Jiajun Su
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Media Technology top 2%
- Advanced Image Fusion Techniques
Papers in
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- Human Pose and Action Recognition 6
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
- Advanced Image Processing Techniques 2
- Image Enhancement Techniques 2
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- Hand Gesture Recognition Systems 2
- Co-authors
- Robby T. Tan (1 shared paper)Wenhan Yang (1 shared paper)Jiaying Liu (1 shared paper)Rui Qian (1 shared paper)Yizhou Wang (5 shared papers)Xiaoxuan Ma (2 shared papers)Chunyu Wang (2 shared papers)Hai Ci (1 shared paper)
In The Last Decade
Jiajun Su
10 papers receiving 709 citations
Jiajun Su's Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 653
- Media Technology 175
- Computer Graphics and Computer-Aided Design 42
- Human-Computer Interaction 25
- Safety, Risk, Reliability and Quality 25
Countries citing papers authored by Jiajun Su
This map shows the geographic impact of Jiajun Su'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 Jiajun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Su more than expected).
Fields of papers citing papers by Jiajun Su
This network shows the impact of papers produced by Jiajun Su. 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 Jiajun Su. The network helps show where Jiajun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiajun Su, 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 | Attentive Generative Adversarial Network for Raindrop Removal from A Single Image Hit paper breakdown → | 2018 | 586 |
| 2 | 2021 | 62 | |
| 3 | 2023 | 42 | |
| 4 | 2022 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Jiajun Su
Jiajun Su is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computational Mechanics, Biomedical Engineering and Media Technology, having authored 15 papers that have together received 719 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Image Processing Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Gait Recognition and Analysis (2 papers), Hand Gesture Recognition Systems (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (653 citations), Media Technology (175 citations), Computer Graphics and Computer-Aided Design (42 citations), Human-Computer Interaction (25 citations) and Safety, Risk, Reliability and Quality (25 citations). Jiajun Su has collaborated with scholars based in China, Indonesia and Hong Kong. Frequent co-authors include Robby T. Tan, Wenhan Yang, Jiaying Liu, Rui Qian, Yizhou Wang, Xiaoxuan Ma, Chunyu Wang, Hai Ci, Wentao Zhu and Chunyu Wang. Their work appears in journals such as Neurocomputing, Diagnostic Pathology, IEEE Signal Processing Letters, Displays and Lecture notes in computer science.
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.