Joya Chen
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
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- Robot Manipulation and Learning
Papers in
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- Multimodal Machine Learning Applications 12
- Advanced Neural Network Applications 5
- Human Pose and Action Recognition 3
- Video Analysis and Summarization 1
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- Hand Gesture Recognition Systems 2
- Co-authors
- Difei Gao (6 shared papers)Mike Zheng Shou (9 shared papers)Kevin Qinghong Lin (6 shared papers)Tong Xu (4 shared papers)Pengchuan Zhang (2 shared papers)Shraman Pramanick (1 shared paper)Dong Liu (3 shared papers)Qi Wu (3 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (1 paper)International Journal of Computer Vision (1 paper)Neural Networks (1 paper)IEEE Transactions on Image Processing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Joya Chen
17 papers receiving 284 citations
Joya Chen's Hit Papers
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 218
- Control and Systems Engineering 39
- Artificial Intelligence 35
- Human-Computer Interaction 7
- Signal Processing 6
Countries citing papers authored by Joya Chen
This map shows the geographic impact of Joya 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 Joya Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joya Chen more than expected).
Fields of papers citing papers by Joya Chen
This network shows the impact of papers produced by Joya 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 Joya Chen. The network helps show where Joya Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Joya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 73 | |
| 2 | Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Hit paper breakdown → | 2024 | 71 |
| 3 | 2024 | 31 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 21 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Joya Chen
Joya Chen is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Control and Systems Engineering, Computational Mechanics and Artificial Intelligence, having authored 20 papers that have together received 288 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Advanced Neural Network Applications (5 papers), Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (2 papers), Robot Manipulation and Learning (2 papers), Privacy-Preserving Technologies in Data (1 paper), Video Analysis and Summarization (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Control and Systems Engineering (39 citations), Artificial Intelligence (35 citations), Human-Computer Interaction (7 citations) and Signal Processing (6 citations). Joya Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Difei Gao, Mike Zheng Shou, Kevin Qinghong Lin, Tong Xu, Pengchuan Zhang, Shraman Pramanick, Dong Liu, Qi Wu, Enhong Chen and Shiwei Wu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, International Journal of Computer Vision, Neural Networks, 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.