Kai Yu
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.2%
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
Papers in
-
- Speech Recognition and Synthesis 145
- Topic Modeling 90
- Natural Language Processing Techniques 80
- Speech and dialogue systems 74
- Multi-Agent Systems and Negotiation 20
-
- Speech and Audio Processing 110
- Music and Audio Processing 90
- Co-authors
- Yanmin Qian (53 shared papers)Steve Young (16 shared papers)Su Zhu (34 shared papers)François Mairesse (20 shared papers)Simon Keizer (19 shared papers)Tian Tan (7 shared papers)Milica Gašić (10 shared papers)Blaise Thomson (9 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (20 papers)Speech Communication (6 papers)IEEE Transactions on Audio Speech and Language Processing (4 papers)Applied Sciences (3 papers)IEEE Journal of Selected Topics in Signal Processing (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kai Yu
291 papers receiving 4.9k citations
Kai Yu's Hit Papers
Peers
Comparison fields: 5 of 146
- Signal Processing 2.0k
- Artificial Intelligence 4.3k
- Computer Vision and Pattern Recognition 666
- Health Informatics 24
- Experimental and Cognitive Psychology 169
Countries citing papers authored by Kai Yu
This map shows the geographic impact of Kai Yu'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 Kai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yu more than expected).
Fields of papers citing papers by Kai Yu
This network shows the impact of papers produced by Kai Yu. 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 Kai Yu. The network helps show where Kai Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yu, 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 313 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 337 | |
| 2 | Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition Hit paper breakdown → | 2016 | 265 |
| 3 | 2020 | 192 | |
| 4 | 2015 | 118 | |
| 5 | 2019 | 100 | |
| 6 | 2012 | 96 | |
| 7 | 2010 | 94 | |
| 8 | 2020 | 93 | |
| 9 | 2021 | 84 | |
| 10 | 2014 | 84 | |
| 11 | Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning | 2010 | 80 |
| 12 | 2009 | 79 | |
| 13 | 2018 | 75 | |
| 14 | 2015 | 69 | |
| 15 | 2018 | 68 | |
| 16 | 2011 | 64 | |
| 17 | 2015 | 64 | |
| 18 | 2016 | 60 | |
| 19 | 2017 | 53 | |
| 20 | 2010 | 51 |
About Kai Yu
Kai Yu is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 313 papers that have together received 5.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (145 papers), Speech and Audio Processing (110 papers), Topic Modeling (90 papers), Music and Audio Processing (90 papers), Natural Language Processing Techniques (80 papers), Speech and dialogue systems (74 papers), Multi-Agent Systems and Negotiation (20 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Signal Processing (2.0k citations), Artificial Intelligence (4.3k citations), Computer Vision and Pattern Recognition (666 citations), Health Informatics (24 citations) and Experimental and Cognitive Psychology (169 citations). Kai Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yanmin Qian, Steve Young, Su Zhu, François Mairesse, Simon Keizer, Tian Tan, Milica Gašić, Blaise Thomson, Shuai Wang and Heinrich Dinkel. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, Applied Sciences and IEEE Journal of Selected Topics in Signal Processing.
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.