Shaode Yu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Image and Video Quality Assessment 15
- Advanced Image Processing Techniques 9
- Image Enhancement Techniques 9
- Medical Image Segmentation Techniques 9
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- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Yaoqin Xie (44 shared papers)Xiaokun Liang (11 shared papers)Zhicheng Zhang (10 shared papers)Shibin Wu (18 shared papers)Fan Jiang (4 shared papers)Wenjian Qin (5 shared papers)Zhi-Cheng Li (2 shared papers)Hanqiu Xu (2 shared papers)
- Journals
- Electronics (4 papers)BioMed Research International (3 papers)Neuroscience (2 papers)Physics in Medicine and Biology (2 papers)Frontiers in Aging Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shaode Yu
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 401
- Media Technology 139
- Computer Vision and Pattern Recognition 318
- Neurology 95
- Artificial Intelligence 339
Countries citing papers authored by Shaode Yu
This map shows the geographic impact of Shaode Yu'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 Shaode Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaode Yu more than expected).
Fields of papers citing papers by Shaode Yu
This network shows the impact of papers produced by Shaode Yu. 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 Shaode Yu. The network helps show where Shaode Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaode Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2019 | 98 | |
| 3 | 2017 | 71 | |
| 4 | 2020 | 57 | |
| 5 | 2017 | 55 | |
| 6 | 2018 | 46 | |
| 7 | 2017 | 43 | |
| 8 | 2016 | 40 | |
| 9 | 2018 | 39 | |
| 10 | 2020 | 37 | |
| 11 | 2013 | 28 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2013 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2021 | 18 | |
| 19 | 2024 | 17 | |
| 20 | 2019 | 17 |
About Shaode Yu
Shaode Yu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Cognitive Neuroscience and Neurology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (15 papers), Advanced Image Processing Techniques (9 papers), Advanced Image Fusion Techniques (9 papers), Image Enhancement Techniques (9 papers), Medical Image Segmentation Techniques (9 papers), AI in cancer detection (9 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (401 citations), Media Technology (139 citations), Computer Vision and Pattern Recognition (318 citations), Neurology (95 citations) and Artificial Intelligence (339 citations). Shaode Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yaoqin Xie, Xiaokun Liang, Zhicheng Zhang, Shibin Wu, Fan Jiang, Wenjian Qin, Zhi-Cheng Li, Hanqiu Xu, Leida Li and Kai Li. Their work appears in journals such as Electronics, BioMed Research International, Neuroscience, Physics in Medicine and Biology and Frontiers in Aging Neuroscience.
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.