Mingui Sun
Impact in
-
- Advanced Neural Network Applications
- Context-Aware Activity Recognition Systems
- Advanced Vision and Imaging
- Health Informatics top 5%
Papers in
-
- Advanced Vision and Imaging 29
- Context-Aware Activity Recognition Systems 21
- Advanced Neural Network Applications 19
-
- EEG and Brain-Computer Interfaces 35
- Co-authors
- Robert J. Sclabassi (134 shared papers)Wenyan Jia (118 shared papers)Zhi‐Hong Mao (68 shared papers)W. N. Fu (15 shared papers)Steven A. Hackworth (17 shared papers)Chengliu Li (12 shared papers)Junhua Wang (13 shared papers)S. L. Ho (10 shared papers)
- Journals
- IEEE Transactions on Magnetics (13 papers)Neurocomputing (7 papers)Public Health Nutrition (6 papers)Sensors (5 papers)AIP Advances (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Mingui Sun
323 papers receiving 5k citations
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 1.5k
- Health Informatics 86
- Nutrition and Dietetics 392
- Electrical and Electronic Engineering 1.2k
- Cognitive Neuroscience 375
Countries citing papers authored by Mingui Sun
This map shows the geographic impact of Mingui Sun'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 Mingui Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingui Sun more than expected).
Fields of papers citing papers by Mingui Sun
This network shows the impact of papers produced by Mingui Sun. 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 Mingui Sun. The network helps show where Mingui Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingui Sun, 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 336 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 220 | |
| 2 | 2011 | 168 | |
| 3 | 2011 | 166 | |
| 4 | 2009 | 136 | |
| 5 | 2014 | 119 | |
| 6 | 2009 | 105 | |
| 7 | 2014 | 92 | |
| 8 | 2013 | 91 | |
| 9 | 2010 | 88 | |
| 10 | 2018 | 82 | |
| 11 | 2017 | 80 | |
| 12 | 2013 | 67 | |
| 13 | 2020 | 64 | |
| 14 | 1994 | 57 | |
| 15 | 2015 | 57 | |
| 16 | 2011 | 56 | |
| 17 | 2011 | 55 | |
| 18 | 2019 | 55 | |
| 19 | 2009 | 54 | |
| 20 | 2020 | 52 |
About Mingui Sun
Mingui Sun is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Nutrition and Dietetics, Media Technology and Biomedical Engineering, having authored 336 papers that have together received 5.2k indexed citations. Recurring topics across this work include Wireless Power Transfer Systems (38 papers), EEG and Brain-Computer Interfaces (35 papers), Advanced Vision and Imaging (29 papers), Nutrition, Health and Food Behavior (25 papers), Context-Aware Activity Recognition Systems (21 papers), Advanced Neural Network Applications (19 papers), Wireless Body Area Networks (16 papers) and Image Processing Techniques and Applications (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Health Informatics (86 citations), Nutrition and Dietetics (392 citations), Electrical and Electronic Engineering (1.2k citations) and Cognitive Neuroscience (375 citations). Mingui Sun has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Robert J. Sclabassi, Wenyan Jia, Zhi‐Hong Mao, W. N. Fu, Steven A. Hackworth, Chengliu Li, Junhua Wang, S. L. Ho, John D. Fernstrom and Hongshan Yu. Their work appears in journals such as IEEE Transactions on Magnetics, Neurocomputing, Public Health Nutrition, Sensors and AIP Advances.
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.