to provide reference data for enhancing the international development of Chinese journals included by SSCI. Methods Using the InCites database， we collected metrics and publication information for all papers published in Chinese SSCI-included journals from 2020 to 2024. We further compared the number of papers published and the average citations per paper from different countries and regions in 15 Chinese SSCI journals from 2020 to 2024. Findings From 2020 to 2024， there were significant differences in the number of papers published and the proportion of international collaboration papers （11.85%～47.80%） among the 15 SSCI-included journals in China. From 2020 to 2024， scholars from 97 countries and regions published academic papers in China’s 15 SSCI-included journals. Among them， Chinese scholars contributed the most papers to China’s SSCI-included journals， with their contribution rate increasing year by year， but their average citations per paper were below the overall average. Excluding China， American scholars have the highest contribution to China’s SSCI-included journals， but their share of publications has been decreasing year by year； scholars from W7 countries have seen a steady increase in the number of publications and the highest average citations per paper. In all papers published annually from 2020 to 2024， the number of publications and contribution of foreign authors in China’s SSCI-included journals have shown a decreasing trend year by year. Conclusions In the future， Chinese journals included in the SSCI should actively seek out high-quality papers from renowned scholars in the field of social sciences abroad， while ensuring a steady supply of high-quality domestic manuscripts. They should also participate in international academic conferences to enhance their visibility and attract submissions from foreign scholars. These efforts will promote the high-quality development and internationalisation of Chinese journals included in the SSCI.