Kan Jin
Impact in
-
- Face and Expression Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
-
- Emotion and Mood Recognition
Papers in
-
- Advanced SAR Imaging Techniques 4
- Synthetic Aperture Radar (SAR) Applications and Techniques 4
-
- Optical measurement and interference techniques 1
- Image and Signal Denoising Methods 1
- Co-authors
- Jing Li (1 shared paper)Dalin Zhou (1 shared paper)Zhaojie Ju (1 shared paper)Naoyuki Kubota (1 shared paper)Jian Yang (3 shared papers)Jian Yang (4 shared papers)Junjun Yin (2 shared papers)Hang Chen (2 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (4 papers)Sensors (1 paper)IET Radar Sonar & Navigation (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kan Jin
9 papers receiving 436 citations
Kan Jin's Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 226
- Experimental and Cognitive Psychology 122
- Aerospace Engineering 154
- Media Technology 46
- Urban Studies 22
Countries citing papers authored by Kan Jin
This map shows the geographic impact of Kan 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 Kan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Jin more than expected).
Fields of papers citing papers by Kan Jin
This network shows the impact of papers produced by Kan 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 Kan Jin. The network helps show where Kan Jin may publish in the future.
Co-authors
The 23 scholars most cited alongside Kan 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
| # | Work | ||
|---|---|---|---|
| 1 | Attention mechanism-based CNN for facial expression recognition Hit paper breakdown → | 2020 | 239 |
| 2 | 2020 | 68 | |
| 3 | 2019 | 56 | |
| 4 | 2016 | 36 | |
| 5 | 2019 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 5 | |
| 9 | 2019 | 1 |
About Kan Jin
Kan Jin is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Media Technology, Ocean Engineering and Biomedical Engineering, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers), Remote-Sensing Image Classification (2 papers), Geophysical Methods and Applications (2 papers), Optical Systems and Laser Technology (1 paper), Optical measurement and interference techniques (1 paper), Microwave Imaging and Scattering Analysis (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Experimental and Cognitive Psychology (122 citations), Aerospace Engineering (154 citations), Media Technology (46 citations) and Urban Studies (22 citations). Kan Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jing Li, Dalin Zhou, Zhaojie Ju, Naoyuki Kubota, Jian Yang, Jian Yang, Junjun Yin, Hang Chen, Liang Zeng and Bin Xu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors, IET Radar Sonar & Navigation, IEEE Geoscience and Remote Sensing Letters 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.