Ke Chen
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Speech Recognition and Synthesis
Papers in
-
- Neural Networks and Applications 37
- Speech Recognition and Synthesis 31
- Domain Adaptation and Few-Shot Learning 11
-
- Speech and Audio Processing 28
- Music and Audio Processing 23
- Data Management and Algorithms 13
- Blind Source Separation Techniques 10
- Co-authors
- Lipo Wang (2 shared papers)Ling-An Wu (1 shared paper)Qian Wang (3 shared papers)Yun Yang (6 shared papers)Shihai Wang (3 shared papers)Ahmad Salman (3 shared papers)Yunong Zhang (10 shared papers)DeLiang Wang (4 shared papers)
- Journals
- Neural Networks (6 papers)Information Sciences (5 papers)PLoS ONE (4 papers)Neurocomputing (4 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ke Chen
233 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 180
- Signal Processing 690
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 209
- Computational Mathematics 12
Countries citing papers authored by Ke Chen
This map shows the geographic impact of Ke Chen'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 Ke Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Chen more than expected).
Fields of papers citing papers by Ke Chen
This network shows the impact of papers produced by Ke Chen. 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 Ke Chen. The network helps show where Ke Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Chen, 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 254 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 313 | |
| 2 | 2003 | 281 | |
| 3 | 2017 | 123 | |
| 4 | 2016 | 121 | |
| 5 | 2010 | 114 | |
| 6 | 1999 | 100 | |
| 7 | 1997 | 98 | |
| 8 | 2005 | 90 | |
| 9 | 2011 | 85 | |
| 10 | 2020 | 84 | |
| 11 | 2010 | 81 | |
| 12 | 2004 | 78 | |
| 13 | 2002 | 77 | |
| 14 | 2009 | 70 | |
| 15 | 2007 | 68 | |
| 16 | 2000 | 64 | |
| 17 | 2013 | 59 | |
| 18 | 2022 | 55 | |
| 19 | 2010 | 55 | |
| 20 | 2017 | 55 |
About Ke Chen
Ke Chen is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Control and Systems Engineering, having authored 254 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (37 papers), Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (28 papers), Music and Audio Processing (23 papers), Data Management and Algorithms (13 papers), Neural dynamics and brain function (12 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Signal Processing (690 citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.1k citations), Media Technology (209 citations) and Computational Mathematics (12 citations). Ke Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lipo Wang, Ling-An Wu, Qian Wang, Yun Yang, Shihai Wang, Ahmad Salman, Yunong Zhang, DeLiang Wang, Pin Shen Teh and Ning Zhang. Their work appears in journals such as Neural Networks, Information Sciences, PLoS ONE, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.
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.