Purposes To enhance the value of retraction records in science and technology ethics risk identification and case-based learning， this study constructs a science and technology ethics reference learning repository and evaluates its effectiveness from the perspectives of the reliability of retraction case parsing and user acceptance. Methods Based on ontological thinking， combined with policy and regulatory review and analysis of retraction statements， a classification framework comprising 6 categories of retraction reasons and 20 misconduct features was established. Retraction records were collected from Crossref， and DeepSeek was used for semantic parsing and classification. Policy， regulatory， and other related resources were integrated to form a resource center. Manual annotation was used to verify the reliability of model parsing， and a questionnaire survey based on the Technology Acceptance Model was conducted among 100 editors of scientific and technical journals. Findings The reference learning repository structured and classified 2403 science and technology ethics-related retraction cases. The F1 values for identifying retraction reasons and misconduct features were 93.86% and 90.41%， respectively， and the positive feedback rates for the core items across all questionnaire dimensions reached 86% or higher. Conclusions The reference learning repository can support scientific and technical journals in science and technology ethics risk identification， risk management， and risk prevention learning.

Purposes Using the governance instrument mix as the analytical framework， this study quantitatively examines the transparency output and executability of generative AI governance among Chinese academic journals. It further assesses the gap between journal-side governance expectations and authors’ disclosure practices， with the aim of providing empirical evidence for improving the implementation of generative AI policies in academic publishing. Methods On the governance side， AI-related policy texts from Chinese academic journals were segmented into meaning units and coded to construct and normalize the transparency output index （TOI） and executability index （EI）. A policy visibility index was also introduced to measure the accessibility of governance texts to authors. On the author side， a survey with embedded vignette experiments was used to compare the effects of penalty clarity and policy visibility on authors’ disclosure intentions. Findings Governance-side indicators show that 62% of journals have a positive gap index （Gap > 0； mean=0.133）， suggesting that transparency output generally exceeds executability. The vignette experiments further show that explicit penalty consequences significantly increase authors’ disclosure intentions （OR≈2.05， p=0.020）， whereas improving policy visibility alone has no significant effect （OR≈0.80， p=0.505）. Conclusions The findings suggest that generative AI governance should be strengthened from the peer-review workflow by clarifying the responsibilities of editors， reviewers， and other relevant actors. Journals should embed a minimum set of disclosure items into mandatory submission-system fields， covering tool identification， use context， and human verification， supported by audit mechanisms and tiered response rules. At the industry level， coordinated efforts are needed to develop standardized disclosure templates， system modules， training programs， and dispute-resolution mechanisms.

Purposes To explore the boundaries of artificial intelligence （AI） use in domestic and international core academic journals， clarify the appropriate scope of AI applications across major publishing stages， and provide references for improving a scientific and standardized AI governance framework for scholarly publishing. Methods Using literature review， web-based investigation， and content analysis， this study collected and analyzed 52 AI policies issued by domestic and international multidisciplinary academic journals. The policies were examined from the perspectives of core responsibilities， specific application scenarios， disclosure requirements， and governance mechanisms. Findings Domestic and international academic journals have reached broad consensus on fundamental governance principles. The use of AI demonstrates clear scenario-specific characteristics： AI-assisted writing is relatively open， while AI applications in image and data processing are subject to stricter regulation， and the use of AI in peer review is generally restricted or prohibited. International journals tend to provide more detailed operational guidelines， although challenges remain regarding copyright attribution and sanction mechanisms. Domestic journals establish governance boundaries primarily through strengthened accountability requirements， yet further improvements are needed in collaborative governance， policy updating， disclosure refinement， and the diversification of technical governance measures. Conclusions The AI governance framework for scholarly publishing can be further enhanced through four dimensions： coordinated standards， clear allocation of responsibilities， transparent disclosure， and effective human–AI collaboration. Such efforts will contribute to a governance system characterized by clear accountability， transparent processes， traceability， and responsible oversight， thereby promoting the standardized and sustainable application of AI in scholarly publishing.

Purposes Taking authority leadership and problem orientation as the entry point， this paper examines and reflects on the development of sports academic journals and the sinicization of kinesiology disciplines in the new era， so as to provide theoretical references and practical approaches for advancing the high-quality development of sports academic journals and facilitating the sinicization of kinesiology. Methods From the perspective of an editor， this study combines theoretical analysis with case evidence to analyze the phenomena and deep-seated problems existing in the peer review of sports academic journals. Findings The research shows that the phenomenon of authoritative guidance in the review of sports academic journal papers is closely related to the social context. In the diachronic development of Chinese sports studies， expert authority has been continuously generated and strengthened along with the interaction of “knowledge-power”， the differentiation of knowledge fields， and the construction of academic communities. Although the intervention of authority helps sports academic journals and the discipline gain recognition in the academic network， it also restricts the innovation of disciplinary knowledge due to excessive reliance. Specifically， it is manifested as： rigid questioning inhibits disciplinary innovation， scarce questioning restricts disciplinary dialogue， and subjective questioning weakens disciplinary vitality. Conclusions In the face of the above predicaments， it is necessary to fully recognize the importance of “problem orientation” and avoid absolute authoritative guidance. This can be achieved by shaping a new order of subject review to create an atmosphere of academic debate； constructing a new space for subject review to optimize the public academic platform； and improving the new system of subject review to reconstruct the academic evaluation ecosystem.

Purposes As an emerging medium for scholarly information dissemination， video abstracts provide a potential new pathway for enhancing the communication capacity of scientific journals in China. This study aims to systematically examine the theoretical construction and practical development of video abstracts. Methods Using a narrative literature review approach， this study systematically reviews Chinese and English literature and related materials published between 2000 and 2025. On the basis of conceptual clarification， the study summarizes and analyzes existing research from five dimensions： content expression， production and generation， dissemination channels， effect evaluation， and audience interaction. Findings Video abstracts exhibit dual attributes of academic rigor and media communication. Current research and practice concerning their production， content construction， and audience analysis vary across countries and disciplines. International practices have shown a trend toward standardization， whereas domestic practices remain largely exploratory. Conclusions The academic and media attributes of video abstracts， together with the application of AI-assisted production， are likely to exert a certain influence on scholarly information dissemination.

Purposes This paper aims to reveal the formation mechanisms and evolutionary pathways of homogenization in Chinese scientific journals driven by peer effect， explore solutions to the homogenization crisis， and provide theoretical references and practical insights for Chinese scientific journals to overcome homogenization and achieve high-quality development. Methods Drawing on peer effect theory from organizational sociology and behavioral economics， and following the logical chain of “drivers-process-impacts-solutions”， this paper systematically explains how peer effect drives scientific journals to shift from distinctiveness to standardization and subsequently trigger a homogenization crisis. Findings Four mechanisms of uncertainty in journal management， the journal evaluation system， legitimacy pressures， and social comparison， collectively drive mutual imitation among journals. This imitative behavior gradually moves journals from their traditional distinctive models toward standardized convergence， forming a self-reinforcing cycle after a critical threshold. Homogenization leads to consequences such as diminished academic ecological diversity， implicit loss of innovation capacity， erosion of journal core competitiveness， and misallocation of academic resources. Conclusions Resolving homogenization in scientific journals requires coordinated efforts across four levels： cognition， evaluation， institutions， and the industry. These include reconstructing reference frames at the cognitive level， promoting diversified evaluation at the evaluative level， empowering differentiation through institutional arrangements， and fostering collective self-reflection within the industry.

Purposes This paper aims to solve the dilemma of fairness and sustainability derived from the article processing charge （APC） in the development of open access （OA）， provide theoretical reference and practical guidance for promoting the high-quality development of academic publishing and purifying academic ecology， and promote the optimization of the academic publishing governance system and the healthy development of the open science movement. Methods This paper uses the review method to systematically comb the development process of OA and APC， discusses the derivative problems of APC and their core contradiction in the OA model， and proposes comprehensive management strategies. Findings With the in-depth promotion of OA in the field of academic dissemination， its core supporting mechanism， APC， has revealed a series of key issues： the continuous rise of APC has restricted the healthy development of OA， leading to derivative problems such as the increased pressure on research funding， unfair access to academic resources， and the proliferation of predatory journals （PJ）. These problems have significantly affected the order of academic publishing and the health of the research ecosystem. The core contradiction lies in the new conflict between public service objectives and business logic under the transformation of cost burden mechanism. Conclusions To effectively govern the related issues of APC， it is necessary to construct multi-dimensional regulation strategies and alternative methods for APC； promote collaborative governance of publishing market structure， academic evaluation， and research funding allocation； and curb the expansion trend of predatory journals under the APC model.

Purposes This paper explores how scientific journals can empower discipline development through publishing practices to serve national strategic needs， against the backdrop of constructing China’s independent knowledge system. Methods Using a case study approach， it systematically reviews the innovative practices of Research in Astronomy and Astrophysics （RAA） in leveraging major domestic scientific facilities， adhering to scientist-run journal management， balancing internationalization with autonomy， and leading disciplinary development. A tripartite analytical framework of “journal-discipline-knowledge system” is constructed. Findings The study finds that through measures such as establishing a virtuous cycle of “facility-achievement-journal”， granting researchers academic voice， pursuing asymmetric and transcendent internationalization strategies， and fostering an astronomical academic community， RAA has achieved dual improvements in international influence and disciplinary service capability. Three synergistic mechanisms have emerged： major achievement-driven traction， academic community cohesion， and localization-internationalization balance. Conclusions Scientific journals should leverage local research strengths to define their positioning， advance synergistically with discipline development， and transform from mere results publishers to constructors of knowledge systems. Additionally， it recommends optimizing research evaluation systems， increasing policy support， thereby providing practical references and pathways for the high-quality development of scientific journals and the construction of China’s independent knowledge system.

Purposes This paper deeply explores “CASTScholar” of the China Association for Science and Technology （CAST） construction practice and development ideas， so as to provide references for the in-depth digital transformation and cluster development of China’s scientific and technological journals. Methods Taking the “Academic Science and Technology Association” platform （CASTScholar） of the CAST as a case study， it systematically analyzes the platform’s design concept， summarizes its achievements， examines practical challenges， and proposes future development directions. Findings Built upon the “Smart CAST 2.1” technical framework， the CASTScholar platform follows the overall layout of “One Cluster， Two Platforms， and Three Services.” It has established the CAST scientific journal cluster （“One Cluster”）， the digital publishing service platform for scientific journals and the intelligent data service platform （“Two Platforms”）， and is advancing the development of services for scientific evaluation， dissemination and promotion of innovative achievements， and academic integrity （“Three Services”）. The platform currently faces multiple practical challenges. In the future， it should pursue knowledge innovation services， promote deep integration of artificial intelligence into the entire publishing process， build an independent and controllable open science service ecosystem， develop an excellence-oriented academic innovation evaluation system， and establish a full-process integrity service system. Conclusions As an autonomous and controllable academic infrastructure， the “CASTScholar” platform of the CAST not only provides a reference for the in-depth digital transformation and cluster development of China's scientific journals， but also lays the groundwork for serving a high level of scientific and technological self-reliance and strength.

Purposes In response to the strategic call to cultivate world-class scientific journals and build new-type think tanks with Chinese characteristics， this study explores the pathways and mechanisms for think tank journals and their sponsoring think tanks under the same legal entity to transition from formal coexistence to substantive collaboration， thereby providing a theoretical basis and practical reference for similar institutions to promote the coordinated development of journals and think tanks. Methods This study builds a typological analytical framework based on five dimensions： strategic collaboration， content collaboration， communication collaboration， organizational collaboration， and evaluation collaboration. Using multiple-case comparison， it identifies representative collaborative pathways and pinpoints the core synergy mechanisms operating within them. Findings Analysis of the four case groups reveals three distinct patterns of collaborative pathways： top-down driven， organizational integration， and platform collaboration. Drawing from these patterns， 13 core sub-mechanisms are further extracted. Conclusions The synergy between think tank journals and their sponsoring think tanks represents a systematic effort that runs from strategy formulation all the way through performance evaluation. These three pathways correspond to varying resource endowments， development stages， and institutional hierarchies among sponsoring institutions. As such， they offer practical early examples for moving journals and think tanks beyond formal coexistence under the same legal entity and toward genuinely symbiotic development.

Purposes To explore the operational mechanism by which generative AI short videos achieve the synergy between understandability and trustworthiness in popular science communication of knowledge in academic generative A. Methods Focusing on research outcomes with potential for science translation in fields such as medicine， life sciences， and agricultural science， this paper introduces translation theory and constructs a “cognitive-emotional dual translation” model. Through typical case analyses， it examines the knowledge transfer process and fidelity logic of generative AI short videos. Findings Popular science communication by generative A is essentially a cross-field translation process of scholarly knowledge from the professional domain to the public domain. The first translation converts academic logic into narrative logic； the second translation converts narrative texts into multimodal perceptual experiences. Human-AI collaboration runs through the entire process of script generation， audiovisual synthesis， verification， and feedback optimization. The input， process， output， and feedback together form a knowledge fidelity framework that can mitigate risks of AI hallucination and semantic drift to some extent. Conclusions Achieving synergy between the effectiveness of popular science communication and knowledge authenticity requires establishing a human-AI collaborative mechanism based on the dual translation model， along with a full-process fidelity assurance system.

Purposes To address the three major challenges faced by medical journals in popular science communication， namely， the ambiguity of audience stratification， the rough transformation of content， and the improper allocation of channels， and to explore the establishment of an efficient popular science communication model. Methods By drawing on the core theoretical ideas of communication studies and systems science， a three-dimensional collaborative model of “Audience-Content-Channel” was constructed. A corresponding implementation path was proposed， and practical application was carried out using the World Journal of Pediatrics as a case study. Findings Through the systematic implementation of strategies such as multi-dimensional segmentation and profiling of communication audiences， adaptive production and translation of communication content， and diversified construction and allocation of communication channels， the audience participation in the journal’s popular science activities， the audience attention to academic achievements， and the industry recognition of the journal brand have all been significantly enhanced， verifying the operability and effectiveness of the three-dimensional collaborative model. Conclusions The three challenges faced by medical journals in popular science communication are not isolated from each other. The three-dimensional collaborative model， through the dynamic adaptation and systematic collaboration of audiences， content， and channels， provides a feasible path to solve these challenges and can serve as a reference for other journals in the industry to carry out popular science communication.

Purposes This study systematically analyzes the publication status and academic influence of Chinese English-language scientific journals， summarizes their development achievements and identifies existing problems， so as to provide reference for advancing the construction of world-class scientific journals. Methods Taking 558 Chinese English-language scientific journals listed in the Chinese English S&T Journal Citation Reports 2025 as the research object， this study adopts bibliometric methods to analyze the publication status from four dimensions： publication volume， publication frequency， sponsoring institutions， and disciplinary distribution， and to analyze academic influence from four dimensions： coverage by international indexing systems， JCR impact indicators， Scopus impact indicators， and citable items. Findings The number of Chinese English-language scientific journals has grown significantly since 2010， Publication frequency is dominated by quarterly and bimonthly journals， and sponsoring institutions are mainly universities and research institutes. Disciplinary distribution exhibits a “long-tail structure”， with a small number of disciplines concentrating more than half of the journals， while 31 JCR disciplines in the natural sciences and engineering fields have no English-language journal coverage. Over 85 percent of the journals have been included in major international indexing systems. JCR and Scopus impact indicators have continuously improved， initially forming a development pattern featuring Q1 journals as the leading force， Q2 journals as the supporting tier， and Q3 and Q4 journals gradually shrinking. However， Citable items has not increased synchronously with impact indicators. Conclusions Chinese English-language scientific journals have achieved rapid improvements in both quantity and impact indicators， yet shortcomings remain in terms of publication frequency， disciplinary distribution， and citable items.

Purposes This study aims to systematically reveal the dissemination structure and diffusion mechanisms of journals funded by the China Sci-Tech Journal Excellence Action Plan on X（Twitter）， thereby providing a deeper understanding of the international communication performance of Chinese scholarly outputs published in English. Methods Twitter-based mentions of scholarly publications were collected and analyzed. Drawing upon the U.S. standard occupational classification （SOC） system， a semi-supervised machine learning model （MixText） was employed to conduct fine-grained user classification. On this basis， a user-level diffusion network was constructed. Network centrality measures， including degree centrality， betweenness centrality， and closeness centrality， together with structural diffusion indicators such as diffusion breadth， diffusion depth， and cascade virality， were integrated to examine the structural characteristics of different user groups and their respective roles in the diffusion process. Findings The international diffusion of China’s English scholarly outputs has evolved into a multi-actor， collaborative core–periphery structure. While academic communities occupy the core position， the bridging role of non-academic users in international dissemination warrants greater attention. Heterogeneous diffusion across diverse academic sub-communities facilitates the outward extension of scholarly communication to broader social audiences. Conclusions To enhance both international communication capacity and academic influence， China’s English academic journals should not only consolidate core scholarly networks but also actively guide and encourage the participation of diverse user groups. In particular， for topics with high societal relevance and global salience， differentiated social media dissemination strategies should be implemented to strengthen the embedding of research outputs within international public discourse.

Purposes To develop a method for evaluating journal representative works based on augmented citation data， thereby providing a new approach to assessing the recognition of such articles within the academic community. Methods This study elucidates the construction logic of augmented citation data， proposes a method for evaluating journal representative works based primarily on peer review information from the academic community. Taking papers published in high-impact journals in the field of Information Resource Management as the analysis subjects， the study uses typical case studies to thoroughly examine the scope of the influence and recognition of journal representative articles within the academic community， thereby validating the effectiveness of the evaluation method. Findings Based on the augmented citation data， it is evident that the subject of analysis has gained relatively broad recognition within the academic community across disciplines， journals， institutions， and scholars， and that the specialized terminology it has introduced has driven the development of specific fields. Conclusions This method fully harnesses the semantic linkages inherent in augmented citation data to enable multidimensional mapping and association analysis across complex dimensions， thereby providing a powerful tool for assessing the academic leadership and knowledge validation effectiveness of academic journals.

Purposes This study examines the differences between Chinese and foreign papers published in English-language medical journals supported by the Excellence Action Plan of China’s STM Journals in terms of disruptive innovation and academic impact， thereby providing paper-level empirical evidence for optimizing the manuscript structure and quality evaluation of China’s English-language medical journals. Methods Using a sample of 2280 papers published in 2019 by 43 English-language medical journals selected for Phase I and Phase II of the Excellence Action Plan of China’s STM Journals， an OLS model with journal fixed effects is adopted to evaluate the differences in academic performance between Chinese and foreign papers from the two dimensions of disruptive innovation and academic impact. Robustness is verified by replacing the dependent variables， conducting the Oster test， and performing placebo tests. Quantile regression is further employed to examine the heterogeneous characteristics of the nationality effect. Findings In terms of disruptive innovation， no significant difference is found between Chinese and foreign papers， and this conclusion remains robust across all quantiles. With regard to academic impact， Chinese papers outperform foreign papers overall at a statistically significant level； however， this advantage is primarily concentrated among low-impact papers and becomes non-significant among medium- and high-impact papers. Conclusions English-language medical journals supported by the Excellence Action Plan of China’s STM Journals have played a positive role in disseminating and showcasing domestic medical research. However， the quality advantage of their manuscript pool is manifested more in the elevation of baseline impact than in the concentration of medium- and high-impact papers or breakthroughs in disruptive innovation. These journals should intensify efforts to attract high-quality international submissions， optimize the manuscript structure， guide domestic scholars to elevate the impact level of their research， and facilitate the shift of the manuscript pool from a numerical advantage to a quality advantage.