Qihang Yu
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Multimodal Machine Learning Applications
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Neural Network Applications 10
- Medical Image Segmentation Techniques 4
- Advanced Image and Video Retrieval Techniques 4
- Visual Attention and Saliency Detection 3
- Advanced Vision and Imaging 2
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Alan Yuille (12 shared papers)Yuyin Zhou (5 shared papers)Daguang Xu (2 shared papers)Yixiao Zhang (2 shared papers)Elliot K. Fishman (4 shared papers)Lingxi Xie (4 shared papers)Xiaosong Wang (1 shared paper)Ziyue Xu (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Theoretical and Applied Fracture Mechanics (1 paper)ACS Biomaterials Science & Engineering (1 paper)Medical Image Analysis (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Qihang Yu
20 papers receiving 958 citations
Qihang Yu's Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 615
- Radiology, Nuclear Medicine and Imaging 365
- Health Informatics 19
- Artificial Intelligence 405
- Neurology 94
Countries citing papers authored by Qihang Yu
This map shows the geographic impact of Qihang 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 Qihang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qihang Yu more than expected).
Fields of papers citing papers by Qihang Yu
This network shows the impact of papers produced by Qihang 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 Qihang Yu. The network helps show where Qihang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qihang 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
| # | Work | ||
|---|---|---|---|
| 1 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 287 |
| 2 | 2020 | 196 | |
| 3 | 2018 | 171 | |
| 4 | 2020 | 89 | |
| 5 | 2019 | 62 | |
| 6 | 2021 | 58 | |
| 7 | 2022 | 55 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 16 | |
| 10 | 2024 | 12 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 5 | |
| 13 | Thickened 2D Networks for 3D Medical Image Segmentation. | 2019 | 3 |
| 14 | 2024 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2021 | 2 | |
| 17 | Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. | 2017 | 1 |
| 18 | 2015 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2023 | 1 |
About Qihang Yu
Qihang Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Molecular Biology, having authored 20 papers that have together received 991 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Visual Attention and Saliency Detection (3 papers), Advanced Vision and Imaging (2 papers), Metal Forming Simulation Techniques (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Radiology, Nuclear Medicine and Imaging (365 citations), Health Informatics (19 citations), Artificial Intelligence (405 citations) and Neurology (94 citations). Qihang Yu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Alan Yuille, Yuyin Zhou, Daguang Xu, Yixiao Zhang, Elliot K. Fishman, Lingxi Xie, Xiaosong Wang, Ziyue Xu, Yan Wang and Yutong Bai. Their work appears in journals such as IEEE Transactions on Medical Imaging, Theoretical and Applied Fracture Mechanics, ACS Biomaterials Science & Engineering, Medical Image Analysis and Journal of Physics Conference Series.
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.