Jack M. Wang
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 Pose and Action Recognition 8
- Music Technology and Sound Studies 4
- Video Analysis and Summarization 3
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- Human Motion and Animation 9
- Co-authors
- David J. Fleet (7 shared papers)Aaron Hertzmann (7 shared papers)Vladlen Koltun (5 shared papers)Scott L. Delp (3 shared papers)Samuel R. Hamner (2 shared papers)Sergey Levine (2 shared papers)Zoran Popović (1 shared paper)Jennifer L. Hicks (1 shared paper)
- Journals
- ACM Transactions on Graphics (8 papers)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)The HKU Scholars Hub (University of Hong Kong) (2 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Jack M. Wang
13 papers receiving 865 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 537
- Control and Systems Engineering 567
- Physical Therapy, Sports Therapy and Rehabilitation 56
- Human-Computer Interaction 68
- Computer Graphics and Computer-Aided Design 33
Countries citing papers authored by Jack M. Wang
This map shows the geographic impact of Jack M. Wang'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 Jack M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack M. Wang more than expected).
Fields of papers citing papers by Jack M. Wang
This network shows the impact of papers produced by Jack M. Wang. 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 Jack M. Wang. The network helps show where Jack M. Wang may publish in the future.
Co-authors
The 12 scholars most cited alongside Jack M. Wang, 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 | 2012 | 199 | |
| 2 | 2009 | 133 | |
| 3 | 2012 | 109 | |
| 4 | 2007 | 86 | |
| 5 | 2010 | 80 | |
| 6 | 2015 | 80 | |
| 7 | 2013 | 53 | |
| 8 | 2012 | 44 | |
| 9 | 2008 | 44 | |
| 10 | 2009 | 30 | |
| 11 | 2012 | 20 | |
| 12 | 2010 | 12 | |
| 13 | 2010 | 2 |
About Jack M. Wang
Jack M. Wang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Artificial Intelligence, having authored 13 papers that have together received 892 indexed citations. Recurring topics across this work include Human Motion and Animation (9 papers), Human Pose and Action Recognition (8 papers), Music Technology and Sound Studies (4 papers), Robotic Locomotion and Control (4 papers), Video Analysis and Summarization (3 papers), Balance, Gait, and Falls Prevention (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (537 citations), Control and Systems Engineering (567 citations), Physical Therapy, Sports Therapy and Rehabilitation (56 citations), Human-Computer Interaction (68 citations) and Computer Graphics and Computer-Aided Design (33 citations). Jack M. Wang has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include David J. Fleet, Aaron Hertzmann, Vladlen Koltun, Scott L. Delp, Samuel R. Hamner, Sergey Levine, Zoran Popović, Jennifer L. Hicks, Tim W. Dorn and Emanuel Todorov. Their work appears in journals such as ACM Transactions on Graphics, PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The HKU Scholars Hub (University of Hong Kong).
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.