Yusuke Yasuda

408 citations
15 papers · 226 · h-index 7

Impact in

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

Papers in

    • Speech Recognition and Synthesis 13
    • Natural Language Processing Techniques 9
    • Speech and dialogue systems 4
    • Topic Modeling 3
    • Evolutionary Algorithms and Applications 1
    • Speech and Audio Processing 4
    • Music and Audio Processing 2

Yusuke Yasuda

13 papers receiving 205 citations

Peers

Yusuke Yasuda
Comparison fields: 5 of 20
  • Signal Processing 138
  • Artificial Intelligence 203
  • Experimental and Cognitive Psychology 13
  • Computer Vision and Pattern Recognition 15
  • Occupational Therapy 1
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Citations per field
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Citations per year

Countries citing papers authored by Yusuke Yasuda

Since Specialization
Citations

This map shows the geographic impact of Yusuke Yasuda'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 Yusuke Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Yasuda more than expected).

Fields of papers citing papers by Yusuke Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yusuke Yasuda. 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 Yusuke Yasuda. The network helps show where Yusuke Yasuda may publish in the future.

Co-authors

The 8 scholars most cited alongside Yusuke Yasuda, 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 Yusuke Yasuda Line = papers co-authored together Yusuke Yasuda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020101
2 201956
3 202014
4 202013
5 20198
6 20227
7 20217
8 20205
9 20194
10 20234
11 20203
12 20232
13
Lexical pitch accent and duration modeling for neural end-to-end text-to-speech synthesis
20211
14 20241
15 20250

About Yusuke Yasuda

Yusuke Yasuda is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computational Theory and Mathematics and Infectious Diseases, having authored 15 papers that have together received 226 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (9 papers), Speech and Audio Processing (4 papers), Speech and dialogue systems (4 papers), Topic Modeling (3 papers), Phonetics and Phonology Research (2 papers), Music and Audio Processing (2 papers) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Signal Processing (138 citations), Artificial Intelligence (203 citations), Experimental and Cognitive Psychology (13 citations), Computer Vision and Pattern Recognition (15 citations) and Occupational Therapy (1 citation). Yusuke Yasuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Junichi Yamagishi, Xin Wang, Erica Cooper, Cheng-I Lai, Shinji Takaki, Fuming Fang, Nanxin Chen and Tomoki Toda. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Computer Speech & Language, IEEE Access, arXiv (Cornell University) and Edinburgh Research Explorer (University of Edinburgh).

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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