天津科技

天津科技 ›› 2025, Vol. 52 ›› Issue (09): 86-90.

• 科学与社会 • 上一篇    下一篇

2004—2024年我国高校大型仪器平台研究热点及前沿态势分析

王建1, 陈凯2, 李晶晶1,*, 丁轶1   

  1. 1.天津理工大学 天津 300384;
    2.天津科技大学 天津 300457
  • 收稿日期:2025-08-05 出版日期:2025-09-25 发布日期:2026-01-04
  • 通讯作者: *
  • 基金资助:
    天津理工大学教学基金重点项目“新工科背景下高校公共科研服务平台与人才培养体系建设新模式”（ZD22-05）

Analysis of research hotspots and frontier trends of large-scale instrument platforms in Chinese universities from 2004 to 2024

WANG Jian1, CHEN Kai2, LI Jingjing1,*, DING Yi1   

  1. 1. Tianjin University of Technology,Tianjin 300384,China;
    2. Tianjin University of Science & Technology,Tianjin 300457,China
  • Received:2025-08-05 Online:2025-09-25 Published:2026-01-04

摘要： 运用CiteSpace软件,对中国知网（CNKI）数据库2004—2024年间收录的407篇大型仪器平台研究文献进行文献计量分析。通过构建高校大型仪器平台研究领域的科学知识图谱,系统揭示该领域的研究热点、前沿动态及发展趋势。从文献计量学视角出发,深入解析该领域的文献增长规律、核心作者群分布特征、优势机构合作网络及高影响力期刊构成。采用关键词共现分析与时区演进方法,发现该领域研究呈阶段性发展趋势。进一步结合关键词探测与聚类分析,识别该领域未来应重点关注的研究方向,特别强调大型仪器平台专业化培训体系的构建路径及其在高等教育改革创新中的适配性研究价值。

关键词: 高校, 大型仪器平台, 知识图谱, 发展趋势

Abstract: Using CiteSpace software,this study conducts a systematic bibliometric analysis of 407 research articles on large-scale instrument platforms indexed in the China National Knowledge Infrastructure （CNKI） database from 2004 to 2024. By constructing a scientific knowledge map for the research field of large-scale instrument platforms in universities,the research hotspots,frontier trends,and development trends of this field were systematically revealed. From a bibliometric perspective,the literature growth patterns,distribution characteristics of core author groups,collaborative networks among leading institutions,and the composition of high-impact journals were investigated. Through keyword co-occurrence analysis and time-zone evolution method,it is found that the research in this field shows a phased development trend. Furthermore,through an integrated approach combining keyword detection and cluster analysis,critical future research directions are discerned,with particular emphasis on establishing professional training frameworks for large-scale instrument platforms and evaluating their adaptive potential in higher education reform and innovation.

Key words: universities, large-scale instrument platform, knowledge map, development trends

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