DeLiang Wang
Impact in
- Signal Processing top 0.01%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Cognitive Neuroscience top 0.2%
- Hearing Loss and Rehabilitation
- Neural dynamics and brain function
Papers in
-
- Speech and Audio Processing 310
- Music and Audio Processing 145
- Blind Source Separation Techniques 31
-
- Hearing Loss and Rehabilitation 110
- Neural dynamics and brain function 38
- Co-authors
- Jitong Chen (14 shared papers)Arun Narayanan (13 shared papers)Ke Tan (22 shared papers)Yuxuan Wang (6 shared papers)Guy J. Brown (15 shared papers)Zhong-Qiu Wang (27 shared papers)Ashutosh Pandey (22 shared papers)David Terman (5 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (49 papers)The Journal of the Acoustical Society of America (45 papers)IEEE Transactions on Audio Speech and Language Processing (22 papers)Neural Networks (9 papers)Speech Communication (7 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
DeLiang Wang
366 papers receiving 17.2k citations
DeLiang Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Signal Processing 14.8k
- Cognitive Neuroscience 5.7k
- Computational Mechanics 5.5k
- Artificial Intelligence 7.8k
- Pharmacy 340
Countries citing papers authored by DeLiang Wang
This map shows the geographic impact of DeLiang Wang'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 DeLiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DeLiang Wang more than expected).
Fields of papers citing papers by DeLiang Wang
This network shows the impact of papers produced by DeLiang Wang. 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 DeLiang Wang. The network helps show where DeLiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside DeLiang Wang, 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 377 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Supervised Speech Separation Based on Deep Learning: An Overview Hit paper breakdown → | 2018 | 1046 |
| 2 | On Training Targets for Supervised Speech Separation Hit paper breakdown → | 2014 | 816 |
| 3 | Complex Ratio Masking for Monaural Speech Separation Hit paper breakdown → | 2015 | 588 |
| 4 | On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis Hit paper breakdown → | 2006 | 444 |
| 5 | Computational Auditory Scene Analysis Hit paper breakdown → | 2006 | 401 |
| 6 | Ideal ratio mask estimation using deep neural networks for robust speech recognition Hit paper breakdown → | 2013 | 388 |
| 7 | Towards Scaling Up Classification-Based Speech Separation Hit paper breakdown → | 2013 | 357 |
| 8 | 2003 | 324 | |
| 9 | 2006 | 324 | |
| 10 | A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement Hit paper breakdown → | 2018 | 322 |
| 11 | 1995 | 281 | |
| 12 | TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain Hit paper breakdown → | 2019 | 271 |
| 13 | 1997 | 245 | |
| 14 | Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement Hit paper breakdown → | 2019 | 244 |
| 15 | 2010 | 217 | |
| 16 | 2019 | 204 | |
| 17 | 2003 | 204 | |
| 18 | 2015 | 199 | |
| 19 | 1995 | 197 | |
| 20 | 2017 | 184 |
About DeLiang Wang
DeLiang Wang is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 377 papers that have together received 18.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (310 papers), Music and Audio Processing (145 papers), Speech Recognition and Synthesis (128 papers), Advanced Adaptive Filtering Techniques (115 papers), Hearing Loss and Rehabilitation (110 papers), Neural dynamics and brain function (38 papers), Blind Source Separation Techniques (31 papers) and Acoustic Wave Phenomena Research (30 papers). The work is most often cited by research in Signal Processing (14.8k citations), Cognitive Neuroscience (5.7k citations), Computational Mechanics (5.5k citations), Artificial Intelligence (7.8k citations) and Pharmacy (340 citations). DeLiang Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jitong Chen, Arun Narayanan, Ke Tan, Yuxuan Wang, Guy J. Brown, Zhong-Qiu Wang, Ashutosh Pandey, David Terman, Donald S. Williamson and Yuxuan Wang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing, Neural Networks and Speech Communication.
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.