Boxin Shi
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Optical measurement and interference techniques
- Image and Signal Denoising Methods
Papers in
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- Computer Graphics and Visualization Techniques 51
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- Advanced Vision and Imaging 83
- Image Enhancement Techniques 56
- Advanced Image Processing Techniques 41
- Image and Signal Denoising Methods 22
- Optical measurement and interference techniques 22
- Generative Adversarial Networks and Image Synthesis 16
In The Last Decade
Boxin Shi
179 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 114
- Computer Graphics and Computer-Aided Design 941
- Computer Vision and Pattern Recognition 3.3k
- Acoustics and Ultrasonics 110
- Media Technology 765
- Instrumentation 199
Countries citing papers authored by Boxin Shi
This map shows the geographic impact of Boxin Shi'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 Boxin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxin Shi more than expected).
Fields of papers citing papers by Boxin Shi
This network shows the impact of papers produced by Boxin Shi. 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 Boxin Shi. The network helps show where Boxin Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boxin Shi, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 27 | |
| 10 | Learning to dehaze with polarization | 2021 | 18 |
| 11 | 2020 | 176 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 29 | |
| 14 | GPS-Net: Graph-based Photometric Stereo Network | 2020 | 18 |
| 15 | UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging | 2020 | 8 |
| 16 | 2019 | 189 | |
| 17 | Physics-based Neural Networks for Shape from Polarization. | 2019 | 6 |
| 18 | Reflection Separation using a Pair of Unpolarized and Polarized Images | 2019 | 24 |
| 19 | DAFL: Data-Free Learning of Student Networks | 2019 | 4 |
| 20 | Depth Sensing Using Geometrically Constrained Polarization Normals | 2017 | 3 |
About Boxin Shi
Boxin Shi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Media Technology and Geology, having authored 194 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (83 papers), Image Enhancement Techniques (56 papers), Computer Graphics and Visualization Techniques (51 papers), Advanced Image Processing Techniques (41 papers), Image and Signal Denoising Methods (22 papers), Optical measurement and interference techniques (22 papers), 3D Shape Modeling and Analysis (21 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (941 citations), Computer Vision and Pattern Recognition (3.3k citations), Acoustics and Ultrasonics (110 citations), Media Technology (765 citations) and Instrumentation (199 citations). Boxin Shi has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Alex C. Kot, Yasuyuki Matsushita, Ling‐Yu Duan, Ping Tan, Chao Xu, Renjie Wan, Chang Xu, Ramesh Raskar, Chunjing Xu and Yunhe Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Transactions on Circuits and Systems for Video Technology.
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.