Shaoting Zhang
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Health Informatics top 0.5%
Papers in
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- Medical Image Segmentation Techniques 82
- Advanced Neural Network Applications 60
- Advanced Image and Video Retrieval Techniques 38
- Image Retrieval and Classification Techniques 32
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- AI in cancer detection 77
- Domain Adaptation and Few-Shot Learning 23
- Co-authors
- Dimitris Metaxas (60 shared papers)Dimitris Metaxas (61 shared papers)Junzhou Huang (36 shared papers)Guotai Wang (68 shared papers)Xiaofan Zhang (16 shared papers)Kang Li (34 shared papers)Yiqiang Zhan (12 shared papers)Hongsheng Li (16 shared papers)
- Journals
- Medical Image Analysis (26 papers)IEEE Transactions on Medical Imaging (18 papers)Lecture notes in computer science (91 papers)Neurocomputing (8 papers)Pattern Recognition (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Shaoting Zhang
302 papers receiving 9.4k citations
Shaoting Zhang's Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 5.3k
- Health Informatics 195
- Radiology, Nuclear Medicine and Imaging 2.7k
- Artificial Intelligence 3.1k
- Neurology 574
Countries citing papers authored by Shaoting Zhang
This map shows the geographic impact of Shaoting Zhang'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 Shaoting Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoting Zhang more than expected).
Fields of papers citing papers by Shaoting Zhang
This network shows the impact of papers produced by Shaoting Zhang. 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 Shaoting Zhang. The network helps show where Shaoting Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoting Zhang, 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 331 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 406 |
| 2 | Multispectral Deep Neural Networks for Pedestrian Detection Hit paper breakdown → | 2016 | 382 |
| 3 | 2020 | 362 | |
| 4 | 2011 | 253 | |
| 5 | Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency Hit paper breakdown → | 2022 | 237 |
| 6 | 2010 | 233 | |
| 7 | 2016 | 226 | |
| 8 | 2011 | 217 | |
| 9 | 2017 | 180 | |
| 10 | 2014 | 179 | |
| 11 | 2013 | 175 | |
| 12 | Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency Hit paper breakdown → | 2021 | 166 |
| 13 | 2016 | 164 | |
| 14 | 2016 | 156 | |
| 15 | 2012 | 154 | |
| 16 | 2010 | 149 | |
| 17 | On the challenges and perspectives of foundation models for medical image analysis Hit paper breakdown → | 2023 | 148 |
| 18 | 2016 | 139 | |
| 19 | 2014 | 138 | |
| 20 | Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining Hit paper breakdown → | 2024 | 136 |
About Shaoting Zhang
Shaoting Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computational Mechanics, having authored 331 papers that have together received 9.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (82 papers), AI in cancer detection (77 papers), Advanced Neural Network Applications (60 papers), Radiomics and Machine Learning in Medical Imaging (46 papers), Advanced Image and Video Retrieval Techniques (38 papers), Image Retrieval and Classification Techniques (32 papers), COVID-19 diagnosis using AI (29 papers) and Domain Adaptation and Few-Shot Learning (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.3k citations), Health Informatics (195 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Artificial Intelligence (3.1k citations) and Neurology (574 citations). Shaoting Zhang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dimitris Metaxas, Dimitris Metaxas, Junzhou Huang, Guotai Wang, Xiaofan Zhang, Kang Li, Yiqiang Zhan, Hongsheng Li, Xiangde Luo and Tao Song. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture notes in computer science, Neurocomputing and Pattern Recognition.
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.