Junyang Chen
Impact in
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- Image Enhancement Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Domain Adaptation and Few-Shot Learning 19
- Advanced Graph Neural Networks 14
- Topic Modeling 7
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- Multimodal Machine Learning Applications 10
- Advanced Neural Network Applications 6
- Co-authors
- Zhiguo Gong (21 shared papers)Weiwen Liu (8 shared papers)Jinzhong Wang (2 shared papers)Junxin Chen (2 shared papers)Cong Wang (6 shared papers)Zhenghua Xu (11 shared papers)Wei Wang (5 shared papers)Jinquan Liu (1 shared paper)
In The Last Decade
Junyang Chen
62 papers receiving 942 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 300
- Artificial Intelligence 444
- Transportation 68
- Information Systems 189
- Media Technology 55
Countries citing papers authored by Junyang Chen
This map shows the geographic impact of Junyang 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 Junyang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyang Chen more than expected).
Fields of papers citing papers by Junyang Chen
This network shows the impact of papers produced by Junyang 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 Junyang Chen. The network helps show where Junyang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyang 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2021 | 90 | |
| 3 | 2020 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2019 | 45 | |
| 6 | 2023 | 43 | |
| 7 | 2022 | 41 | |
| 8 | 2020 | 38 | |
| 9 | 2023 | 30 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2023 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2023 | 13 |
About Junyang Chen
Junyang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Media Technology, having authored 77 papers that have together received 956 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (19 papers), Advanced Graph Neural Networks (14 papers), Multimodal Machine Learning Applications (10 papers), Complex Network Analysis Techniques (10 papers), Recommender Systems and Techniques (8 papers), Topic Modeling (7 papers), Advanced Neural Network Applications (6 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (300 citations), Artificial Intelligence (444 citations), Transportation (68 citations), Information Systems (189 citations) and Media Technology (55 citations). Junyang Chen has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zhiguo Gong, Weiwen Liu, Jinzhong Wang, Junxin Chen, Cong Wang, Zhenghua Xu, Wei Wang, Jinquan Liu, Xiao Dong and Thomas Lukasiewicz. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and IEEE Transactions on Mobile Computing.
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.