Yingjun Du
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 2
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 8
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Xiantong Zhen (13 shared papers)Ling Shao (6 shared papers)Jun Xu (5 shared papers)Ming‐Ming Cheng (1 shared paper)Cees G. M. Snoek (7 shared papers)Lei Zhang (3 shared papers)Shengyong Chen (2 shared papers)Jing Li (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- NetherlandsChinaUnited Arab Emirates
In The Last Decade
Yingjun Du
17 papers receiving 241 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 162
- Artificial Intelligence 119
- Media Technology 29
- Computer Graphics and Computer-Aided Design 7
- Human-Computer Interaction 11
Countries citing papers authored by Yingjun Du
This map shows the geographic impact of Yingjun Du'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 Yingjun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Du more than expected).
Fields of papers citing papers by Yingjun Du
This network shows the impact of papers produced by Yingjun Du. 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 Yingjun Du. The network helps show where Yingjun Du may publish in the future.
Co-authors
The 23 scholars most cited alongside Yingjun Du, 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 | 2020 | 74 | |
| 2 | 2021 | 40 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 30 | |
| 5 | MetaNorm: Learning to Normalize Few-Shot Batches Across Domains | 2021 | 16 |
| 6 | 2023 | 14 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 3 | |
| 12 | Learning to Learn Variational Semantic Memory | 2020 | 3 |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2019 | 1 |
About Yingjun Du
Yingjun Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cancer Research and Ocean Engineering, having authored 17 papers that have together received 243 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image Processing Techniques (3 papers), COVID-19 diagnosis using AI (3 papers), Image Enhancement Techniques (2 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Artificial Intelligence (119 citations), Media Technology (29 citations), Computer Graphics and Computer-Aided Design (7 citations) and Human-Computer Interaction (11 citations). Yingjun Du has collaborated with scholars based in Netherlands, China and United Arab Emirates. Frequent co-authors include Xiantong Zhen, Ling Shao, Jun Xu, Ming‐Ming Cheng, Cees G. M. Snoek, Lei Zhang, Shengyong Chen, Jing Li, Liyun Zuo and Qiang Qiu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and IEEE Transactions on Cybernetics.
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.