Yipeng Hu
- Health Informatics top 1%
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- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 7
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- Medical Image Segmentation Techniques 22
- Advanced Neural Network Applications 15
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- Prostate Cancer Diagnosis and Treatment 33
- Prostate Cancer Treatment and Research 12
- Radiation top 5%
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- Medical Imaging and Analysis 14
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- Nonlinear Dynamics and Pattern Formation 6
- Co-authors
- Dean C. BarrattMark EmbertonEli GibsonHashim U. AhmedEster BonmatiMatthew J. ClarksonDavid J. HawkesBrian R Davidson
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Medical Image Analysis (14 papers)International Journal of Computer Assisted Radiology and Surgery (7 papers)The Journal of Urology (6 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yipeng Hu
87 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 99
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 871
- Pulmonary and Respiratory Medicine 938
- Radiation 172
Countries citing papers authored by Yipeng Hu
This map shows the geographic impact of Yipeng Hu'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 Yipeng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipeng Hu more than expected).
Fields of papers citing papers by Yipeng Hu
This network shows the impact of papers produced by Yipeng Hu. 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 Yipeng Hu. The network helps show where Yipeng Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yipeng Hu, 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 | 2 | |
| 2 | 2025 | 8 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 28 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 18 | |
| 19 | NiftyNet: a deep-learning platform for medical imagingbreakdown → | 2018 | 363 |
| 20 | Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networksbreakdown → | 2018 | 472 |
About Yipeng Hu
Yipeng Hu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (33 papers), Medical Image Segmentation Techniques (22 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced Neural Network Applications (15 papers), Medical Imaging and Analysis (14 papers), Prostate Cancer Treatment and Research (12 papers), MRI in cancer diagnosis (7 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Health Informatics (99 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Computer Vision and Pattern Recognition (871 citations). Yipeng Hu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Dean C. Barratt, Mark Emberton, Eli Gibson, Hashim U. Ahmed, Ester Bonmati, Matthew J. Clarkson, David J. Hawkes, Brian R Davidson, Caroline M. Moore and Stephen P. Pereira. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, The Journal of Urology, IEEE Transactions on Medical Imaging and Chaos Solitons & Fractals.
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.