Ming Li
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Speech Recognition and Synthesis 111
- Natural Language Processing Techniques 24
- Topic Modeling 17
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- Speech and Audio Processing 95
- Music and Audio Processing 70
- Co-authors
- Zhiding Yu (2 shared papers)Weiyang Liu (1 shared paper)Yandong Wen (1 shared paper)Bhiksha Raj (1 shared paper)Le Song (1 shared paper)Weicheng Cai (19 shared papers)Shrikanth Narayanan (15 shared papers)Jinkun Chen (3 shared papers)
- Journals
- Computer Speech & Language (9 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (8 papers)IEEE Transactions on Affective Computing (5 papers)Biomedical Signal Processing and Control (2 papers)Educational and Psychological Measurement (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
192 papers receiving 4.3k citations
Ming Li's Hit Papers
Peers
Comparison fields: 5 of 153
- Signal Processing 2.1k
- Computer Vision and Pattern Recognition 1.8k
- Artificial Intelligence 2.1k
- Experimental and Cognitive Psychology 377
- Human-Computer Interaction 78
Countries citing papers authored by Ming Li
This map shows the geographic impact of Ming 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 Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li more than expected).
Fields of papers citing papers by Ming Li
This network shows the impact of papers produced by Ming 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 Ming Li. The network helps show where Ming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SphereFace: Deep Hypersphere Embedding for Face Recognition Hit paper breakdown → | 2017 | 1788 |
| 2 | 2018 | 200 | |
| 3 | 2012 | 130 | |
| 4 | 2018 | 96 | |
| 5 | 2019 | 94 | |
| 6 | 2014 | 68 | |
| 7 | 2014 | 62 | |
| 8 | 2011 | 58 | |
| 9 | 2019 | 51 | |
| 10 | 2010 | 50 | |
| 11 | 2018 | 50 | |
| 12 | 2022 | 49 | |
| 13 | 2017 | 49 | |
| 14 | 2017 | 49 | |
| 15 | 2020 | 46 | |
| 16 | 2019 | 44 | |
| 17 | 2018 | 44 | |
| 18 | 2005 | 41 | |
| 19 | 2014 | 41 | |
| 20 | 2020 | 40 |
About Ming Li
Ming Li is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Physiology, having authored 210 papers that have together received 4.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (111 papers), Speech and Audio Processing (95 papers), Music and Audio Processing (70 papers), Natural Language Processing Techniques (24 papers), Topic Modeling (17 papers), Face and Expression Recognition (14 papers), Voice and Speech Disorders (14 papers) and Face recognition and analysis (14 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (2.1k citations), Experimental and Cognitive Psychology (377 citations) and Human-Computer Interaction (78 citations). Ming Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiding Yu, Weiyang Liu, Yandong Wen, Bhiksha Raj, Le Song, Weicheng Cai, Shrikanth Narayanan, Jinkun Chen, Danwei Cai and Xiaoyi Qin. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Affective Computing, Biomedical Signal Processing and Control and Educational and Psychological Measurement.
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.