Shaolin Su
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
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- Image and Video Quality Assessment
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
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- Image and Video Quality Assessment 6
- Advanced Image Processing Techniques 5
- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 2
- Advanced Vision and Imaging 2
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- Advanced Image Fusion Techniques 5
- Co-authors
- Jinqiu Sun (7 shared papers)Yanning Zhang (7 shared papers)Qingsen Yan (4 shared papers)Yu Zhu (3 shared papers)Xin Ge (1 shared paper)Cheng Zhang (1 shared paper)Qing Mao (1 shared paper)Yu Zhu (2 shared papers)
- Journals
- Pattern Recognition (3 papers)IEEE Transactions on Multimedia (1 paper)KOPS (University of Konstanz) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (1 paper)
In The Last Decade
Shaolin Su
12 papers receiving 501 citations
Shaolin Su's Hit Papers
Peers
Comparison fields: 5 of 51
- Media Technology 236
- Computer Vision and Pattern Recognition 446
- Computer Graphics and Computer-Aided Design 13
- Industrial and Manufacturing Engineering 31
- Acoustics and Ultrasonics 1
Countries citing papers authored by Shaolin Su
This map shows the geographic impact of Shaolin 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 Shaolin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Su more than expected).
Fields of papers citing papers by Shaolin Su
This network shows the impact of papers produced by Shaolin 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 Shaolin Su. The network helps show where Shaolin Su may publish in the future.
Co-authors
The 22 scholars most cited alongside Shaolin 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 | Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network Hit paper breakdown → | 2020 | 451 |
| 2 | 2023 | 20 | |
| 3 | 2022 | 14 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2015 | 1 |
About Shaolin Su
Shaolin Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, Dermatology and Neurology, having authored 12 papers that have together received 518 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (6 papers), Advanced Image Processing Techniques (5 papers), Advanced Image Fusion Techniques (5 papers), Image Enhancement Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Vision and Imaging (2 papers), Energy Efficient Wireless Sensor Networks (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Media Technology (236 citations), Computer Vision and Pattern Recognition (446 citations), Computer Graphics and Computer-Aided Design (13 citations), Industrial and Manufacturing Engineering (31 citations) and Acoustics and Ultrasonics (1 citation). Shaolin Su has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Jinqiu Sun, Yanning Zhang, Qingsen Yan, Yu Zhu, Xin Ge, Cheng Zhang, Qing Mao, Yu Zhu, Yu Zhu and Vlad Hosu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, KOPS (University of Konstanz), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Adelaide Research & Scholarship (AR&S) (University of Adelaide).
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.