Joya Chen
Impact in
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 6
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 5
- Video Analysis and Summarization 4
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 3
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Mike Zheng Shou (6 shared papers)Kevin Qinghong Lin (4 shared papers)Difei Gao (4 shared papers)Tong Xu (5 shared papers)Dong Liu (4 shared papers)Qi Wu (4 shared papers)Enhong Chen (6 shared papers)Rui Yan (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Neural Networks (1 paper)Scientia Sinica Informationis (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Joya Chen
14 papers receiving 129 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 45
- Signal Processing 6
- Human-Computer Interaction 3
- Industrial and Manufacturing Engineering 5
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 | 43 | |
| 2 | 2020 | 21 | |
| 3 | 2021 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2024 | 11 | |
| 6 | Is Sampling Heuristics Necessary in Training Deep Object Detectors | 2019 | 8 |
| 7 | 2020 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2024 | 0 |
About Joya Chen
Joya Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging and Archeology, having authored 15 papers that have together received 132 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (5 papers), Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (96 citations), Artificial Intelligence (45 citations), Signal Processing (6 citations), Human-Computer Interaction (3 citations) and Industrial and Manufacturing Engineering (5 citations). Joya Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Mike Zheng Shou, Kevin Qinghong Lin, Difei Gao, Tong Xu, Dong Liu, Qi Wu, Enhong Chen, Rui Yan, Pengchuan Zhang and Shraman Pramanick. Their work appears in journals such as Pattern Recognition, Neural Networks, Scientia Sinica Informationis and arXiv (Cornell University).
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.