Zezhi Chen
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Automotive Engineering top 10%
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Tim EllisSergio A. VelastínNick PearsJim AustinChengke WuLi TangBojian LiangMichael Berks
- Topics
- Video Surveillance and Tracking Methods (12 papers)Advanced Vision and Imaging (11 papers)Optical measurement and interference techniques (5 papers)
- Journals
- Pattern Recognition LettersImage and Vision ComputingComputer Vision and Image Understanding
- Partner nations
- United KingdomChinaSpain
In The Last Decade
Zezhi Chen
25 papers receiving 550 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 484
- Media Technology 155
- Automotive Engineering 97
- Artificial Intelligence 69
- Aerospace Engineering 65
Countries citing papers authored by Zezhi Chen
This map shows the geographic impact of Zezhi 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 Zezhi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zezhi Chen more than expected).
Fields of papers citing papers by Zezhi Chen
This network shows the impact of papers produced by Zezhi 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 Zezhi Chen. The network helps show where Zezhi Chen may publish in the future.
Co-authorship network of co-authors of Zezhi Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zezhi Chen. A scholar is included among the top collaborators of Zezhi 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 Zezhi Chen. Zezhi 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 | 0 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 127 | |
| 8 | 21 | |
| 9 | 14 | |
| 10 | 31 | |
| 11 | 48 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | Face Recognition: A Comparison of Appearance-Based Approaches | 33 |
| 19 | Epipole Estimation under Pure Camera Translation | 11 |
| 20 | 8 |
About Zezhi Chen
Zezhi Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 26 papers that have together received 595 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Advanced Vision and Imaging (11 papers) and Optical measurement and interference techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (484 citations), Media Technology (155 citations) and Automotive Engineering (97 citations). Zezhi Chen has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include Tim Ellis, Sergio A. Velastín, Nick Pears, Jim Austin, Chengke Wu, Li Tang, Bojian Liang, Michael Berks, Sue Astley and Andrew Wallace. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing and Computer Vision and Image Understanding.
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.