• 中国核心期刊(遴选)数据库收录期刊
  • 中文科技期刊数据库收录期刊
  • 中国期刊全文数据库收录期刊
  • 中国学术期刊综合评价数据库统计源期刊等

中国药物评价 ›› 2023, Vol. 40 ›› Issue (4): 326-331.

• 理论与方法前沿 • 上一篇    下一篇

中药资源利用研究的知识图谱可视化分析

 姚倚琦1, 黎祖鸣2, 陈正义1, 谢锦楠1, 方春平3*   

  1. 1.广州中医药大学第一临床医学院, 广东 广州 510405;
    2.广州中医药大学第二临床医学院, 广东 广州 510405;
    3.广州中医药大学中药学院, 广东 广州 510405
  • 收稿日期:2023-06-30 修回日期:2023-07-28 出版日期:2023-08-28 发布日期:2023-08-28
  • 基金资助:
    广州中医药大学省级大学生创新创业训练计划项目(202210572322X)

Knowledge Mapping on the Resources Utilization for Chinese Materia Medica

  1. 1.The First Medicine College of Guangzhou University of Chinese Medicine,Guangdong Guangzhou 510405, China;
    2.The Second Medicine College of Guangzhou University of Chinese Medicine, Guangdong Guangzhou 510405, China;
    3.Guangzhou University of Chinese Medicine, College of Traditional Chinese Medicine, Guangdong Guangzhou 510405, China
  • Received:2023-06-30 Revised:2023-07-28 Online:2023-08-28 Published:2023-08-28
  • Contact: Chunping ChunpingFANG E-mail:fcp2004@gzucm.edu.cn

摘要: 目的:了解中药资源利用研究现状,挖掘研究热点与方向。方法: 采用Citespace6.1对CNKI收录的1982年1月至2022年12月收录的中药资源利用领域文献进行年度发表量、作者与机构、关键词和突现词分析。结果: 共检索到文献601篇,纳入589篇。年度发文量分3个阶段,主要作者以段金廒为代表;研究机构主要集中在北京、江苏等地区;高频关键词为中药资源、开发利用等;关键词共16个聚类,分4个方向;研究热点为中药废弃物、循环利用等。结论: 知识图谱重点展现了中药资源与开发利用的关系,未来研究热点可能与中药废弃物的处理有关。
 

关键词: font-size:medium, ">中药资源;开发利用;知识图谱;可视化分析

Abstract: Objective: To analyze the exploitation of Chinese medicine resources by text network analysis. Methods: A scientometric analysis was performed by CNKI database from January 1982 to December 2022 through CiteSpace 6.1. Results: A total of 589 valid literatures were included. The core author is Duan Jingao.The research institutions were mainly from Beijing and Jiangsu Province.High-frequency keywords were the exploitation of Chinese medicine resources. The hot spots were resources circulating utilization etc. Conclusion: The knowledge mapping revealed research advances and prospects, focusing on ton the resources circulating utilization for Chinese materia medica.

Key words: font-size:medium, ">Resources utilization; Chinese materia medica; Knowledge mapping; Visual analysis

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