Kan Chen
Impact in
-
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 3
-
- Domain Adaptation and Few-Shot Learning 6
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ram Nevatia (8 shared papers)Jiyang Gao (4 shared papers)Bichen Wu (3 shared papers)Zijian He (3 shared papers)Péter Vajda (3 shared papers)Peizhao Zhang (3 shared papers)Yuandong Tian (2 shared papers)Joseph E. Gonzalez (2 shared papers)
- Journals
- International Journal of Multimedia Information Retrieval (1 paper)Nature Medicine (1 paper)Journal of Humanistic Psychology (1 paper)IEEE Signal Processing Letters (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Kan Chen
23 papers receiving 604 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 475
- Artificial Intelligence 270
- Geology 35
- Media Technology 37
- Signal Processing 36
Countries citing papers authored by Kan Chen
This map shows the geographic impact of Kan Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Chen more than expected).
Fields of papers citing papers by Kan Chen
This network shows the impact of papers produced by Kan Chen. 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 Chen. The network helps show where Kan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Chen, 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 | 2020 | 187 | |
| 2 | 2018 | 128 | |
| 3 | 2013 | 65 | |
| 4 | 2021 | 63 | |
| 5 | 2017 | 27 | |
| 6 | 2013 | 23 | |
| 7 | 2019 | 20 | |
| 8 | 2009 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2025 | 15 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2016 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2016 | 5 | |
| 16 | 1976 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2015 | 1 |
About Kan Chen
Kan Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Social Psychology, having authored 23 papers that have together received 615 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Human Motion and Animation (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (475 citations), Artificial Intelligence (270 citations), Geology (35 citations), Media Technology (37 citations) and Signal Processing (36 citations). Kan Chen has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Ram Nevatia, Jiyang Gao, Bichen Wu, Zijian He, Péter Vajda, Peizhao Zhang, Yuandong Tian, Joseph E. Gonzalez, Matthew Yu and Xiaoliang Dai. Their work appears in journals such as International Journal of Multimedia Information Retrieval, Nature Medicine, Journal of Humanistic Psychology, IEEE Signal Processing Letters and Lecture notes in 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.