Shizhe Chen
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
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- Emotion and Mood Recognition
Papers in
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- Multimodal Machine Learning Applications 31
- Human Pose and Action Recognition 21
- Video Analysis and Summarization 15
- Advanced Image and Video Retrieval Techniques 13
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- Topic Modeling 7
- Co-authors
- Qin Jin (41 shared papers)Qi Wu (3 shared papers)Yida Zhao (3 shared papers)Ivan Laptev (7 shared papers)Cordelia Schmid (6 shared papers)Jinming Zhao (9 shared papers)Peng Wang (1 shared paper)Makarand Tapaswi (2 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Biometrika (2 papers)Zoonoses and Public Health (1 paper)Electronic Journal of Statistics (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Shizhe Chen
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 1.1k
- Experimental and Cognitive Psychology 380
- Signal Processing 249
- Artificial Intelligence 642
- Human-Computer Interaction 50
Countries citing papers authored by Shizhe Chen
This map shows the geographic impact of Shizhe 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 Shizhe Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shizhe Chen more than expected).
Fields of papers citing papers by Shizhe Chen
This network shows the impact of papers produced by Shizhe 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 Shizhe Chen. The network helps show where Shizhe Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shizhe 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 223 | |
| 2 | 2020 | 172 | |
| 3 | 2015 | 120 | |
| 4 | 2022 | 97 | |
| 5 | 2017 | 95 | |
| 6 | 2021 | 86 | |
| 7 | 2015 | 72 | |
| 8 | 2016 | 67 | |
| 9 | 2016 | 50 | |
| 10 | 2017 | 44 | |
| 11 | 2021 | 42 | |
| 12 | 2017 | 39 | |
| 13 | 2019 | 38 | |
| 14 | 2018 | 31 | |
| 15 | 2019 | 27 | |
| 16 | 2023 | 26 | |
| 17 | 2021 | 23 | |
| 18 | 2014 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2019 | 17 |
About Shizhe Chen
Shizhe Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Control and Systems Engineering, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (31 papers), Human Pose and Action Recognition (21 papers), Video Analysis and Summarization (15 papers), Emotion and Mood Recognition (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Experimental and Cognitive Psychology (380 citations), Signal Processing (249 citations), Artificial Intelligence (642 citations) and Human-Computer Interaction (50 citations). Shizhe Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Qin Jin, Qi Wu, Yida Zhao, Ivan Laptev, Cordelia Schmid, Jinming Zhao, Peng Wang, Makarand Tapaswi, Alexander G. Hauptmann and Jia Chen. Their work appears in journals such as IEEE Transactions on Multimedia, Biometrika, Zoonoses and Public Health, Electronic Journal of Statistics and Neurocomputing.
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.