Mingchen Li
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
Papers in
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- Topic Modeling 4
- Machine Learning and Algorithms 2
- Advanced Graph Neural Networks 2
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- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 2
- Co-authors
- Rui Zhang (5 shared papers)Yan Qiu Chen (3 shared papers)Guyue Zhang (3 shared papers)Jun Liu (2 shared papers)Hua Xu (1 shared paper)Halil Kilicoglu (1 shared paper)Samet Oymak (2 shared papers)Dingkang Yang (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (4 papers)Journal of Biomedical Informatics (2 papers)npj Digital Medicine (1 paper)Frontiers in Chemistry (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Mingchen Li
22 papers receiving 185 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 9
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 67
- Analytical Chemistry 12
- Human-Computer Interaction 6
Countries citing papers authored by Mingchen Li
This map shows the geographic impact of Mingchen Li'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 Mingchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingchen Li more than expected).
Fields of papers citing papers by Mingchen Li
This network shows the impact of papers produced by Mingchen Li. 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 Mingchen Li. The network helps show where Mingchen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingchen Li, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 28 | |
| 2 | 2018 | 27 | |
| 3 | 2025 | 19 | |
| 4 | 2020 | 18 | |
| 5 | 2024 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2024 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2024 | 7 | |
| 10 | Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks | 2019 | 6 |
| 11 | 2019 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 1 |
About Mingchen Li
Mingchen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Environmental Engineering and Analytical Chemistry, having authored 24 papers that have together received 189 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Topic Modeling (4 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers), Machine Learning and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Dye analysis and toxicity (2 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (47 citations), Artificial Intelligence (67 citations), Analytical Chemistry (12 citations) and Human-Computer Interaction (6 citations). Mingchen Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Rui Zhang, Yan Qiu Chen, Guyue Zhang, Jun Liu, Hua Xu, Halil Kilicoglu, Samet Oymak, Dingkang Yang, Lihua Zhang and Peng Zhai. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, npj Digital Medicine, Frontiers in Chemistry and IEEE Transactions on Multimedia.
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.