Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Prince Philip Dental Hospital, No.34 Hospital Road, Hong Kong SAR, China.
Department of Restorative Dentistry, Faculty of Dentistry, the National University of Malaysia, Kuala Lumpur, Malaysia.
Head Face Med. 2023 Aug 23;19(1):38. doi: 10.1186/s13005-023-00383-0.
The application of artificial intelligence (AI) in orthodontics and orthognathic surgery has gained significant attention in recent years. However, there is a lack of bibliometric reports that analyze the academic literature in this field to identify publishing and citation trends. By conducting an analysis of the top 100 most-cited articles on AI in orthodontics and orthognathic surgery, we aim to unveil popular research topics, key authors, institutions, countries, and journals in this area.
A comprehensive search was conducted in the Web of Science (WOS) electronic database to identify the top 100 most-cited articles on AI in orthodontics and orthognathic surgery. Publication and citation data were obtained and further analyzed and visualized using R Biblioshiny. The key domains of the 100 articles were also identified.
The top 100 most-cited articles were published between 2005 and 2022, contributed by 458 authors, with an average citation count of 22.09. South Korea emerged as the leading contributor with the highest number of publications (28) and citations (595), followed by China (16, 373), and the United States (7, 248). Notably, six South Korean authors ranked among the top 10 contributors, and three South Korean institutions were listed as the most productive. International collaborations were predominantly observed between the United States, China, and South Korea. The main domains of the articles focused on automated imaging assessment (42%), aiding diagnosis and treatment planning (34%), and the assessment of growth and development (10%). Besides, a positive correlation was observed between the testing sample size and citation counts (P = 0.010), as well as between the time of publication and citation counts (P < 0.001).
The utilization of AI in orthodontics and orthognathic surgery has shown remarkable progress, particularly in the domains of imaging analysis, diagnosis and treatment planning, and growth and development assessment. This bibliometric analysis provides valuable insights into the top-cited articles and the trends of AI research in this field.
人工智能(AI)在口腔正畸学和正颌外科学中的应用近年来受到了广泛关注。然而,目前缺乏对该领域学术文献进行分析以确定发表和引用趋势的文献计量报告。通过对口腔正畸学和正颌外科学中关于 AI 的前 100 篇高被引文章进行分析,我们旨在揭示该领域的热门研究主题、主要作者、机构、国家和期刊。
在 Web of Science(WOS)电子数据库中进行全面检索,以确定口腔正畸学和正颌外科学中关于 AI 的前 100 篇高被引文章。获取发表和引用数据,并使用 R Biblioshiny 进一步进行分析和可视化。还确定了 100 篇文章的主要领域。
前 100 篇高被引文章发表于 2005 年至 2022 年,由 458 位作者撰写,平均引用次数为 22.09 次。韩国是发表文章(28 篇)和被引次数(595 次)最多的国家,其次是中国(16 篇,373 次)和美国(7 篇,248 次)。值得注意的是,有 6 位韩国作者位列前 10 位贡献者之列,有 3 家韩国机构是最具生产力的机构。国际合作主要发生在美国、中国和韩国之间。文章的主要领域集中在自动成像评估(42%)、辅助诊断和治疗计划(34%)以及生长发育评估(10%)。此外,测试样本量与引用次数之间存在正相关关系(P=0.010),发表时间与引用次数之间也存在正相关关系(P<0.001)。
AI 在口腔正畸学和正颌外科学中的应用取得了显著进展,特别是在成像分析、诊断和治疗计划以及生长发育评估领域。本文献计量分析为该领域的高被引文章和 AI 研究趋势提供了有价值的见解。