Zhenqi Han
Impact in
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- Face and Expression Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
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- Emotion and Mood Recognition
Papers in
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- Advanced Neural Network Applications 5
- Image Enhancement Techniques 2
- Advanced Image Processing Techniques 2
- Co-authors
- Haoyu Xu (4 shared papers)Lizhuang Liu (12 shared papers)Yongxin Zhu (1 shared paper)Keke Zhang (1 shared paper)Xiaoqiang Li (1 shared paper)Kai Zhang (1 shared paper)Chunsheng Li (1 shared paper)Yuchun Fang (2 shared papers)
- Journals
- Applied Sciences (6 papers)IEEE Access (2 papers)Sustainability (1 paper)Industrial Crops and Products (1 paper)PeerJ Computer Science (1 paper)
- Partner nations
- China
In The Last Decade
Zhenqi Han
17 papers receiving 276 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 127
- Experimental and Cognitive Psychology 63
- Industrial and Manufacturing Engineering 41
- Civil and Structural Engineering 50
- Cancer Research 28
Countries citing papers authored by Zhenqi Han
This map shows the geographic impact of Zhenqi Han'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 Zhenqi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenqi Han more than expected).
Fields of papers citing papers by Zhenqi Han
This network shows the impact of papers produced by Zhenqi Han. 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 Zhenqi Han. The network helps show where Zhenqi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenqi Han, 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 | 2019 | 80 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 43 | |
| 4 | 2017 | 42 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Zhenqi Han
Zhenqi Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Polymers and Plastics, Industrial and Manufacturing Engineering and Molecular Biology, having authored 20 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Industrial Vision Systems and Defect Detection (3 papers), Polymer composites and self-healing (3 papers), Image Enhancement Techniques (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Advanced Image Processing Techniques (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Natural Fiber Reinforced Composites (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Experimental and Cognitive Psychology (63 citations), Industrial and Manufacturing Engineering (41 citations), Civil and Structural Engineering (50 citations) and Cancer Research (28 citations). Zhenqi Han has collaborated with scholars based in China. Frequent co-authors include Haoyu Xu, Lizhuang Liu, Yongxin Zhu, Keke Zhang, Xiaoqiang Li, Kai Zhang, Chunsheng Li, Yuchun Fang, Han Zhou and Songlin Feng. Their work appears in journals such as Applied Sciences, IEEE Access, Sustainability, Industrial Crops and Products and PeerJ Computer Science.
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.