Ming Sun
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Speech Recognition and Synthesis 12
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 5
-
- Advanced Neural Network Applications 8
- Music Technology and Sound Studies 5
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Donna B. Stolz (20 shared papers)Spyros Matsoukas (7 shared papers)Junjie Yan (8 shared papers)Chieh-Chi Kao (11 shared papers)Shiv Vitaladevuni (5 shared papers)Chao Wang (10 shared papers)Sankaran Panchapagesan (2 shared papers)Dario A.A. Vignali (1 shared paper)
- Journals
- Communications Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Bioconjugate Chemistry (2 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ming Sun
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 151
- Signal Processing 292
- Neurology 171
- Computer Vision and Pattern Recognition 269
- Developmental Neuroscience 49
- Cancer Research 171
Countries citing papers authored by Ming Sun
This map shows the geographic impact of Ming 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 Ming Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Sun more than expected).
Fields of papers citing papers by Ming Sun
This network shows the impact of papers produced by Ming 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 Ming Sun. The network helps show where Ming Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 279 | |
| 2 | 2020 | 113 | |
| 3 | 2016 | 92 | |
| 4 | 2017 | 86 | |
| 5 | 2017 | 73 | |
| 6 | 2013 | 62 | |
| 7 | 2021 | 61 | |
| 8 | 2022 | 57 | |
| 9 | 2012 | 56 | |
| 10 | 2016 | 50 | |
| 11 | 2014 | 48 | |
| 12 | 2016 | 44 | |
| 13 | 2014 | 44 | |
| 14 | 2013 | 42 | |
| 15 | 2018 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2020 | 38 | |
| 18 | 2016 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2020 | 35 |
About Ming Sun
Ming Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Plant Science, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Music and Audio Processing (18 papers), Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (12 papers), Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (5 papers), Music Technology and Sound Studies (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Signal Processing (292 citations), Neurology (171 citations), Computer Vision and Pattern Recognition (269 citations), Developmental Neuroscience (49 citations) and Cancer Research (171 citations). Ming Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Donna B. Stolz, Spyros Matsoukas, Junjie Yan, Chieh-Chi Kao, Shiv Vitaladevuni, Chao Wang, Sankaran Panchapagesan, Dario A.A. Vignali, Ashley V. Menk and Greg M. Delgoffe. Their work appears in journals such as Communications Biology, Proceedings of the National Academy of Sciences, Nature Communications, Bioconjugate Chemistry and Pattern Recognition Letters.
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.