Visualization Analysis of Artificial Intelligence Literature in Forensic Research

Fa Yi Xue Za Zhi. 2024 Feb 25;40(1):1-14. doi: 10.12116/j.issn.1004-5619.2023.430311.
[Article in English, Chinese]

Abstract

Objectives: To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database, to explore research hotspots and developmental trends.

Methods: A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the literature measuring tool CiteSpace. The authors, institution, country (region), title, journal, keywords, cited references and other information of relevant literatures were analyzed.

Results: A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries (regions) were identified, with the number of articles published showing an increasing trend year by year. Among them, the United States had the highest number of publications and China ranked the second. Academy of Forensic Science had the highest number of publications among the institutions. Forensic Science International, Journal of Forensic Sciences, International Journal of Legal Medicine ranked high in publication and citation frequency. Through the analysis of keywords, it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technology for sex and age estimation, cause of death analysis, postmortem interval estimation, individual identification and so on.

Conclusions: It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research. Exploring the combination of advanced artificial intelligence technologies with forensic research will be a hotspot and direction for future research.

目的: 分析2012—2022年Web of Science核心合集数据库中人工智能在法医学研究领域的文献,探索该领域的研究热点和发展趋势。方法: 通过文献计量工具CiteSpace对2012—2022年Web of Science核心合集数据库关于人工智能在法医学领域的736篇文献进行可视化分析,对相关文献的作者、机构、国家(地区)、标题、期刊、关键词、引用的参考文献等信息进行分析。结果: 736篇文献来自69个国家(地区)289家机构的355位作者,发表于220种期刊,发文量呈逐年上升趋势。其中美国发文量最高,中国位列第二,机构中司法鉴定科学研究院发文量最高。Forensic Science InternationalJournal of Forensic SciencesInternational Journal of Legal Medicine在发表文献和被引频次中均排名靠前。对关键词进行分析发现,人工智能在法医学领域的研究热点主要集中在利用人工智能技术进行性别年龄推断、死亡原因分析、死亡时间推断、个体识别等方面。结论: 应注重国际合作与机构间合作,加强交叉学科间的研究。探索先进的人工智能技术应用于法医各学科领域将是未来研究的热点与方向。.

Keywords: CiteSpace; Web of Science; artificial intelligence; bibliometrics; forensic medicine; visualization analysis.

MeSH terms

  • Artificial Intelligence*
  • Autopsy
  • China
  • Forensic Medicine*
  • Forensic Sciences