Criminal Investigation Police University of China

7.7k citations
678 papers ·

Impact in

Papers in

Criminal Investigation Police University of China

578 papers receiving 7.7k citations

Peers

Criminal Investigation Police University of China
Comparison fields: 5 of 204
  • Safety Research 958
  • Rehabilitation 307
  • Computer Vision and Pattern Recognition 662
  • Analytical Chemistry 295
  • Genetics 631
Replace National Forensic Institute with:
National Forensic Institute South Korea
SK Group (South Korea) South Korea
Institute of Forensic Science China
Jungwon University South Korea
PLA 306 Hospital China
Liaoning Provincial People's Hospital China
Anyang University South Korea
Yasuda Women's University Japan
Heilongjiang Provincial Hospital China
University of Nagasaki Japan
Criminal Investigation Police University of China relative to National Forensic Institute South Korea National Forensic Institute's profile →
Citations per field
00.5×5×10×15×18.1×
National Forensic Institute · 1×
Citations per year

Countries citing scholars working at Criminal Investigation Police University of China

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Criminal Investigation Police University of China. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Criminal Investigation Police University of China with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Criminal Investigation Police University of China more than expected).

Fields of papers published by authors at Criminal Investigation Police University of China

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Criminal Investigation Police University of China at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Criminal Investigation Police University of China at the time of their publication.

About Criminal Investigation Police University of China

In recent decades, authors affiliated with Criminal Investigation Police University of China have published 678 papers, which have received a total of 7.7k indexed citations . Scholars at this organization have produced 73 papers in Safety Research, 23 papers in Toxicology, 74 papers in Computer Vision and Pattern Recognition, 67 papers in Artificial Intelligence and 19 papers in Analytical Chemistry on the topics of Forensic Fingerprint Detection Methods (71 papers), Forensic and Genetic Research (35 papers), Forensic Toxicology and Drug Analysis (23 papers), Speech Recognition and Synthesis (20 papers), Cultural Heritage Materials Analysis (16 papers), Educational Technology and Pedagogy (16 papers), Advanced Neural Network Applications (14 papers) and Network Security and Intrusion Detection (14 papers). Their work is cited by papers focused on Safety Research (958 citations), Rehabilitation (307 citations), Computer Vision and Pattern Recognition (662 citations), Analytical Chemistry (295 citations) and Genetics (631 citations). Authors at Criminal Investigation Police University of China collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Journal of Forensic Sciences, Forensic Science International Genetics, Forensic Science International, Scientific Reports and IEEE Access. Some of Criminal Investigation Police University of China's most productive authors include Chuanbin Mao, Fei Guo, Meng Wang, Ye Zhu, Aoyang Yü, Ming Li, Ziqing Lin, Naofumi Mukaida, Tatsunori Takayasu and Toshikazu Kondo.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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