Joya Chen
Impact in
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 8
- Multimodal Machine Learning Applications 8
- Video Analysis and Summarization 5
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 3
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Difei Gao (6 shared papers)Mike Zheng Shou (8 shared papers)Kevin Qinghong Lin (5 shared papers)Tong Xu (5 shared papers)Pengchuan Zhang (2 shared papers)Qi Wu (4 shared papers)Rui Yan (1 shared paper)Shraman Pramanick (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Neural Networks (1 paper)Lecture notes in computer science (2 papers)Scientia Sinica Informationis (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Joya Chen
16 papers receiving 163 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 58
- Signal Processing 10
- Control and Systems Engineering 14
- Media Technology 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 | 56 | |
| 2 | 2020 | 22 | |
| 3 | 2021 | 17 | |
| 4 | 2023 | 14 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 13 | |
| 7 | Is Sampling Heuristics Necessary in Training Deep Object Detectors | 2019 | 8 |
| 8 | 2020 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 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 17 papers that have together received 167 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Multimodal Machine Learning Applications (8 papers), Video Analysis and Summarization (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (58 citations), Signal Processing (10 citations), Control and Systems Engineering (14 citations) and Media Technology (5 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, Qi Wu, Rui Yan, Shraman Pramanick, Dong Liu and Enhong Chen. Their work appears in journals such as Pattern Recognition, Neural Networks, Lecture notes in computer science, 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.