Chan-Su Lee
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Face and Expression Recognition
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 18
- Video Surveillance and Tracking Methods 9
- Advanced Vision and Imaging 8
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- Gait Recognition and Analysis 10
- Co-authors
- Ahmed Elgammal (13 shared papers)Ja-Soon Jang (4 shared papers)Muhammad Tahir Naseem (6 shared papers)Arnold J. Wilkins (2 shared papers)Marwan Torki (1 shared paper)Tom Foulsham (1 shared paper)Jong Sung Kim (1 shared paper)Zeungnam Bien (1 shared paper)
- Journals
- Lighting Research & Technology (5 papers)Sensors (3 papers)Computer Vision and Image Understanding (3 papers)Applied Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Chan-Su Lee
40 papers receiving 806 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 658
- Human-Computer Interaction 122
- Computational Mathematics 5
- Control and Systems Engineering 128
- Biomedical Engineering 203
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 270 | |
| 2 | 2004 | 126 | |
| 3 | 2007 | 73 | |
| 4 | 2009 | 49 | |
| 5 | 2007 | 37 | |
| 6 | 2004 | 30 | |
| 7 | 2002 | 29 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 23 | |
| 10 | 2013 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2015 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2006 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2008 | 6 | |
| 20 | 2024 | 5 |
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 Global and Planetary Change, having authored 48 papers that have together received 851 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (18 papers), Gait Recognition and Analysis (10 papers), Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (8 papers), Color perception and design (7 papers), Impact of Light on Environment and Health (7 papers), Ocular and Laser Science Research (5 papers) and Visual perception and processing mechanisms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (658 citations), Human-Computer Interaction (122 citations), Computational Mathematics (5 citations), Control and Systems Engineering (128 citations) and Biomedical Engineering (203 citations). Chan-Su Lee has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Ahmed Elgammal, Ja-Soon Jang, Muhammad Tahir Naseem, Arnold J. Wilkins, Marwan Torki, Tom Foulsham, Jong Sung Kim, Zeungnam Bien, Won Jang and Sung-Kwon Kim. Their work appears in journals such as Lighting Research & Technology, Sensors, Computer Vision and Image Understanding, Applied Sciences and Scientific Reports.
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.