Deyi Tuo
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in ⓘ
-
- Speech and Audio Processing 9
- Music and Audio Processing 8
-
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 1
- Topic Modeling 1
- Co-authors
- Shiyin Kang (6 shared papers)Dan Su (5 shared papers)Dong Yu (5 shared papers)Zilin Wang (1 shared paper)Zhiyong Wu (3 shared papers)Helen Meng (1 shared paper)Jun Chen (1 shared paper)Zhifeng Li (1 shared paper)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2 papers)Interspeech 2022 (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Deyi Tuo
9 papers receiving 187 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 168
- Artificial Intelligence 160
- Computational Mathematics 1
- Computational Mechanics 21
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Deyi Tuo
This map shows the geographic impact of Deyi Tuo'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 Deyi Tuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyi Tuo more than expected).
Fields of papers citing papers by Deyi Tuo
This network shows the impact of papers produced by Deyi Tuo. 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 Deyi Tuo. The network helps show where Deyi Tuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Deyi Tuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2020 | 56 | |
| 3 | 2018 | 44 | |
| 4 | 2019 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2023 | 0 |
About Deyi Tuo
Deyi Tuo is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Infectious Diseases, having authored 10 papers that have together received 200 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (9 papers), Music and Audio Processing (8 papers), Natural Language Processing Techniques (1 paper), Music Technology and Sound Studies (1 paper), Topic Modeling (1 paper) and Advanced Adaptive Filtering Techniques (1 paper). The work is most often cited by research in Signal Processing (168 citations), Artificial Intelligence (160 citations), Computational Mathematics (1 citation), Computational Mechanics (21 citations) and Computer Vision and Pattern Recognition (18 citations). Deyi Tuo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shiyin Kang, Dan Su, Dong Yu, Zilin Wang, Zhiyong Wu, Helen Meng, Jun Chen, Zhifeng Li, Na Li and Meng Yu. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.
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.