Mu-Chun Su
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
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- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 3
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- Neural Networks and Applications 3
- Co-authors
- Hsiao-Te Chang (1 shared paper)Jieh‐Haur Chen (5 shared papers)Gwo‐Dong Chen (2 shared papers)Ruijun Cao (1 shared paper)Jin‐Chun Lu (1 shared paper)Shu‐Chien Hsu (2 shared papers)Li-Ren Yang (1 shared paper)Ching‐Chang Wong (1 shared paper)
In The Last Decade
Mu-Chun Su
23 papers receiving 416 citations
Peers
Comparison fields: 5 of 105
- Human-Computer Interaction 73
- Computer Vision and Pattern Recognition 93
- Neurology 33
- Artificial Intelligence 126
- Civil and Structural Engineering 73
Countries citing papers authored by Mu-Chun Su
This map shows the geographic impact of Mu-Chun Su'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 Mu-Chun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu-Chun Su more than expected).
Fields of papers citing papers by Mu-Chun Su
This network shows the impact of papers produced by Mu-Chun Su. 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 Mu-Chun Su. The network helps show where Mu-Chun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu-Chun Su, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 68 | |
| 2 | 2001 | 62 | |
| 3 | 2016 | 46 | |
| 4 | 2009 | 35 | |
| 5 | 2001 | 34 | |
| 6 | 2006 | 23 | |
| 7 | 2005 | 22 | |
| 8 | 1994 | 21 | |
| 9 | 2012 | 18 | |
| 10 | 2001 | 14 | |
| 11 | 1999 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2003 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2010 | 8 | |
| 17 | 2000 | 8 | |
| 18 | 2013 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2021 | 5 |
About Mu-Chun Su
Mu-Chun Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Control and Systems Engineering and Biomedical Engineering, having authored 23 papers that have together received 437 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (3 papers), Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Glaucoma and retinal disorders (2 papers), Hand Gesture Recognition Systems (2 papers), Gait Recognition and Analysis (2 papers), Diabetes Management and Research (1 paper) and Advanced machining processes and optimization (1 paper). The work is most often cited by research in Human-Computer Interaction (73 citations), Computer Vision and Pattern Recognition (93 citations), Neurology (33 citations), Artificial Intelligence (126 citations) and Civil and Structural Engineering (73 citations). Mu-Chun Su has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Hsiao-Te Chang, Jieh‐Haur Chen, Gwo‐Dong Chen, Ruijun Cao, Jin‐Chun Lu, Shu‐Chien Hsu, Li-Ren Yang, Ching‐Chang Wong, Shih‐Ching Yeh and Pa‐Chun Wang. Their work appears in journals such as Automation in Construction, Sensors, Journal of Housing and the Built Environment, Electric Power Systems Research and Disability and Rehabilitation.
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.