Stephen M. Chu
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
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- Advanced Image and Video Retrieval Techniques
- Graph Theory and Algorithms
Papers in
-
- Speech Recognition and Synthesis 21
- Natural Language Processing Techniques 9
- Advanced Graph Neural Networks 4
-
- Speech and Audio Processing 19
- Music and Audio Processing 13
- Co-authors
- Junchi Yan (16 shared papers)Hongyuan Zha (11 shared papers)Xiaokang Yang (9 shared papers)Thomas S. Huang (10 shared papers)Shuai Xiao (4 shared papers)Hao Tang (5 shared papers)Daniel Povey (5 shared papers)Xiaokang Yang (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)The Journal of the Acoustical Society of America (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Urban Ecosystems (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Stephen M. Chu
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Signal Processing 372
- Computer Vision and Pattern Recognition 437
- Artificial Intelligence 585
- Transportation 56
- Computational Mathematics 5
Countries citing papers authored by Stephen M. Chu
This map shows the geographic impact of Stephen M. Chu'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 Stephen M. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Chu more than expected).
Fields of papers citing papers by Stephen M. Chu
This network shows the impact of papers produced by Stephen M. Chu. 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 Stephen M. Chu. The network helps show where Stephen M. Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen M. Chu, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2015 | 124 | |
| 3 | 2015 | 79 | |
| 4 | 2007 | 54 | |
| 5 | 2015 | 49 | |
| 6 | On modeling and predicting individual paper citation count over time | 2016 | 44 |
| 7 | 2013 | 44 | |
| 8 | 2015 | 36 | |
| 9 | 2017 | 34 | |
| 10 | 2009 | 33 | |
| 11 | 2011 | 25 | |
| 12 | 2010 | 25 | |
| 13 | Low-rank matrix approximation with stability | 2016 | 24 |
| 14 | Modeling the intensity function of point process via recurrent neural networkss | 2017 | 23 |
| 15 | 2010 | 23 | |
| 16 | 2010 | 22 | |
| 17 | 2000 | 22 | |
| 18 | 2008 | 22 | |
| 19 | 2009 | 21 | |
| 20 | 2009 | 20 |
About Stephen M. Chu
Stephen M. Chu is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Experimental and Cognitive Psychology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers), Music and Audio Processing (13 papers), Natural Language Processing Techniques (9 papers), Recommender Systems and Techniques (8 papers), Graph Theory and Algorithms (5 papers), Advanced Graph Neural Networks (4 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Signal Processing (372 citations), Computer Vision and Pattern Recognition (437 citations), Artificial Intelligence (585 citations), Transportation (56 citations) and Computational Mathematics (5 citations). Stephen M. Chu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Junchi Yan, Hongyuan Zha, Xiaokang Yang, Thomas S. Huang, Shuai Xiao, Hao Tang, Daniel Povey, Xiaokang Yang, Minsu Cho and Dongsheng Li. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, The Journal of the Acoustical Society of America, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering and Urban Ecosystems.
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.