基于Citespace双重任务的文献可视化分析

作     者：白云先 温灵芝 黄建平 

作者机构：浙江中医药大学附属温州市中医院神经内科浙江 温州 温州市中心医院神经内科浙江 温州 

出 版 物：《临床医学进展》 (Advances in Clinical Medicine)

年 卷 期：2025年第15卷第1期

页      面：921-934页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：中央高水平医院临床科研业务费(项目编号:BJ-2023-067) 

主　　题：双重任务 Citespace 可视化分析 文献计量学 

摘      要：目的:检索国内外近10年有关双重任务的研究进行文献计量学及可视化分析,总结研究现状、热点及未来发展趋势。方法:通过检索中国知网和Web of Science核心数据库中自2014年1月1日至2024年9月15日有关双重任务的文献。采用Citespace软件对作者、机构、国家、共被引文献进行分析,绘制可视化图谱;对关键词进行可视化、聚类、时间演化、Burst分析。结果:中国知网检索并分析392篇文献,郑洁皎是高发文量作者,福建师范大学心理学院是高发文量机构;WoS检索并分析6423篇文献,Hausdorff Jeffrey M.是高产文量作者,发文量和中心度最高的机构是哈佛大学,发文量最多的国家是美国,中心度最高的国家是威尔士。国内外研究热点集中在脑卒中、脑震荡、帕金森病、认知障碍等疾病,以及姿势、平衡、步态及各认知领域等双任务性能。预测该领域未来一段时间内将结合智能探索双重任务及神经网络改变的机制。结论:运用Citespace分析近10年关于双重任务的研究文献,科学直观地展示了该领域的现状、热点话题及未来发展趋势,为继续研究提供参考。Purpose: To summarise the current status, hotspots and future trends of research on dual-tasking through bibliometrics and visualisation analysis of domestic and international research on dual-tasking in the last 10 years. Method: Literature on dual-mission from January 1, 2014 to September 15, 2024 was searched through the core databases of China Knowledge and Web of Science. Citespace software was used to analyze authors, institutions, countries, and co-cited literature, and to draw visual maps;keywords were visualized, clustered, time-evolved, and Burst analyzed. Results: China Knowledge retrieved and analyzed 392 documents, Zheng Jiejiao is a high volume author, and the School of Psychology of Fujian Normal University is a high volume institution;WoS retrieved and analyzed 6423 documents, Hausdorff Jeffrey M. is a high volume author, and the institution with the highest volume and centrality is Harvard University, and the country with the highest volume of publications is the United States, and the country with the highest centrality is Wales. The hotspots of domestic and international research have focused on the study of diseases such as stroke, concussion, Parkinson’s disease, and cognitive disorders, and the study of dual-task performance, such as posture, balance, gait, and various cognitive domains. It is predicted that the field will continue to explore dual-task and neural network alteration mechanism research in conjunction with the field of intelligence for some time to come. Conclusion: