Karbasi Zahra, Gohari Sadrieh H, Sabahi Azam
Medical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran.
Department of Health Information Sciences, Faculty of Management and Medical Information Sciences Kerman University of Medical Sciences Kerman Iran.
Health Sci Rep. 2023 May 4;6(5):e1244. doi: 10.1002/hsr2.1244. eCollection 2023 May.
One such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a "citation." By using bibliometric analysis, the development of research areas and authors' influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID-19.
On July 27, 2022, this database was searched using the keywords "artificial intelligence" and "COVID-19" in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords.
The average number of citations for 100 highly cited articles was 138.54. The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles.
The current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID-19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.
其中一种策略是研究人员用于研究规划的文献引用分析，一篇文章被另一篇文章引用即获得一次“引用”。通过文献计量分析，可以研究研究领域的发展和作者的影响力。本研究旨在识别和分析100篇关于人工智能在2019冠状病毒病（COVID-19）中应用的高被引文章的特征。
2022年7月27日，在该数据库中使用主题关键词“人工智能”和“COVID-19”进行检索。经过广泛检索，所有检索到的文章按引用次数排序，根据引用次数纳入100篇高被引文章。提取以下数据：发表年份、研究类型、期刊名称、国家、引用次数、语言和关键词。
100篇高被引文章的平均引用次数为138.54次。被引次数排名前三的文章分别有745次、596次和549次引用。前100篇文章均为英文，发表于2020年和2021年。中国是发文量最多的国家，有19篇文章，其次是美国，有15篇文章，印度有10篇文章。
当前的文献计量分析表明人工智能在COVID-19中的应用有显著增长。利用这些结果，可以更明确研究重点，研究人员可以专注于热点话题。
