Junyu Han
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Handwritten Text Recognition Techniques 15
- Advanced Neural Network Applications 9
- Generative Adversarial Networks and Image Synthesis 7
- Face recognition and analysis 5
- Advanced Vision and Imaging 3
- Human Pose and Action Recognition 3
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- Biometric Identification and Security 3
- Co-authors
- Errui Ding (40 shared papers)Jingtuo Liu (23 shared papers)Chengquan Zhang (11 shared papers)Jingdong Wang (17 shared papers)Zhibin Hong (8 shared papers)Zuming Huang (3 shared papers)Borong Liang (2 shared papers)Kenneth K. Wong (1 shared paper)
In The Last Decade
Junyu Han
55 papers receiving 2.9k citations
Junyu Han's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 2.6k
- Media Technology 126
- Signal Processing 77
- Artificial Intelligence 191
- Industrial and Manufacturing Engineering 38
Countries citing papers authored by Junyu Han
This map shows the geographic impact of Junyu Han'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 Junyu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Han more than expected).
Fields of papers citing papers by Junyu Han
This network shows the impact of papers produced by Junyu Han. 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 Junyu Han. The network helps show where Junyu Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Han, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 276 | |
| 2 | 2019 | 271 | |
| 3 | 2019 | 234 | |
| 4 | 2016 | 201 | |
| 5 | 2017 | 165 | |
| 6 | Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment Hit paper breakdown → | 2023 | 154 |
| 7 | 2019 | 153 | |
| 8 | 2019 | 106 | |
| 9 | 2012 | 90 | |
| 10 | 2021 | 90 | |
| 11 | 2022 | 90 | |
| 12 | 2019 | 86 | |
| 13 | 2020 | 72 | |
| 14 | 2021 | 69 | |
| 15 | 2022 | 62 | |
| 16 | 2019 | 58 | |
| 17 | 2023 | 55 | |
| 18 | 2022 | 54 | |
| 19 | 2019 | 53 | |
| 20 | 2022 | 52 |
About Junyu Han
Junyu Han is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Business and International Management and Control and Systems Engineering, having authored 56 papers that have together received 3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Advanced Neural Network Applications (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Face recognition and analysis (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Biometric Identification and Security (3 papers), Advanced Vision and Imaging (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Media Technology (126 citations), Signal Processing (77 citations), Artificial Intelligence (191 citations) and Industrial and Manufacturing Engineering (38 citations). Junyu Han has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Errui Ding, Jingtuo Liu, Chengquan Zhang, Jingdong Wang, Zhibin Hong, Zuming Huang, Borong Liang, Kenneth K. Wong, Zhizhong Su and Chaofeng Chen. Their work appears in journals such as International Journal of Computer Vision, Remote Sensing, Pattern Recognition Letters, Journal of Field Robotics and IEEE Robotics and Automation Letters.
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.