Jungdam Won
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
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- Human Motion and Animation
- Robot Manipulation and Learning
Papers in
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- Human Motion and Animation 24
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- Human Pose and Action Recognition 21
- Video Analysis and Summarization 9
- Music Technology and Sound Studies 2
- Co-authors
- Jessica K. Hodgins (7 shared papers)Jehee Lee (9 shared papers)Deepak Gopinath (6 shared papers)Jehee Lee (1 shared paper)Jong-Ho Park (1 shared paper)Carol O’Sullivan (1 shared paper)Yuting Ye (4 shared papers)Kyungho Lee (1 shared paper)
- Journals
- ACM Transactions on Graphics (11 papers)Robotics (1 paper)Computer Graphics Forum (1 paper)Pattern Recognition (1 paper)Proceedings of the ACM on Computer Graphics and Interactive Techniques (1 paper)
- Partner nations
- South KoreaUnited StatesIsrael
In The Last Decade
Jungdam Won
27 papers receiving 607 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 442
- Control and Systems Engineering 462
- Computer Graphics and Computer-Aided Design 32
- Human-Computer Interaction 29
- Ocean Engineering 56
Countries citing papers authored by Jungdam Won
This map shows the geographic impact of Jungdam Won'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 Jungdam Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungdam Won more than expected).
Fields of papers citing papers by Jungdam Won
This network shows the impact of papers produced by Jungdam Won. 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 Jungdam Won. The network helps show where Jungdam Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Jungdam Won, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2019 | 63 | |
| 3 | 2022 | 56 | |
| 4 | 2019 | 51 | |
| 5 | 2021 | 49 | |
| 6 | 2018 | 45 | |
| 7 | 2014 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2013 | 33 | |
| 10 | 2018 | 25 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Jungdam Won
Jungdam Won is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 620 indexed citations. Recurring topics across this work include Human Motion and Animation (24 papers), Human Pose and Action Recognition (21 papers), Video Analysis and Summarization (9 papers), 3D Shape Modeling and Analysis (7 papers), Artificial Intelligence in Games (3 papers), Music Technology and Sound Studies (2 papers), Computer Graphics and Visualization Techniques (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (442 citations), Control and Systems Engineering (462 citations), Computer Graphics and Computer-Aided Design (32 citations), Human-Computer Interaction (29 citations) and Ocean Engineering (56 citations). Jungdam Won has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Jessica K. Hodgins, Jehee Lee, Deepak Gopinath, Jehee Lee, Jong-Ho Park, Carol O’Sullivan, Yuting Ye, Kyungho Lee, Min Gyu Choi and Junyong Noh. Their work appears in journals such as ACM Transactions on Graphics, Robotics, Computer Graphics Forum, Pattern Recognition and Proceedings of the ACM on Computer Graphics and Interactive Techniques.
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.