Visual Analysis of Knowledge Graph of Hypertension with Yang-qi Hyperactivity Syndrome Based on CiteSpace
HUANG Xinyu
ZHANG Lei
JIANG Feng
YU Jie
MA Yongbo
Abstract:Objective:To understand the research hotspots and current situation in the field of hypertension with Yang-qi hyperactivity syndrome,so as to provide research ideas and reference for the future research direction.Methods:The CiteSpace6.1 R3C software was used to analyze the literatures of hypertension with Yang-qi hyperactivity syndrome from the establishment of China knowledge Network(CNKI),Chinese Sci-tech Journals Database(VIP)and Chinese academic Journals Database(WanFang Data)to November 25,2022.The research trend of hypertension with Yang-Qi hyperactivity syndrome of hypertension was analyzed by visual analysis.Results:A total of 1 881 literatures were included,and the author with annual publication volume showed a fluctuating upward trend.In 2019,it reached a maximum of 146 articles,including 392 authors.The most published articles was Li Yunlun,There were 42 core authors.Involving 294 institutions,Shandong University of Traditional Chinese Medicine,the Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Xiangya Hospital of Central South University,and Hunan University of Traditional Chinese Medicine were the main research institutions.Five hundred ninety-six keywords were included,and the high-frequency keyword map and keyword cluster analysis showed that the research focused on syndrome differentiation,treatment methods,clinical research,and mechanism research.Conclusion:The clinical research for the treatment of hypertension with Yang-qi hyperactivity syndrome by traditional Chinese medicine will continue to be a research hotspot.Hypertensive yang hyperactivity syndrome shows great research space and value in microscopic mechanism,clinical diagnosis and treatment,etc.Further studies could be carried out in-depth research by means of multi-agency cooperation.
Keywords:hypertensionYang-qi hyperactive inverseCiteSpacevisual analysisbibliometrics
Publication Date:2025-01-15
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 28-35 )