Journal of Forensic Medicine

Journal of Forensic Medicine ›› 2024, Vol. 40 ›› Issue (3): 245-253.DOI: 10.12116/j.issn.1004-5619.2023.430803

• Original Articles • Previous Articles     Next Articles

Bibliometric Analysis of Forensic Human Remains Identification Literature from 1991 to 2022

Ji-wei MA1,2(), Ping HUANG3, Ji ZHANG2, Hai-xing YU2,4, Yong-jie CAO2,5, Xiao-tong YANG2,6, Jian XIONG2,7, Huai-han ZHANG2,6, Yong CANG8, Ge-fei SHI2(), Li-qin CHEN1()   

  1. 1.Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
    2.Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
    3.Institute of Forensic Science, Fudan University, Shanghai 200032, China
    4.School of Forensic Medicine, Xi’an Jiaotong University, Xi’an 710061, China
    5.Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China
    6.School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China
    7.School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, China
    8.Wuxi Intermediate People’s Court, Wuxi 214002, Jiangsu Province, China
  • Received:2023-08-14 Online:2024-08-20 Published:2024-06-25
  • Contact: Ge-fei SHI, Li-qin CHEN

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Abstract:

Objective To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification research. Methods The data retrieved and extracted from the Web of Science Core Collection （WoSCC）， the core database of the Web of Science information service platform （hereinafter referred to as “WoS”）， was used to analyze the trends and topic changes in research on forensic identification of human remains from 1991 to 2022. Network visualisation of publication trends, countries （regions）, institutions, authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10. Results A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained. The journal with the largest number of publications was Forensic Science International （164 articles）. The country （region） with the largest number of published papers was China （90 articles）. Katholieke Univ Leuven （Netherlands， 21 articles） was the institution with the largest number of publications. Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation, and the most commonly studied remains were teeth. Conclusion The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing. However, the scope of both international and domestic collaborations remains limited. Traditionally, human remains identification has primarily relied on key areas such as the pelvis, skull, and teeth. Looking ahead, future research will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.

Key words: forensic anthropological, bibliometrics, remains, Gephi, Web of Science, network visualization, betweenness centrality, eigenvector centrality

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