Wen-Sheng Chu
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- Emotion and Mood Recognition 17
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- Face and Expression Recognition 12
- Face recognition and analysis 9
- Signal Processing top 2%
- Speech and Audio Processing 4
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 2
- Cognitive Neuroscience top 10%
- Face Recognition and Perception 5
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- Seismic Waves and Analysis 2
- Seismic Imaging and Inversion Techniques 2
- Co-authors
- Fernando De la TorreJeffrey F. CohnKaili ZhaoHonggang ZhangJeffery F. CohnAlejandro JaimesYale SongXiaoyu Ding
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (2 papers)Pattern Recognition (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wen-Sheng Chu
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Experimental and Cognitive Psychology 835
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 272
- Human-Computer Interaction 115
- Cognitive Neuroscience 186
Countries citing papers authored by Wen-Sheng Chu
This map shows the geographic impact of Wen-Sheng 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 Wen-Sheng Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Sheng Chu more than expected).
Fields of papers citing papers by Wen-Sheng Chu
This network shows the impact of papers produced by Wen-Sheng 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 Wen-Sheng Chu. The network helps show where Wen-Sheng Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen-Sheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 1 | |
| 5 | Chapter 19 - Affective facial computing: Generalizability across domains | 2019 | 2 |
| 6 | 2018 | 42 | |
| 7 | 2018 | 15 | |
| 8 | 2017 | 8 | |
| 9 | 2017 | 49 | |
| 10 | 2017 | 27 | |
| 11 | 2016 | 60 | |
| 12 | 2016 | 228 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 135 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 146 | |
| 17 | 2015 | 164 | |
| 18 | 2015 | 48 | |
| 19 | 2013 | 58 | |
| 20 | 2013 | 217 |
About Wen-Sheng Chu
Wen-Sheng Chu is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (17 papers), Face and Expression Recognition (12 papers), Face recognition and analysis (9 papers), Face Recognition and Perception (5 papers), Speech and Audio Processing (4 papers), Seismic Waves and Analysis (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (835 citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (272 citations). Wen-Sheng Chu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Fernando De la Torre, Jeffrey F. Cohn, Kaili Zhao, Honggang Zhang, Jeffery F. Cohn, Fernando De la Torre, Alejandro Jaimes, Yale Song, Xiaoyu Ding and Xuehan Xiong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.