Shuochen Su
Impact in
- Media Technology top 2%
- Image Processing Techniques and Applications
- Instrumentation top 5%
- Advanced Optical Sensing Technologies
Papers in
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- Advanced Vision and Imaging 7
- Optical measurement and interference techniques 6
- Advanced Image Processing Techniques 2
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- Image Processing Techniques and Applications 6
- Co-authors
- Wolfgang Heidrich (5 shared papers)Jue Wang (1 shared paper)Oliver Wang (1 shared paper)Guillermo Sapiro (1 shared paper)Mauricio Delbracio (1 shared paper)Felix Heide (3 shared papers)Gordon Wetzstein (1 shared paper)Yifan Peng (1 shared paper)
- Journals
- Optics Express (1 paper)IEEE Transactions on Image Processing (1 paper)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (4 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Shuochen Su
9 papers receiving 598 citations
Shuochen Su's Hit Papers
Peers
Comparison fields: 5 of 50
- Media Technology 235
- Instrumentation 89
- Computer Vision and Pattern Recognition 508
- Acoustics and Ultrasonics 16
- Biophysics 21
Countries citing papers authored by Shuochen Su
This map shows the geographic impact of Shuochen 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 Shuochen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuochen Su more than expected).
Fields of papers citing papers by Shuochen Su
This network shows the impact of papers produced by Shuochen 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 Shuochen Su. The network helps show where Shuochen Su may publish in the future.
Co-authors
The 23 scholars most cited alongside Shuochen 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 | Deep Video Deblurring for Hand-Held Cameras Hit paper breakdown → | 2017 | 343 |
| 2 | 2018 | 67 | |
| 3 | 2015 | 66 | |
| 4 | 2022 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2016 | 37 | |
| 7 | 2013 | 11 | |
| 8 | 2015 | 5 | |
| 9 | 2023 | 4 |
About Shuochen Su
Shuochen Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Instrumentation, Environmental Engineering and Aerospace Engineering, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Image Processing Techniques and Applications (6 papers), Optical measurement and interference techniques (6 papers), Advanced Optical Sensing Technologies (3 papers), Advanced Image Processing Techniques (2 papers), Robotics and Sensor-Based Localization (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Advanced optical system design (1 paper). The work is most often cited by research in Media Technology (235 citations), Instrumentation (89 citations), Computer Vision and Pattern Recognition (508 citations), Acoustics and Ultrasonics (16 citations) and Biophysics (21 citations). Shuochen Su has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Wolfgang Heidrich, Jue Wang, Oliver Wang, Guillermo Sapiro, Mauricio Delbracio, Felix Heide, Gordon Wetzstein, Yifan Peng, Qiang Fu and Jialiang Wang. Their work appears in journals such as Optics Express, IEEE Transactions on Image Processing, King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.