Chan-Su Lee
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Face and Expression Recognition
- Face recognition and analysis
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 21
- Advanced Vision and Imaging 9
- Video Surveillance and Tracking Methods 9
- Face recognition and analysis 8
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- Gait Recognition and Analysis 11
- Co-authors
- Ahmed Elgammal (16 shared papers)Dimitris Samaras (3 shared papers)Zhiguo Li (1 shared paper)Dimitris Metaxas (1 shared paper)Song Zhang (1 shared paper)Peisen S. Huang (1 shared paper)Xiaolei Huang (1 shared paper)Yang Wang (1 shared paper)
- Journals
- Lighting Research & Technology (5 papers)Sensors (3 papers)Computer Vision and Image Understanding (3 papers)Applied Sciences (2 papers)Computer Graphics Forum (1 paper)
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Chan-Su Lee
46 papers receiving 972 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 813
- Human-Computer Interaction 139
- Computational Mathematics 6
- Control and Systems Engineering 158
- Signal Processing 57
Countries citing papers authored by Chan-Su Lee
This map shows the geographic impact of Chan-Su Lee'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 Chan-Su Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan-Su Lee more than expected).
Fields of papers citing papers by Chan-Su Lee
This network shows the impact of papers produced by Chan-Su Lee. 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 Chan-Su Lee. The network helps show where Chan-Su Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan-Su Lee, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 271 | |
| 2 | 2004 | 126 | |
| 3 | 2004 | 93 | |
| 4 | 2007 | 73 | |
| 5 | 2009 | 49 | |
| 6 | 2007 | 37 | |
| 7 | 2016 | 33 | |
| 8 | 2004 | 30 | |
| 9 | 2002 | 29 | |
| 10 | 2019 | 25 | |
| 11 | 2014 | 23 | |
| 12 | 2006 | 21 | |
| 13 | 2013 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2015 | 18 | |
| 17 | 2013 | 16 | |
| 18 | 2006 | 15 | |
| 19 | 2006 | 11 | |
| 20 | 2022 | 10 |
About Chan-Su Lee
Chan-Su Lee is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Social Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (21 papers), Gait Recognition and Analysis (11 papers), Advanced Vision and Imaging (9 papers), Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (8 papers), Color perception and design (7 papers), Impact of Light on Environment and Health (7 papers) and Ocular and Laser Science Research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (813 citations), Human-Computer Interaction (139 citations), Computational Mathematics (6 citations), Control and Systems Engineering (158 citations) and Signal Processing (57 citations). Chan-Su Lee has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Ahmed Elgammal, Dimitris Samaras, Zhiguo Li, Dimitris Metaxas, Song Zhang, Peisen S. Huang, Xiaolei Huang, Yang Wang, Muhammad Tahir Naseem and Arnold J. Wilkins. Their work appears in journals such as Lighting Research & Technology, Sensors, Computer Vision and Image Understanding, Applied Sciences and Computer Graphics Forum.
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.