Li Deng
Impact in
- Signal Processing top 0.01%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.01%
- Speech Recognition and Synthesis
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Speech Recognition and Synthesis 219
- Natural Language Processing Techniques 72
- Topic Modeling 68
- Speech and dialogue systems 41
-
- Speech and Audio Processing 165
- Music and Audio Processing 106
- Co-authors
- Dong Yu (90 shared papers)Xiaodong He (59 shared papers)Abdelrahman Mohamed (7 shared papers)Geoffrey E. Hinton (5 shared papers)Brian Kingsbury (4 shared papers)George E. Dahl (6 shared papers)Andrew Senior (4 shared papers)Alex Acero (60 shared papers)
- Journals
- IEEE Signal Processing Magazine (19 papers)IEEE Transactions on Speech and Audio Processing (10 papers)Computer Speech & Language (9 papers)IEEE Transactions on Audio Speech and Language Processing (8 papers)Signal Processing (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Li Deng
332 papers receiving 32.0k citations
Li Deng's Hit Papers
Peers
Comparison fields: 5 of 220
- Signal Processing 11.0k
- Artificial Intelligence 22.1k
- Computer Vision and Pattern Recognition 9.0k
- Computational Mathematics 88
- Experimental and Cognitive Psychology 1.3k
Countries citing papers authored by Li Deng
This map shows the geographic impact of Li Deng'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 Li Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Deng more than expected).
Fields of papers citing papers by Li Deng
This network shows the impact of papers produced by Li Deng. 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 Li Deng. The network helps show where Li Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Deng, 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 345 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 | 7391 |
| 2 | Deep Learning: Methods and Applications Hit paper breakdown → | 2014 | 2637 |
| 3 | Convolutional Neural Networks for Speech Recognition Hit paper breakdown → | 2014 | 1707 |
| 4 | Deep Learning: Methods and Applications Hit paper breakdown → | 2014 | 1410 |
| 5 | Stacked Attention Networks for Image Question Answering Hit paper breakdown → | 2016 | 1349 |
| 6 | Deep Neural Networks for Acoustic Modeling in Speech Recognition Hit paper breakdown → | 2012 | 1311 |
| 7 | Learning deep structured semantic models for web search using clickthrough data Hit paper breakdown → | 2013 | 1285 |
| 8 | From captions to visual concepts and back Hit paper breakdown → | 2015 | 874 |
| 9 | New types of deep neural network learning for speech recognition and related applications: an overview Hit paper breakdown → | 2013 | 835 |
| 10 | Recent advances in deep learning for speech research at Microsoft Hit paper breakdown → | 2013 | 579 |
| 11 | A tutorial survey of architectures, algorithms, and applications for deep learning Hit paper breakdown → | 2014 | 532 |
| 12 | Learning semantic representations using convolutional neural networks for web search Hit paper breakdown → | 2014 | 474 |
| 13 | Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers Hit paper breakdown → | 2013 | 452 |
| 14 | A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval Hit paper breakdown → | 2014 | 449 |
| 15 | An Overview of Noise-Robust Automatic Speech Recognition Hit paper breakdown → | 2014 | 419 |
| 16 | Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP Hit paper breakdown → | 2010 | 371 |
| 17 | Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding Hit paper breakdown → | 2014 | 318 |
| 18 | Multimodal Intelligence: Representation Learning, Information Fusion, and Applications Hit paper breakdown → | 2020 | 317 |
| 19 | Large-scale malware classification using random projections and neural networks Hit paper breakdown → | 2013 | 315 |
| 20 | Machine Learning Paradigms for Speech Recognition: An Overview Hit paper breakdown → | 2013 | 313 |
About Li Deng
Li Deng is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Computational Mechanics, having authored 345 papers that have together received 34.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (219 papers), Speech and Audio Processing (165 papers), Music and Audio Processing (106 papers), Natural Language Processing Techniques (72 papers), Topic Modeling (68 papers), Speech and dialogue systems (41 papers), Phonetics and Phonology Research (33 papers) and Multimodal Machine Learning Applications (24 papers). The work is most often cited by research in Signal Processing (11.0k citations), Artificial Intelligence (22.1k citations), Computer Vision and Pattern Recognition (9.0k citations), Computational Mathematics (88 citations) and Experimental and Cognitive Psychology (1.3k citations). Li Deng has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dong Yu, Xiaodong He, Abdelrahman Mohamed, Geoffrey E. Hinton, Brian Kingsbury, George E. Dahl, Andrew Senior, Alex Acero, Navdeep Jaitly and Vincent Vanhoucke. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Speech and Audio Processing, Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing and 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.