Cuiqun Chen
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Pollution top 5%
- Water Science and Technology top 10%
- Industrial and Manufacturing Engineering top 10%
- Topics
- Video Surveillance and Tracking Methods (18 papers)Human Pose and Action Recognition (9 papers)Face recognition and analysis (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Hazardous MaterialsBioresource Technology
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Cuiqun Chen
26 papers receiving 782 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 470
- Biomedical Engineering 201
- Pollution 157
- Water Science and Technology 141
- Industrial and Manufacturing Engineering 72
Countries citing papers authored by Cuiqun Chen
This map shows the geographic impact of Cuiqun Chen's research. 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 Cuiqun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiqun Chen more than expected).
Fields of papers citing papers by Cuiqun Chen
This network shows the impact of papers produced by Cuiqun Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cuiqun Chen. The network helps show where Cuiqun Chen may publish in the future.
Co-authorship network of co-authors of Cuiqun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Cuiqun Chen. A scholar is included among the top collaborators of Cuiqun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cuiqun Chen. Cuiqun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 25 | |
| 6 | 21 | |
| 7 | Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identificationbreakdown → | 157 |
| 8 | 29 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 93 | |
| 18 | 30 | |
| 19 | 50 | |
| 20 | 21 |
About Cuiqun Chen
Cuiqun Chen is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Water Science and Technology, having authored 28 papers that have together received 790 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Human Pose and Action Recognition (9 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Pollution (157 citations) and Water Science and Technology (141 citations). Cuiqun Chen has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Mang Ye, Meibin Qi, Jingjing Wu, Jianguo Jiang, Liying Bin, Fenglian Fu, Bing Tang, Shaosong Huang, Chia‐Wen Lin and Ling Shao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and Bioresource Technology.
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.