Ming Tu
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech and Audio Processing 16
- Music and Audio Processing 9
- Blind Source Separation Techniques 4
-
- Speech Recognition and Synthesis 10
- Neural Networks and Applications 2
- Co-authors
- Visar Berisha (12 shared papers)Julie Liss (8 shared papers)Xianxian Zhang (1 shared paper)Kevin Huang (1 shared paper)Jing Huang (1 shared paper)Guangtao Wang (1 shared paper)Xiaodong He (1 shared paper)Bowen Zhou (1 shared paper)
- Journals
- Dyes and Pigments (1 paper)International journal of agricultural and biological engineering (1 paper)Buildings (1 paper)Energies (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Ming Tu
34 papers receiving 355 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 145
- Artificial Intelligence 238
- Experimental and Cognitive Psychology 78
- Physiology 66
- Computer Vision and Pattern Recognition 44
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2016 | 41 | |
| 3 | 2023 | 36 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 34 | |
| 6 | 2016 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 16 | |
| 10 | 2016 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2017 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2016 | 3 |
About Ming Tu
Ming Tu is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 35 papers that have together received 377 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (10 papers), Music and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (4 papers), Phonetics and Phonology Research (2 papers), Neural Networks and Applications (2 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Signal Processing (145 citations), Artificial Intelligence (238 citations), Experimental and Cognitive Psychology (78 citations), Physiology (66 citations) and Computer Vision and Pattern Recognition (44 citations). Ming Tu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Visar Berisha, Julie Liss, Xianxian Zhang, Kevin Huang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou, Haitao Chen and Shrikanth Narayanan. Their work appears in journals such as Dyes and Pigments, International journal of agricultural and biological engineering, Buildings, Energies 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.