Jin Zhan
Impact in
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- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Human-Computer Interaction top 10%
Papers in
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- Human Pose and Action Recognition 9
- Video Surveillance and Tracking Methods 8
- Advanced Image and Video Retrieval Techniques 5
- Visual Attention and Saliency Detection 4
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- Laser-induced spectroscopy and plasma 6
- Co-authors
- Huimin Zhao (7 shared papers)Junwei Han (1 shared paper)Stephen Marshall (1 shared paper)Genyun Sun (1 shared paper)Yijun Yan (1 shared paper)Xuelong Li (1 shared paper)Jinchang Ren (2 shared papers)Rongjun Chen (4 shared papers)
- Journals
- The Visual Computer (3 papers)Pattern Recognition (2 papers)Scientific Reports (2 papers)Applied Physics Express (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Jin Zhan
21 papers receiving 237 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 162
- Human-Computer Interaction 27
- Media Technology 36
- Nuclear and High Energy Physics 33
- Sensory Systems 7
Countries citing papers authored by Jin Zhan
This map shows the geographic impact of Jin Zhan'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 Jin Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhan more than expected).
Fields of papers citing papers by Jin Zhan
This network shows the impact of papers produced by Jin Zhan. 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 Jin Zhan. The network helps show where Jin Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Zhan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2021 | 50 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 13 | |
| 5 | 2021 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2014 | 10 | |
| 8 | 2014 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2006 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2012 | 1 |
About Jin Zhan
Jin Zhan is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 29 papers that have together received 245 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (8 papers), Laser-induced spectroscopy and plasma (6 papers), Laser-Plasma Interactions and Diagnostics (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Visual Attention and Saliency Detection (4 papers), Laser-Matter Interactions and Applications (4 papers) and Gait Recognition and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Human-Computer Interaction (27 citations), Media Technology (36 citations), Nuclear and High Energy Physics (33 citations) and Sensory Systems (7 citations). Jin Zhan has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Huimin Zhao, Junwei Han, Stephen Marshall, Genyun Sun, Yijun Yan, Xuelong Li, Jinchang Ren, Rongjun Chen, Xiaonan Luo and Hefeng Wu. Their work appears in journals such as The Visual Computer, Pattern Recognition, Scientific Reports, Applied Physics Express and Neurocomputing.
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.