Zhenhua Chai
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- Face and Expression Recognition 14
- Face recognition and analysis 11
- Advanced Image and Video Retrieval Techniques 8
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
- Signal Processing top 5%
- Biometric Identification and Security 5
- Media Technology top 5%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 6
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- Lattice Boltzmann Simulation Studies 4
- Co-authors
- Shenqi LaiXiaolin WeiXiaoming WeiJunshi HuangMingyuan FanTieniu TanRan HeHeydi Méndez-Vázquez
- Journals
- Pattern Recognition (3 papers)IEEE Transactions on Image Processing (2 papers)International Journal of Computer Vision (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhenhua Chai
38 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 895
- Signal Processing 170
- Media Technology 131
- Experimental and Cognitive Psychology 111
- Artificial Intelligence 251
Countries citing papers authored by Zhenhua Chai
This map shows the geographic impact of Zhenhua Chai'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 Zhenhua Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenhua Chai more than expected).
Fields of papers citing papers by Zhenhua Chai
This network shows the impact of papers produced by Zhenhua Chai. 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 Zhenhua Chai. The network helps show where Zhenhua Chai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenhua Chai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 37 | |
| 10 | Rethinking BiSeNet For Real-time Semantic Segmentationbreakdown → | 2021 | 494 |
| 11 | 2021 | 29 | |
| 12 | 2021 | 0 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 32 | |
| 15 | Enhanced Normalized Mean Error loss for Robust Facial Landmark detection. | 2019 | 3 |
| 16 | 2019 | 3 | |
| 17 | 2016 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2014 | 6 | |
| 20 | 2013 | 94 |
About Zhenhua Chai
Zhenhua Chai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Artificial Intelligence and Computational Mechanics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Face recognition and analysis (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Biometric Identification and Security (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (895 citations), Signal Processing (170 citations), Media Technology (131 citations), Experimental and Cognitive Psychology (111 citations) and Artificial Intelligence (251 citations). Zhenhua Chai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shenqi Lai, Xiaolin Wei, Xiaoming Wei, Junshi Huang, Mingyuan Fan, Tieniu Tan, Ran He, Heydi Méndez-Vázquez, Zhenan Sun and Yan Yan. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, International Journal of Computer Vision, IEEE Transactions on Multimedia and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.