Bibliometric Visualization and Google Trends Analysis of Electroacupuncture Analgesia
DOI:
https://doi.org/10.62836/amr.v4i1.530Keywords:
electroacupuncture therapy, bibliometrics, Google Trends, pain management, scope reviewAbstract
Objective: To explore research hotspots and trends in the application of electroacupuncture techniques in the field of pain management, providing reference for further studies. Methods: We retrieved relevant literature from the Web of Science Core Collection database covering 1 January 2006, to 15 August 2025. Using CiteSpace software, we generated visualization maps based on publication regions, institutions, authors, and keywords to investigate research hotspots and development trends in this domain. Concurrently, Bibliometrix 5.1.0 software and Google Trends were employed to obtain corresponding public search trends, evaluating the relationship between academic research intensity and public attention. Results: A total of 542 articles were included. Publication volume initially increased then declined; core regions exhibited close collaboration; authors primarily engaged in intra-team cooperation; topics like “chronic pain” and ‘migraine’ were hotspots aligning academic and public interest, while “electroacupuncture” showed a recognition gap. Conclusions: Current electroacupuncture analgesia research focuses on neurobiological mechanisms, acupoint and parameter optimization, and combined applications. Research exhibits phased development with gaps between academic and public understanding. Development remains uneven across institutions, authors, and regions, with limited cross-team, cross-regional, and international collaboration—most partnerships being internal. Future efforts should strengthen multi-stakeholder cooperation, address knowledge gaps through science communication, integrate with smart technologies for enhanced clinical relevance, and elevate practical value.
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Copyright (c) 2025 Yuxuan Cui, Han Shi, Yuying Wu, Yanru Pan, Yunhan Shao, Jiaqi Xu, Lijun Hu, Jialu Weng, Lin Ye, Yanfei Xu, Feilin Ni, Haiyang Lu, Xiaoying Tong, Shihua Cao
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommerical-NoDerivatives 4.0 International License.
