Dong Yu
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
-
- Speech Recognition and Synthesis 7
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Speech and dialogue systems 2
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- Speech and Audio Processing 4
- Music and Audio Processing 3
- Co-authors
- Alex Acero (5 shared papers)Li Deng (2 shared papers)George E. Dahl (1 shared paper)Jasha Droppo (1 shared paper)Yifan Gong (1 shared paper)Li Deng (1 shared paper)Deng Li (1 shared paper)Jian Wu (1 shared paper)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (3 papers)Fuel (1 paper)Natural Product Research (1 paper)AIMS Mathematics (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Dong Yu
10 papers receiving 2.0k citations
Dong Yu's Hit Papers
Peers
Comparison fields: 5 of 141
- Signal Processing 1.1k
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 406
- Computational Mathematics 5
- Experimental and Cognitive Psychology 75
Countries citing papers authored by Dong Yu
This map shows the geographic impact of Dong 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 Dong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yu more than expected).
Fields of papers citing papers by Dong Yu
This network shows the impact of papers produced by Dong 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 Dong Yu. The network helps show where Dong Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong 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
| # | Work | ||
|---|---|---|---|
| 1 | Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition Hit paper breakdown → | 2011 | 2084 |
| 2 | 2008 | 43 | |
| 3 | 2009 | 26 | |
| 4 | 2007 | 16 | |
| 5 | 2006 | 14 | |
| 6 | 2014 | 12 | |
| 7 | 2007 | 10 | |
| 8 | 2006 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
About Dong Yu
Dong Yu is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Cell Biology and Immunology, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers), Speech and dialogue systems (2 papers), Muscle metabolism and nutrition (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (406 citations), Computational Mathematics (5 citations) and Experimental and Cognitive Psychology (75 citations). Dong Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Alex Acero, Li Deng, George E. Dahl, Jasha Droppo, Yifan Gong, Yifan Gong, Li Deng, Deng Li, Jian Wu and Ye-Yi Wang. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Fuel, Natural Product Research, AIMS Mathematics and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.