Deyi Tuo

423 citations
10 papers · 235 · h-index 5

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

Journals
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2 papers)Interspeech 2022 (1 paper)

In The Last Decade

Deyi Tuo

9 papers receiving 219 citations

Peers

Deyi Tuo
Comparison fields: 5 of 26
  • Signal Processing 195
  • Artificial Intelligence 184
  • Computational Mathematics 1
  • Pharmacy 5
  • Computational Mechanics 24
Replace Byeong-Yeol Kim with:
Byeong-Yeol Kim South Korea
Bunlong Lay Germany
Peter Plantinga United States
Zelin Wu United States
Chenda Li China
Prashant Sridhar United States
Jean-Marie Lemercier Germany
Yang Ai China
Julien van Hout United States
Ladislav Mošner Czechia
Deyi Tuo relative to Byeong-Yeol Kim South Korea Byeong-Yeol Kim's profile →
Citations per field
00.5×1.7×
Byeong-Yeol Kim · 1×
Citations per year

Countries citing papers authored by Deyi Tuo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Deyi Tuo Line = papers co-authored together Deyi Tuo links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202278
2 202064
3 201849
4 202218
5 201915
6 20193
7 20193
8 20212
9 20222
10 20231

About Deyi Tuo

Deyi Tuo is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Insect Science, having authored 10 papers that have together received 235 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers), Topic Modeling (1 paper), Music Technology and Sound Studies (1 paper), Natural Language Processing Techniques (1 paper) and Advanced Adaptive Filtering Techniques (1 paper). The work is most often cited by research in Signal Processing (195 citations), Artificial Intelligence (184 citations), Computational Mathematics (1 citation), Pharmacy (5 citations) and Computational Mechanics (24 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, Helen M. L. Meng, Zhiyong Wu, Jun Chen, Zilin Wang, 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.

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