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Visualization Analysis of Artificial Intelligence Literature in Forensic Research
Yi-Ming Dong1, Chun-Mei Zhao1, Nian-Nian Chen1
1School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
Fa Yi Xue Za Zhi
|March 19, 2024
Summary
Artificial intelligence (AI) in forensic research is rapidly growing, with key applications in sex/age estimation and individual identification. Future work should focus on interdisciplinary collaboration and advanced AI integration.
Area of Science:
- Forensic Science
- Artificial Intelligence
- Bibliometrics
Background:
- The application of artificial intelligence (AI) in forensic science is an emerging field.
- Understanding the research landscape and trends is crucial for future development.
Purpose of the Study:
- To analyze the literature on AI in forensic research published between 2012 and 2022.
- To identify research hotspots and developmental trends in this field.
Main Methods:
- Bibliometric analysis of 736 articles from the Web of Science Core Collection Database (2012-2022).
- Visualization and analysis using the CiteSpace tool.
- Examination of authors, institutions, countries, journals, and keywords.
Main Results:
- A significant increasing trend in publications on AI in forensic science.
- The United States and China are leading countries in publications.
- Key research areas include sex/age estimation, cause of death analysis, postmortem interval estimation, and individual identification.
Conclusions:
- International and institutional cooperation is essential for advancing AI in forensic research.
- Cross-disciplinary research combining AI and forensic science is a promising future direction.
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