Ming Chuang
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Human Pose and Action Recognition
Papers in
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- 3D Shape Modeling and Analysis 11
- Advanced Numerical Analysis Techniques 4
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- Computer Graphics and Visualization Techniques 11
- Co-authors
- Hugues Hoppe (6 shared papers)Misha Kazhdan (6 shared papers)Alvaro Collet (3 shared papers)Adam G. Kirk (1 shared paper)Steve Sullivan (1 shared paper)David Calabrese (1 shared paper)P. Sweeney (1 shared paper)Michael Kazhdan (5 shared papers)
- Journals
- ACM Transactions on Graphics (5 papers)Computer Graphics Forum (3 papers)Appetite (1 paper)Medical Physics (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Ming Chuang
14 papers receiving 1.0k citations
Ming Chuang's Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Graphics and Computer-Aided Design 339
- Computer Vision and Pattern Recognition 581
- Radiation 223
- Computational Mechanics 394
- Geology 73
Countries citing papers authored by Ming Chuang
This map shows the geographic impact of Ming Chuang'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 Ming Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Chuang more than expected).
Fields of papers citing papers by Ming Chuang
This network shows the impact of papers produced by Ming Chuang. 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 Ming Chuang. The network helps show where Ming Chuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Chuang, 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 | High-quality streamable free-viewpoint video Hit paper breakdown → | 2015 | 427 |
| 2 | 2009 | 245 | |
| 3 | 2020 | 73 | |
| 4 | 2009 | 69 | |
| 5 | 2009 | 61 | |
| 6 | 2018 | 40 | |
| 7 | 2017 | 26 | |
| 8 | 2016 | 26 | |
| 9 | 2018 | 17 | |
| 10 | 2011 | 17 | |
| 11 | 2011 | 15 | |
| 12 | 2011 | 13 | |
| 13 | 2016 | 5 | |
| 14 | 2009 | 1 |
About Ming Chuang
Ming Chuang is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Numerical Analysis Techniques (4 papers), Advanced Vision and Imaging (3 papers), Diet and metabolism studies (1 paper), Regulation of Appetite and Obesity (1 paper), Advanced Radiotherapy Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (339 citations), Computer Vision and Pattern Recognition (581 citations), Radiation (223 citations), Computational Mechanics (394 citations) and Geology (73 citations). Ming Chuang has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Hugues Hoppe, Misha Kazhdan, Alvaro Collet, Adam G. Kirk, Steve Sullivan, David Calabrese, P. Sweeney, Michael Kazhdan, Robert Jacques and Patricio Simari. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Appetite, Medical Physics 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.