Zenghai Chen
Impact in
-
- Emotion and Mood Recognition
-
- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 5
- Face and Expression Recognition 3
- Face recognition and analysis 3
-
- Neural Networks and Applications 5
- Co-authors
- Zheru Chi (15 shared papers)Hong Fu (14 shared papers)Junkai Chen (3 shared papers)Yunong Zhang (5 shared papers)Wai‐Lun Lo (2 shared papers)Dagan Feng (4 shared papers)Ke Chen (2 shared papers)Binghuang Cai (2 shared papers)
In The Last Decade
Zenghai Chen
22 papers receiving 523 citations
Peers
Comparison fields: 5 of 62
- Experimental and Cognitive Psychology 211
- Computer Vision and Pattern Recognition 281
- Computational Mathematics 6
- Human-Computer Interaction 53
- Ophthalmology 45
Countries citing papers authored by Zenghai Chen
This map shows the geographic impact of Zenghai 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 Zenghai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zenghai Chen more than expected).
Fields of papers citing papers by Zenghai Chen
This network shows the impact of papers produced by Zenghai 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 Zenghai Chen. The network helps show where Zenghai Chen may publish in the future.
Co-authors
The 21 scholars most cited alongside Zenghai Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 181 | |
| 2 | 2014 | 81 | |
| 3 | 2018 | 65 | |
| 4 | 2012 | 53 | |
| 5 | 2009 | 25 | |
| 6 | 2009 | 21 | |
| 7 | 2008 | 20 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 12 | |
| 10 | 2015 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2008 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2010 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2011 | 3 |
About Zenghai Chen
Zenghai Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Control and Systems Engineering, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Retinal Imaging and Analysis (5 papers), Neural Networks and Applications (5 papers), Image Retrieval and Classification Techniques (5 papers), Emotion and Mood Recognition (4 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers) and Robotic Mechanisms and Dynamics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (211 citations), Computer Vision and Pattern Recognition (281 citations), Computational Mathematics (6 citations), Human-Computer Interaction (53 citations) and Ophthalmology (45 citations). Zenghai Chen has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Zheru Chi, Hong Fu, Junkai Chen, Yunong Zhang, Wai‐Lun Lo, Dagan Feng, Ke Chen, Binghuang Cai, Ke Chen and Hui Zhang. Their work appears in journals such as IEEE Transactions on Affective Computing, Neurocomputing, Electronics Letters, Lecture notes in computer science and Acta Automatica Sinica.
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.