Shichao Cheng
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- Advanced Vision and Imaging 6
- Advanced Image Processing Techniques 5
- Image and Signal Denoising Methods 4
- Image Enhancement Techniques 2
- Media Technology top 10%
- Image Processing Techniques and Applications 3
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- Sparse and Compressive Sensing Techniques 6
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- Advanced X-ray Imaging Techniques 2
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- Advanced MRI Techniques and Applications 2
- Journals
- Artificial Intelligence in Medicine (1 paper)The Visual Computer (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shichao Cheng
22 papers receiving 288 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 140
- Media Technology 41
- Biological Psychiatry 11
- Computational Mechanics 63
- Neurology 21
Countries citing papers authored by Shichao Cheng
This map shows the geographic impact of Shichao Cheng'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 Shichao Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shichao Cheng more than expected).
Fields of papers citing papers by Shichao Cheng
This network shows the impact of papers produced by Shichao Cheng. 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 Shichao Cheng. The network helps show where Shichao Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shichao Cheng, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 0 | |
| 11 | 2019 | 43 | |
| 12 | A Bridging Framework for Model Optimization and Deep Propagation | 2018 | 10 |
| 13 | 2018 | 2 | |
| 14 | 2018 | 20 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 0 | |
| 17 | 2017 | 6 | |
| 18 | 2017 | 56 | |
| 19 | 2017 | 1 | |
| 20 | 2013 | 1 |
About Shichao Cheng
Shichao Cheng is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 26 papers that have together received 291 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Image Processing Techniques and Applications (3 papers), Advanced X-ray Imaging Techniques (2 papers), Advanced MRI Techniques and Applications (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Media Technology (41 citations) and Biological Psychiatry (11 citations). Shichao Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Fan, Zhongxuan Luo, Risheng Liu, Yi He, Zhouchen Lin, Long Ma, Suyan Li, Yanni Zhang, Hui Guo and Zhongxin Li. Their work appears in journals such as Artificial Intelligence in Medicine, The Visual Computer, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Image Processing and Neural Networks.
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.