地方“双一流”高校学报提高学术影响力的路径研究——基于《山西大学学报(自然科学版)》2016—2025年载文数据分析
贾杰 , 吴艳波 , 杜珊娜
山西大学学报(自然科学版) ›› 2026, Vol. 49 ›› Issue (04) : 683 -692.
地方“双一流”高校学报提高学术影响力的路径研究——基于《山西大学学报(自然科学版)》2016—2025年载文数据分析
Path Research on Improving Academic Influence of Journal of Local "Double First-class" University ——Based on the Data Analysis of Papers in the Journal of Shanxi University (Natural Science Edition) from 2016 to 2025
为了从数据驱动的视角出发审视办刊成效、优化办刊举措、进一步提升地方“双一流”高校综合类自然科学学报的学术影响力,本文系统梳理了《山西大学学报(自然科学版)》(简称“学报”)2016年—2025年载文数据。十年间学报共发文1 385篇,其中数学251篇、计算机科学340篇、物理学209篇、化学288篇、生物与环境科学297篇。论文作者中,2022年之前校内作者占比较大,变化区间为51.18%~65.61%,之后快速下降到2025年的31.03%。论文的篇均页码从2016年的6.37页稳步增加到2025年的10.88页,表明论文研究内容的丰富度在十年中得到了显著提升。相应地,期刊复合影响因子(来自中国知网《中国学术期刊影响因子年报》)也从2016年的0.396稳步增加到2024年的0.978。基于CiteSpace软件的可视化分析表明,共现率高的作者及合作机构仍然以山西大学校内教师和单位为主,因此需要引导作者及其机构合作网络从校内集聚向校际扩散转变;而共现率高的关键词集中于计算机科学、化学、中药学、生物学及环境科学等学科领域,其中来自计算机科学的关键词广泛出现在各个学科的论文中,表明以学科间交叉融合为基础的研究成为日益主流的研究范式。对学报入选《中国知网学术精要数据库》的论文分布的分析表明,专刊、专题和专栏(如计算机会议论文选登、网络药理学等)的论文具有相对高的综合学术影响力。因此,依托识别相对稳定的科研热点设置专栏,并融合重要节庆专刊及计算机学科会议专题,本刊形成了独具特色的高质量发展路径。本文的数据分析,则为该路径的持续完善与深入发展提供了有力的数据支撑。
To evaluate the effectiveness of the journal's editorial work and optimize the its development from a data-driven perspective, as well as to further enhance the academic influence of the Journal of comprehensive natural science published by a local "Double First-class" university, this paper provided a systematic review of the papers published in the Journal of Shanxi University (Natural Science Edition) from 2016 to 2025. The journal has published 1 385 papers in the past ten years, comprising 251 papers in mathematics, 340 in computer science, 209 in physics, 288 in chemistry, and 297 in biological and environmental science. Before 2022, the authors from Shanxi University accounted for a relatively large proportion, ranging from 51.18% to 65.61%. However, this proportion dropped sharply to 31.03% in 2025. The average paper length has increased steadily from 6.37 in 2016 to 10.88 in 2025, indicating the research content has become significantly richer over the past ten years. Accordingly, according to the Annual Report of China Academic Journal Impact Factor published by China National Knowledge Infrastructure (CNKI), the composite impact factor of the journal has also increased steadily from 0.396 in 2016 to 0.978 in 2024. The visual analysis based on CiteSpace shows that the authors and cooperative with high co-occurrence frequency are still mainly teachers and departments within Shanxi University. Therefore, it is necessary to transform the author-institution collaboration network from being concentrated within Shanxi University to being dispersed across multiple universities. Meanwhile, the keywords with high co-occurrence frequency focus on subject fields such as computer science, chemistry, traditional Chinese medicine, biological and environmental science. Keywords from computer science appear widely in papers across all discipline, which suggests that interdisciplinary research has become an increasingly mainstream paradigm. The analysis of papers included in CNKI Academic Essentials Database shows that the papers published in special issue—such as those from the Selected Papers of Computer Conference and Network Pharmacology—exhibit relatively high comprehensive academic influence. Thus, by establishing special columns based on the identification of relatively stable research hotspots, and integrating of important festive special issues as well as issues topics in computer science, this journal has developed a distinctive path toward high-quality development. The data analysis presented herein offers robust support for the ongoing refinement and advancement of this path.
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山西省2026年科技期刊能力提升项目(KJQK2026-07)
2025年山西省版权协会高校专项基金项目(SXBQXH2025-GXZX-01)
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