Dong Yu
Impact in
- Signal Processing top 0.01%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.01%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
Papers in
-
- Speech Recognition and Synthesis 228
- Natural Language Processing Techniques 104
- Topic Modeling 93
- Speech and dialogue systems 37
-
- Speech and Audio Processing 200
- Music and Audio Processing 167
- Co-authors
- Li Deng (78 shared papers)Abdelrahman Mohamed (8 shared papers)George E. Dahl (6 shared papers)Geoffrey E. Hinton (5 shared papers)Patrick Nguyen (5 shared papers)Brian Kingsbury (3 shared papers)Andrew Senior (3 shared papers)Vincent Vanhoucke (3 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (16 papers)IEEE Signal Processing Magazine (10 papers)IEEE Transactions on Audio Speech and Language Processing (7 papers)Computer Speech & Language (6 papers)IEEE Journal of Selected Topics in Signal Processing (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dong Yu
354 papers receiving 24.8k citations
Dong Yu's Hit Papers
Peers
Comparison fields: 5 of 217
- Signal Processing 12.2k
- Artificial Intelligence 17.8k
- Computer Vision and Pattern Recognition 5.1k
- Computational Mathematics 88
- Experimental and Cognitive Psychology 1.1k
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
Showing the 20 most-cited of 375 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Hit paper breakdown → | 2012 | 6614 |
| 2 | Deep Learning: Methods and Applications Hit paper breakdown → | 2014 | 2335 |
| 3 | Convolutional Neural Networks for Speech Recognition Hit paper breakdown → | 2014 | 1566 |
| 4 | Deep Neural Networks for Acoustic Modeling in Speech Recognition Hit paper breakdown → | 2012 | 1169 |
| 5 | Conversational speech transcription using context-dependent deep neural networks Hit paper breakdown → | 2011 | 599 |
| 6 | Permutation invariant training of deep models for speaker-independent multi-talker speech separation Hit paper breakdown → | 2017 | 541 |
| 7 | Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks Hit paper breakdown → | 2017 | 533 |
| 8 | Speech emotion recognition using deep neural network and extreme learning machine Hit paper breakdown → | 2014 | 524 |
| 9 | Recent advances in deep learning for speech research at Microsoft Hit paper breakdown → | 2013 | 510 |
| 10 | Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription Hit paper breakdown → | 2011 | 482 |
| 11 | An investigation of deep neural networks for noise robust speech recognition Hit paper breakdown → | 2013 | 460 |
| 12 | 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs Hit paper breakdown → | 2014 | 439 |
| 13 | Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers Hit paper breakdown → | 2013 | 400 |
| 14 | Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP Hit paper breakdown → | 2010 | 336 |
| 15 | KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition Hit paper breakdown → | 2013 | 300 |
| 16 | 2014 | 271 | |
| 17 | Large-scale malware classification using random projections and neural networks Hit paper breakdown → | 2013 | 270 |
| 18 | 2013 | 256 | |
| 19 | Binary coding of speech spectrograms using a deep auto-encoder Hit paper breakdown → | 2010 | 243 |
| 20 | 2019 | 243 |
About Dong Yu
Dong Yu is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Information Systems, having authored 375 papers that have together received 26.9k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (228 papers), Speech and Audio Processing (200 papers), Music and Audio Processing (167 papers), Natural Language Processing Techniques (104 papers), Topic Modeling (93 papers), Speech and dialogue systems (37 papers), Advanced Adaptive Filtering Techniques (21 papers) and Multimodal Machine Learning Applications (21 papers). The work is most often cited by research in Signal Processing (12.2k citations), Artificial Intelligence (17.8k citations), Computer Vision and Pattern Recognition (5.1k citations), Computational Mathematics (88 citations) and Experimental and Cognitive Psychology (1.1k citations). Dong Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Li Deng, Abdelrahman Mohamed, George E. Dahl, Geoffrey E. Hinton, Patrick Nguyen, Brian Kingsbury, Andrew Senior, Vincent Vanhoucke, Tara N. Sainath and Navdeep Jaitly. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language 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.