Mingyang Li
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Signal Processing top 1%
- Blind Source Separation Techniques
Papers in
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- EEG and Brain-Computer Interfaces 34
- Neural dynamics and brain function 6
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- Blind Source Separation Techniques 25
- Co-authors
- Wanzhong Chen (29 shared papers)Tao Zhang (12 shared papers)Tao Zhang (2 shared papers)Yun Jiang (8 shared papers)Tao Zhang (7 shared papers)Yang You (3 shared papers)Xiaoying Sun (2 shared papers)You Yang (2 shared papers)
In The Last Decade
Mingyang Li
43 papers receiving 1.2k citations
Mingyang Li's Hit Papers
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 972
- Signal Processing 506
- Human-Computer Interaction 77
- Cardiology and Cardiovascular Medicine 268
- Experimental and Cognitive Psychology 119
Countries citing papers authored by Mingyang Li
This map shows the geographic impact of Mingyang 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 Mingyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Li more than expected).
Fields of papers citing papers by Mingyang Li
This network shows the impact of papers produced by Mingyang 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 Mingyang Li. The network helps show where Mingyang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyang 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 134 | |
| 2 | 2016 | 131 | |
| 3 | EEG emotion recognition using attention-based convolutional transformer neural network Hit paper breakdown → | 2023 | 82 |
| 4 | 2017 | 82 | |
| 5 | 2017 | 79 | |
| 6 | 2019 | 71 | |
| 7 | 2018 | 62 | |
| 8 | 2021 | 53 | |
| 9 | 2019 | 51 | |
| 10 | 2016 | 48 | |
| 11 | 2021 | 38 | |
| 12 | 2018 | 37 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 34 | |
| 15 | 2017 | 33 | |
| 16 | 2023 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2020 | 21 | |
| 20 | 2018 | 18 |
About Mingyang Li
Mingyang Li is a scholar working on Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Molecular Biology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (34 papers), Blind Source Separation Techniques (25 papers), ECG Monitoring and Analysis (9 papers), Neural dynamics and brain function (6 papers), Neural Networks and Applications (6 papers), Advanced Memory and Neural Computing (4 papers), Emotion and Mood Recognition (4 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Cognitive Neuroscience (972 citations), Signal Processing (506 citations), Human-Computer Interaction (77 citations), Cardiology and Cardiovascular Medicine (268 citations) and Experimental and Cognitive Psychology (119 citations). Mingyang Li has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Wanzhong Chen, Tao Zhang, Tao Zhang, Yun Jiang, Tao Zhang, Tao Zhang, Yang You, Xiaoying Sun, You Yang and Yang You. Their work appears in journals such as Biomedical Signal Processing and Control, Journal of Applied Biomedicine, iScience, IEEE Journal of Biomedical and Health Informatics and Neuroscience.
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.