基于Web of Science数据库中医药治疗失眠的可视化分析

Visual Analysis of Traditional Chinese Medicine in the Treatment of Insomnia Based on the Web of Science Database

摘要: 近年来，中医药治疗失眠的研究逐渐成为学术热点。然而，至今尚未有研究对这一领域进行系统的文献计量学分析。本研究为全面剖析中医药治疗失眠领域的研究进展，对目前的相关文献进行梳理和总结，旨在揭示该领域的研究现状、热点和发展趋势。以Web of Science核心数据库为文献检索平台，搜集了从数据库建立之初至2025-04-30期间发表的所有与中医药治疗失眠的相关的文献。运用R语言的Bibliometrix包以及VOSViewer软件可视化分析工具，对所收集的文献数据进行了多维度的深入分析，包括国家、机构、作者、关键词以及共引文献等，旨在揭示该领域的研究动态和前沿热点。结果：共纳入834篇相关文献，中医药治疗失眠领域在国内外的发文量呈逐年上升的趋势，发文量第一的国家是中国。在机构层面，发文量位居榜首的是中国广州中医药大学。在个人贡献方面，香港大学的教授则是被引用最多的学者。《Medicine》是该领域发文量最多的期刊。高频关键词有“insomnia”“acupuncture”“sleep”“prevalence”“depression”等。通过分析该领域的前沿热点，发现出现被引用频次最高的文献为“ZHOU ZH, 2024, INT J NEUROSCI”。结论：当前本领域以中药、针刺等中医干预方式的疗效及机制研究为主要热点研究方向，研究内容广泛、研究机构众多、发文量较高，具有良好的发展前景。

Abstract: In recent years, the investigation into insomnia treatment using traditional Chinese medicine (TCM) has emerged as a significant academic focus. However, to date, no systematic bibliometric analysis of this domain has been conducted. This study aims to comprehensively analyze the research advancements in TCM-based insomnia treatment, systematically review and synthesize relevant literature, and elucidate the current research status, hotspots, and developmental trends in this field. By utilizing the Web of Science core collection as the literature retrieval platform, all publications related to TCM-based insomnia treatment from the inception of the database to April 30, 2025, were retrieved. Employing the Bibliometrix package in R language and the visualization tool VOSViewer, a multidimensional and in-depth analysis was performed on the collected literature data, encompassing countries, institutions, authors, keywords, and co-cited literature, among others, to uncover research trends and cutting-edge hotspots in this domain. Results: A total of 834 relevant publications were included. The number of published papers in the field of TCM-based insomnia treatment has shown an annual increase both domestically and internationally. China ranks first in terms of the number of published papers. At the institutional level, Guangzhou University of Chinese Medicine in China leads with the highest number of published articles. Regarding individual contributions, scholars from the University of Hong Kong are the most frequently cited. “Medicine” is the journal with the highest number of publications in this field. High-frequency keywords include “insomnia”, “acupuncture”, “sleep”, “prevalence”, and “depression”. Through analyzing the cutting-edge hotspots, it was determined that the most frequently cited literature is “ZHOU ZH, 2024, INT J NEUROSCI”. Conclusion: Currently, in this field, the efficacy and mechanism of TCM intervention methods such as herbal medicine and acupuncture constitute the primary research focus. The research content is extensive, involving numerous institutions and a relatively high number of published papers, indicating promising development prospects.