中草药2026，Vol.57Issue(12)：4760-4779,20.DOI:10.7501/j.issn.0253-2670.2026.12.020
基于文献计量学和全球专利的知识图谱技术在中医药领域研究进展与趋势可视化分析
Visual analysis of research progress and trends in field of traditional Chinese medicine using knowledge graph technology based on bibliometrics and global patents
摘要
Abstract
Objective To comprehensively sort out and visually analyze the research status,hotspots and trends of knowledge graph technology in the field of traditional Chinese medicine(TCM)from the perspectives of bibliometrics and global patents,provide references for in-depth research and development in this field.Methods The relevant Chinese and English literature published between January 1,2012,and December 31,2025,was systematically retrieved from the CNKI,Wanfang,VIP,and Web of Science databases.Using tools such as CiteSpace,VOSviewer,and Excel,we performed bibliometric and visual analyses of publication trends,institutional and author collaboration networks,journal sources,and keyword co-occurrence and evolution.Additionally,we analyzed global patent applications from the Incopat database,focusing on application trends,geographical distribution,applicants,and technical themes.Results A total of 745 valid publications were included(618 in Chinese,127 in English)and 432 patent families.Research on knowledge graph technology in TCM is in a phase of rapid development.Current hotspots focus on refining knowledge extraction techniques,developing KG-assisted diagnosis and treatment systems,intelligent question-answering,and synergistic applications with large language models.The field is moving toward deeper interdisciplinary integration and clinical application.China occupies a dominant position in both research output and patent applications(96％share),with established collaboration networks.However,cross-regional and interdisciplinary cooperation requires further strengthening.Conclusion Research on knowledge graph technology in the field of traditional Chinese medicine is deeply evolving from fundamental construction to intelligent applications.Despite China's quantitative advantage in patents,challenges persist,including a relative lack of high-value patents,technical homogenization,and insufficient international competitiveness.关键词
文献计量学/知识图谱/可视化分析/中医药/专利分析/CiteSpaceKey words
bibliometrics/knowledge graph/visual analysis/traditional Chinese medicine/patent analysis/CiteSpace分类
社会科学引用本文复制引用
陶奕臻,王雪婧,郑帏蔗,蒋慧珍,郄谊彬,何颖柔,林彬,罗广波..基于文献计量学和全球专利的知识图谱技术在中医药领域研究进展与趋势可视化分析[J].中草药,2026,57(12):4760-4779,20.基金项目
2021年度广州市基础研究计划基础与应用基础项目(202102080277) （202102080277）
广东省哲学社会科学创新工程特别委托项目(GD24WTCXGC09) （GD24WTCXGC09）
2024年广东省研究生教育创新计划项目(2024JGXM_038) （2024JGXM_038）
广州中医药大学2022年度人文社科项目(2022ZDPY03) （2022ZDPY03）
