Kai Jin
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Face recognition and analysis 5
- Video Surveillance and Tracking Methods 3
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
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- Advanced Battery Materials and Technologies 2
- Advanced battery technologies research 2
- Co-authors
- Xiuzhuang Zhou (4 shared papers)Guodong Guo (2 shared papers)Yuanyuan Shang (2 shared papers)Min Xu (4 shared papers)Jueqi Guan (1 shared paper)Liang-Hui Wang (1 shared paper)Gwo‐Jen Hwang (1 shared paper)Dongyu Liu (1 shared paper)
- Journals
- Water Research (2 papers)Advanced Science (1 paper)Scientific Reports (1 paper)Interactive Learning Environments (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Jin
20 papers receiving 425 citations
Peers
Comparison fields: 5 of 87
- Experimental and Cognitive Psychology 165
- Computer Vision and Pattern Recognition 169
- Human-Computer Interaction 33
- Applied Psychology 19
- Signal Processing 37
Countries citing papers authored by Kai Jin
This map shows the geographic impact of Kai Jin'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 Kai Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Jin more than expected).
Fields of papers citing papers by Kai Jin
This network shows the impact of papers produced by Kai Jin. 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 Kai Jin. The network helps show where Kai Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Jin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 198 | |
| 2 | 2018 | 57 | |
| 3 | 2021 | 55 | |
| 4 | 2018 | 29 | |
| 5 | 2024 | 25 | |
| 6 | 2017 | 15 | |
| 7 | 2009 | 10 | |
| 8 | 2025 | 9 | |
| 9 | 2025 | 8 | |
| 10 | 2025 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2003 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Kai Jin
Kai Jin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering, Social Psychology and Pollution, having authored 23 papers that have together received 435 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Video Surveillance and Tracking Methods (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Battery Materials and Technologies (2 papers), Advanced Vision and Imaging (2 papers), Advanced battery technologies research (2 papers), Gait Recognition and Analysis (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (165 citations), Computer Vision and Pattern Recognition (169 citations), Human-Computer Interaction (33 citations), Applied Psychology (19 citations) and Signal Processing (37 citations). Kai Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiuzhuang Zhou, Guodong Guo, Yuanyuan Shang, Min Xu, Jueqi Guan, Liang-Hui Wang, Gwo‐Jen Hwang, Dongyu Liu, Weiwei Cui and Yuxiao Guo. Their work appears in journals such as Water Research, Advanced Science, Scientific Reports, Interactive Learning Environments 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.