Zhenye Gan
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
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- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Chengjie Wang (9 shared papers)Lizhuang Ma (6 shared papers)Yabiao Wang (6 shared papers)Jiangning Zhang (5 shared papers)Ke Xu (1 shared paper)Bin-Bin Gao (2 shared papers)Guannan Jiang (1 shared paper)Shaohua Guo (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Neuropharmacology (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
In The Last Decade
Zhenye Gan
9 papers receiving 147 citations
Peers
Comparison fields: 5 of 37
- Media Technology 32
- Computer Vision and Pattern Recognition 62
- Artificial Intelligence 69
- Industrial and Manufacturing Engineering 11
- Biophysics 4
Countries citing papers authored by Zhenye Gan
This map shows the geographic impact of Zhenye Gan'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 Zhenye Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenye Gan more than expected).
Fields of papers citing papers by Zhenye Gan
This network shows the impact of papers produced by Zhenye Gan. 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 Zhenye Gan. The network helps show where Zhenye Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenye Gan, 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 | 2022 | 54 | |
| 2 | 2024 | 32 | |
| 3 | 2022 | 25 | |
| 4 | 2025 | 11 | |
| 5 | 2022 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2025 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 |
About Zhenye Gan
Zhenye Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 148 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers), Occupational Health and Safety Research (1 paper), Video Surveillance and Tracking Methods (1 paper) and Smart Grid Security and Resilience (1 paper). The work is most often cited by research in Media Technology (32 citations), Computer Vision and Pattern Recognition (62 citations), Artificial Intelligence (69 citations), Industrial and Manufacturing Engineering (11 citations) and Biophysics (4 citations). Zhenye Gan has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Chengjie Wang, Lizhuang Ma, Yabiao Wang, Jiangning Zhang, Ke Xu, Bin-Bin Gao, Guannan Jiang, Shaohua Guo, Liang Liu and Ran Yi. Their work appears in journals such as Pattern Recognition, Neuropharmacology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), DOAJ (DOAJ: Directory of Open Access Journals) and Proceedings of the Thirty-First International Joint Conference on Artificial 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.