Ming Tu
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
Papers in
-
- Speech and Audio Processing 17
- Music and Audio Processing 9
- Blind Source Separation Techniques 4
-
- Speech Recognition and Synthesis 12
- Natural Language Processing Techniques 3
- Co-authors
- Visar Berisha (14 shared papers)Julie Liss (9 shared papers)Xiaodong He (2 shared papers)Guangtao Wang (2 shared papers)Bowen Zhou (2 shared papers)Jing Huang (2 shared papers)Xianxian Zhang (1 shared paper)Yun Tang (1 shared paper)
- Journals
- Neurocomputing (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)The Journal of the Acoustical Society of America (1 paper)Food Science & Nutrition (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesChinaTunisia
In The Last Decade
Ming Tu
38 papers receiving 585 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 205
- Artificial Intelligence 431
- Experimental and Cognitive Psychology 103
- Physiology 117
- Computer Vision and Pattern Recognition 83
Countries citing papers authored by Ming Tu
This map shows the geographic impact of Ming Tu'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 Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tu more than expected).
Fields of papers citing papers by Ming Tu
This network shows the impact of papers produced by Ming Tu. 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 Tu. The network helps show where Ming Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Tu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2020 | 80 | |
| 3 | 2018 | 60 | |
| 4 | 2016 | 50 | |
| 5 | 2023 | 49 | |
| 6 | 2020 | 41 | |
| 7 | 2017 | 37 | |
| 8 | 2016 | 33 | |
| 9 | 2017 | 28 | |
| 10 | 2018 | 26 | |
| 11 | 2015 | 17 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2017 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2014 | 4 |
About Ming Tu
Ming Tu is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 614 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (12 papers), Music and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (6 papers), Blind Source Separation Techniques (4 papers), Natural Language Processing Techniques (3 papers), Voice and Speech Disorders (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Signal Processing (205 citations), Artificial Intelligence (431 citations), Experimental and Cognitive Psychology (103 citations), Physiology (117 citations) and Computer Vision and Pattern Recognition (83 citations). Ming Tu has collaborated with scholars based in United States, China and Tunisia. Frequent co-authors include Visar Berisha, Julie Liss, Xiaodong He, Guangtao Wang, Bowen Zhou, Jing Huang, Xianxian Zhang, Yun Tang, Kevin J. Huang and Siyi Liu. Their work appears in journals such as Neurocomputing, IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, Food Science & Nutrition and International Journal of Molecular Sciences.
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.