中文

Purposes This study aims to explore the interaction between scientific journals and disciplines, specifically essential science indicators (ESI) subject categories and China’s Ministry of Education’s first-class disciplines. It seeks to provide references for the deep integration of university discipline development and journal advancement within the context of the “Double First-Class”initiative. Methods The research objects were English-language single-journal titles from the second phase of the “Excellence Action Plan for China’s STM Journals” sponsored by Chinese universities. Using the ESI and InCites databases, the study investigated the alignment between the journals’subject coverage and the specified disciplines, as well as the journals’contribution to these disciplines in terms of publication output and citation impact. Findings The subject coverage of the journals exhibited a “dominance of engineering disciplines”, with journals in materials science and engineering constituting the highest proportion. The mean contribution of these journals to publication output and citations for first-class disciplines (4% and 5%, respectively) was higher than their mean contribution to ESI disciplines (2% and 2.5%, respectively), indicating a stronger supportive role for the domestic discipline system. For most sponsoring universities, the category normalized citation impact (CNCI) of papers published in their sponsored journals was higher than both the overall CNCI of the university in that discipline and the journal’s own overall CNCI. This suggests that the journals have successfully attracted high-quality research output from their host institutions. Conclusions University-sponsored English journals play a significant role in supporting the development of first-class disciplines. However, challenges remain, including an uneven distribution of subject coverage and a relative shortage of journals in basic sciences. Recommendations are proposed to promote cluster-based development of university journals, strengthen the synergistic ecosystem between disciplines and journals, and optimize journal layouts to fill disciplinary gaps. These measures aim to achieve comprehensive improvement in resource integration, academic dissemination, and international influence within the “Double First-Class” construction framework.
Purposes This paper aims to provide guidance on optimizing the peer review process in cross-disciplinary journals. Methods This research uses a case study and comparative analysis to examine the optimisation of the review process for the Industrial Engineering Journal. It investigates the introduction of a pre-review mechanism by area editors, establishing a four-stage process involving “editorial preliminary screening, area editor pre-review, double-blind expert review and editor-in-chief final review”, along with a supporting quality control system. The effectiveness of this mechanism is validated by comparing its key performance indicators, such as average review cycle times. Findings This novel process has established a professional team of area editors and clarified their responsibilities for providing professional assessments, evaluating manuscripts’ innovative value, and suggesting appropriate reviewers. Additionally, the journal has implemented a quality control system incorporating timeliness management, standardized feedback, and performance evaluation. Consequently, the average review cycle has decreased from 149 days to 68 days. Conclusions In practice, the area editor pre-review mechanism has proven to be efficient. The process has been developed to balance review efficiency, academic quality, and fairness, thus offering a replicable model for optimizing the review process of interdisciplinary journals.
Purposes To explore the role of medical science and technology journals in the construction of chronic disease disciplines and the transformation of research results. The ultimate goal is to achieve a virtuous cycle of collaboration among disciplines, clinical practice, industry, and journals, that is, to ensure the healthy development of disciplines, improve clinical diagnosis and treatment levels, accelerate industrial innovation, and at the same time, enable journals to complete their role transformation in this process. Methods Taking the practice of Chronic Diseases and Translational Medicine as an example, feasible solutions are introduced from the aspects of serving disciplinary construction and promoting technology transfer. Findings The construction path of medical science and technology journal services for disciplines is to take interdisciplinary communication platforms and talent cultivation as fulcrums, and through the collaboration of industry, academia, and research columns as well as the feedback loop of effects, ultimately promote the transformation of scientific research achievements. Conclusions Medical science journals can effectively serve disciplinary construction and promote technology transfer by providing platforms for displaying cutting-edge research findings in diseases, facilitating academic exchanges and cooperation, guiding research directions, and offering theoretical support and practical guidance for technology transfer. This accelerates the process of translating theoretical research into practical applications in the diagnosis and treatment of chronic diseases.
Purposes This study aims to systematically identify the specific ethical risks faced by scientific journals in the process of content popularization, particularly in the context of new technologies such as artificial intelligence, and to explore the implementation pathways and practical framework for their social responsibility. Methods Adopting normative policy analysis and framework construction methods, this study draws upon the theory of the information dissemination life cycle to identify ethical tensions across multiple dimensions, including the delineation of rights and responsibilities, content production, dissemination process, and social impact. Furthermore, by introducing artificial intelligence as a key technological variable, it utilizes techno-ethical analysis to examine how artificial intelligence (AI) amplifies existing risks and creates new dilemmas. Finally, drawing from the functional positioning of scientific journals within the national development strategy, it proposes a reconstruction path for their social responsibility. Findings This study reveals the specific ethical risks faced by scientific journals in the process of science popularization and the catalytic role of AI in this context. It argues that the social responsibility of scientific journals should be expanded and deepened, transforming them into: an enabler within the broader science education ecosystem, a facilitator for the societal application and secure transfer of scientific and technological achievements, and a guide for the ethics of key scientific and technological issues. The paper proposes a systematic practical framework for fulfilling this social responsibility by strengthening the ethical construction of the journals themselves, establishing risk prevention mechanisms, and creating norms for the application of AI, all of which is supported by multi-entity collaboration and multi-level governance. Conclusions Scientific journals should proactively undertake ethical considerations and social responsibility reconstruction, enhance their primary accountability and risk prevention capabilities, and ensure the high-quality, responsible dissemination of scientific knowledge, thereby better serving the national development strategy.
Purposes To establish a comprehensive digital intelligence platform covering the entire workflow, enhance the publication quality and academic influence of the Journal of Beijing University of Posts and Telecommunications, and drive the journal’s digital transformation and ecological restructuring. Methods Based on the practical experience of the Journal of Beijing University of Posts and Telecommunications, this study centers on seven core dimensions—"author-reader-editor-reviewer-article-research-popularization" as the core, we developed seven major systems. By integrating advanced technologies such as data visualization, multimodal fusion, blockchain-based evidence storage, natural language processing, artificial neural networks, embodied intelligent interaction, multi-agent collaboration, machine learning-driven algorithms, and ultra-long video generation, we achieved automated and intelligent control across the entire chain: "creation-review-processing-output-audience-dissemination-evaluation". Findings Utilizing this platform reduced review cycles by 30%, lowered editorial error rates by 25%, increased academic misconduct detection to 98%, and decreased innovation assessment errors by 15%. This significantly enhanced publishing efficiency and content quality, forming a collaborative ecosystem of "data-driven decision-making and dynamic optimization". Conclusions This digital-intelligence platform not only provides the Journal of Beijing University of Posts and Telecommunications with an end-to-end intelligent solution but also offers a replicable model for the transformation and upgrading of China’s scientific journals. It provides crucial theoretical and practical support for cultivating world-class journals.
Purposes To systematically evaluate the effectiveness of large language models (LLMs) in editing English abstracts for medical journals and to distill actionable editorial workflow guidance. Methods We selected 100 paired Chinese-English abstracts from 11 representative medical journals and established a five-dimensional evaluation framework (terminology, grammar, conventions, expression, and logic). We compared the automatic error-detection performance of three LLMs, followed by double-blind human adjudication. Findings The three LLMs collectively identified 1197 issues, of which 1113 (93%) were confirmed after double-blind review. Detected problems were dominated by terminological accuracy (408, 36.7%), followed by idiomatic expression, grammatical correctness, and adherence to academic conventions. Different LLMs exhibited complementary strengths across evaluation dimensions; integrated use can enhance overall abstract quality. Conclusions LLMs are effective assistive tools for English-abstract editing in medical journals, improving editorial efficiency and textual quality. Recommended practices include refined prompt design, multi-model integration, structured assessment frameworks, clear human–machine role boundaries, and strict adherence to ethical standards.
Purposes This study focuses on the current status of the dissemination of China’s high-level English-language scientific journals on integrated media platforms. It aims to explore their platform layout, dissemination characteristics, and existing challenges, and to propose preliminary development suggestions. Methods A systematic investigation was conducted on the dissemination of major integrated media platforms (WeChat official accounts, WeChat channels, Bilibili, ScienceNet, Toutiao, X, Facebook, YouTube, LinkedIn, and ResearchGate). Metrics including number of posts, shares, likes, and followers were collected and analyzed using content analysis and comparative analysis methods. Cross-analysis was further performed combining journal impact factor (JIF), WeChat communication index (WCI), and X platform follower counts to systematically examine the layout models, content strategies, and dissemination effectiveness in media integration. Findings The findings show that China’ high-level English scientific journals have initially formed a media matrix centered on WeChat official accounts and coordinated with multiple domestic and international platforms with strong content guidance and brand influence, but overall issues remain, such as uneven platform coverage and varying dissemination effectiveness. Conclusions These journals have formed a multi-level media matrix, yet it is still needs to be improved in video platforms and certain overseas social media operations. Optimizing matrix construction and implementing differentiated, targeted operational strategies based on platform characteristics and journal positioning can maximize media dissemination effectiveness, providing valuable reference for enhancing the international visibility and competitiveness for achieving high-quality development.
Purposes This study aims to explore the connotative development path for the internationalization of university journal clusters within the context of China’s strategy to build a leading country in education, with the goal of addressing the challenge of being “large in scale but weak in influence” and to propose a practical model for sustainable global development. Methods Employing case study methodology and synergy theory, we systematically analyze the status quo of journal cluster internationalization. Taking journal cluster of Shanghai Jiao Tong University as an empirical case, we deconstruct its integrated mechanism combining the “Four-Learning” framework(discipline, academia, scholars, students) with a “four-capacity” system (research, planning, operation, service). Findings The research demonstrates that shifting from scale expansion to connotative development constitutes the fundamental pathway. Effective internationalization requires establishing an ecological matrix through policy reinforcement, disciplinary empowerment, and global collaboration networks. The proposed “strategic positioning-capacity cultivation-ecological governance” model proves instrumental in quality enhancement. Conclusions University journal clusters should prioritize connotative development, strengthen the “Four-Learning” framework and “Four-Capacity” system, and build an academic publishing ecosystem that embodies Chinese characteristics while enhancing global competitiveness. This study offers valuable insights for formulating internationalization strategies for journal clusters.
Purposes This study aims to comprehensively analyze the content, channels, and models of author services provided by the four leading international academic publishing groups (Elsevier, Springer Nature, Wiley, Taylor & Francis), offering references and insights for Chinese scientific journals to establish and improve their author service systems. Methods Through web-based research, content analysis, and comparative study methods, this study systematically examined the author services offered by the four leading international publishing groups across the entire publishing process(pre-submission, during publication, and post-publication)and conducted a multi-dimensional comparison to summarize the commonalities and distinctive features of their author services. Findings The four leading groups have established a full-chain service system covering “pre-submission guidance-publication support-post-publication promotion”. Before submission, they provide systematic academic training, intelligent journal selection tools, and in-depth editorial services. During publication, they enhance efficiency and author experience through online proofing systems, preprint platforms, rapid manuscript transfer mechanisms and manuscript status tracking services. After publication, they expand dissemination and strengthen author engagement through content sharing, multimedia promotion, and impact tracking. Conclusions Chinese scientific journals should learn from international best practices by constructing a full-process service system, strengthening digital platform development, accelerating the application of artificial intelligence, deepening humanistic care, and advancing open access to enhance their international competitiveness.
Purposes From the perspective of symbiosis theory, this study explores the implementation pathways for the synergistic development of Chinese scientific journal industrial clusters, aiming to provide a theoretical basis and practical solutions for addressing the issue of "fragmented aggregation without synergy" and fostering high-level synergistic symbiosis communities. Methods Based on symbiosis theory, an analytical framework comprising "symbiotic units-symbiotic modes-symbiotic environment-symbiotic interfaces" was constructed to systematically diagnose key issues in the capabilities of units, symbiotic mechanisms, environmental support, and interface efficiency within scientific journal industrial clusters. Findings The research indicates that current scientific journal industrial clusters face multiple constraints, including weak unit competitiveness, lack of reciprocal mechanisms, insufficient environmental support, and inefficient interfaces. Accordingly, pathways are proposed: clarifying unit positioning to enhance endogenous capabilities, innovating interaction mechanisms to establish reciprocal modes, optimizing policy and technological environments to strengthen systemic support, and smoothing interactive channels to improve interface efficiency, thereby systematically promoting cluster synergy. Conclusions Symbiosis theory provides an effective analytical tool for the development of scientific journal industrial clusters. Promoting their evolution into synergistic symbiosis communities requires coordinated optimization of units, modes, environments, and interfaces, ultimately achieving a strategic transition from "physical aggregation" to "value symbiosis".
Purposes Under the guidance of the concept of “Talents is the primary resource”,this paper’s aim is to explore the feasible path for building an editorial talent team empowered by agricultural-journal cluster. Methods Taking the practice of China Agricultural Journals Net which has been constructed for 5 years as an example, the relevant tweets and data of editorial talent training were obtained from the official platform of the China Agricultural Journals Net. The innovative measures and achievements of agricultural journal clusters during the construction of editorial team were comprehensively analyzed. Findings The China Agricultural Journals Net integrates high-quality resources, creates a learning community for agricultural journal editors, enriches the content of the Academic Meeting of China Agricultural Journals, holds knowledge contest on agricultural journal editing and proofreading, establishes the Research Fund Project of China Agricultural Journals Net, and awards editor talents, and helps editors grow into high-end talents combining editing and research. It has laid an important foundation for the construction of the editorial talent team of agricultural journals. Conclusions By taking effective measures, the China Agricultural Journals Net has broken the restrictions of the "small,weak and scattered" pattern on the cultivation of editorial talents, achieved the high-quality growth of the editorial team empowered by the journal cluster, and explored a feasible pathway for cultivating editorial talents suitable for the development of first-class journals.
Purposes Exploring the synergistic development mechanism between scientific journals and learned societies is crucial for promoting academic innovation and enhancing China’s international discourse power in global scientific governance. Methods Using the Chinese Ceramic Society (CSS) and its journals Journal of the Chinese Ceramic Society and Journal of Materiomics (JMAT) as case studies, this paper systematically elaborates on the mechanisms and pathways for synergistic development between scientific journals and learned societies. Findings The CSS and the journals it publishes have formed a symbiotic relationship in serving national strategies and advancing disciplinary development. The society provides substantial academic resources to support journal development and leverages its credibility to enhance journal authority. The journals, through their influence, attract high-caliber members for the society, facilitate the creation of high-level academic exchange and industrial exhibition platforms, and provide expert resources for the society to support local economic development with regional characteristics. While effectively serving national strategies and promoting disciplinary development, both parties can further enhance their synergistic role in scientific and technological achievement evaluation and the cultivation of young talent. Conclusions Scientific journals and learned societies can achieve synergistic development through mechanisms such as resource integration, value symbiosis, and operational collaboration.
Purposes To reveal the false statement behavior in self-retraction, and to provide a reference basis for scientific and technological journals to correctly identify active retraction behavior, distinguish between scientific misconduct retraction and honest retraction, etc. Methods Taking 1048 cases of scientific research misconduct reported by Chinese government departments as samples, 59 papers voluntarily retracted by authors were selected. The similarities and differences in the reasons for retraction in official reports and retraction statements were compared and analyzed. Findings The research found that only 17 retracted papers explicitly admitted research misconduct, 32 glorified the misconduct as honesty errors such as “data errors”, and 10 used vague expressions to downplay the problems. The authors cover up the facts of scientific research misconduct through means such as ambiguity, substitution and concealment. Some retraction statements even reinforce the rationality of false statements through “apologies”. Based on the theory of moral evasion, false statement behaviors are further classified into three types: mild (vague expression), moderate (term substitution), and severe (complete denial). Conclusions The scientific research management department should strengthen the review and accountability of retraction statements. The editorial departments of journals need to be vigilant against abnormal retraction requests. The author’s institution should supervise the retraction behavior. Researchers need to integrate multi-source information to determine the nature of the retraction.
Purposes This paper analyzes the current situation of manuscript withdrawal management and academic norm construction of important management journals in China, and provides countermeasures and suggestions for the academic norm construction of sci-tech journals and science funds. Methods Taking 30 important domestic management journals recognized by the Management Science Department of the National Natural Science Foundation (NSFC) as the research objects, with the help of text analysis and other methods, the retrieval, integration and text analysis of information related to journal retraction were carried out. Findings Most of the academic misconduct in domestic management journals are “suspected plagiarism” “high repetition rate” “multiple manuscripts submitted” and “repeated publication”, but the number of manuscripts withdrawn and high AI rate are also increasing. The construction of management norms for manuscript withdrawal of management journals varies, and there is still room for improvement. Conclusions The management of withdrawing manuscripts and the construction of academic norms of important domestic management journals are gradually improved, and it is necessary to strengthen the linkage and integration with scientific and technological management departments and academic communities, build an academic ecological collaborative system, and enhance scientific research integrity and academic reputation.
Purposes This study investigates the policy frameworks of library and information science (LIS) journals regarding the use of generative artificial intelligence (AIGC), aiming to provide insights for the standardized application of AI technologies in LIS scholarly publishing and scientific research. Methods A multi-dimensional analysis was conducted on SSCI- and ESCI-indexed LIS journals using a mixed-methods approach combining LDA topic modeling and Nvivo-based qualitative coding, examining structural dimensions (indexing status, journal quartile, publisher background) and role-specific dimensions (authors, reviewers, and editors). Findings AIGC policies exhibit significant differentiation across indexing databases, journal rankings, and publishers. Author-related policies primarily focus on writing assistance and data analysis, while policies for reviewers and editors emphasize confidentiality, integrity, and accountability. Although some journals have established governance measures, challenges persist, including uneven policy coverage, hierarchical disparities, and ambiguous boundaries of acceptable use. Conclusions Current AIGC policies in LIS journals lack a comprehensive governance system. A tiered framework of “top level standard setting-mid level platform support-grassroots implementation and enforcement” should be established to promote the synergistic advancement of technological empowerment and research integrity in scholarly publishing in the AI era.
Purposes The dissemination of academic short videos by scientific journals is an important means of integrated communication for scientific journals. Master's and doctoral students are among the main groups watching academic short videos. By investigating and analyzing the motivations behind the viewing behaviors of maste’s and doctoral students towards academic short videos from scientific and technological journals, we can identify the operational issues of these academic short videos, thereby providing references for enhancing their content production and operation. Methods A questionnaire survey was conducted among master’s and doctoral students. A research model was constructed based on the expectation-confirmation theory to understand the viewing behavior and motivation of this group, and operational strategies for academic short videos of scientific journals were proposed. Findings The study found that the continuous viewing intention of master’s and doctoral students stems from content satisfaction and the level of expectation confirmation. The information value of academic short videos can affect users’ perceived usefulness and satisfaction, while expectation confirmation can drive users to develop viewing interest and positive attitudes. The information value of academic short videos indirectly and positively influences the continuous viewing intention of master’s and doctoral students through perceived usefulness. Conclusions Scientific journals should strengthen the integration of resources on academic short video platforms. The operation of academic short videos needs to focus on disciplinary hotspots to enhance information value, explore one-click traceability to improve the level of knowledge services, and explore the profitability of academic short videos based on user needs.