Yipeng Hu
Impact in
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Medical Image Segmentation Techniques 34
- Advanced Neural Network Applications 27
-
- Radiomics and Machine Learning in Medical Imaging 18
- COVID-19 diagnosis using AI 8
- Ultrasound Imaging and Elastography 7
- Co-authors
- Dean C. Barratt (79 shared papers)Mark Emberton (38 shared papers)Eli Gibson (14 shared papers)Hashim Uddin Ahmed (25 shared papers)Ester Bonmati (22 shared papers)Steven Bandula (8 shared papers)Matthew J. Clarkson (29 shared papers)Tom K. Vercauteren (12 shared papers)
- Journals
- Medical Image Analysis (13 papers)International Journal of Computer Assisted Radiology and Surgery (7 papers)The Journal of Urology (7 papers)IEEE Transactions on Medical Imaging (5 papers)Lecture notes in computer science (37 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yipeng Hu
138 papers receiving 3.6k citations
Yipeng Hu's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 107
- Radiology, Nuclear Medicine and Imaging 1.2k
- Computer Vision and Pattern Recognition 1.1k
- Pulmonary and Respiratory Medicine 1.1k
- Neurology 183
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-authors
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
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks Hit paper breakdown → | 2018 | 538 |
| 2 | NiftyNet: a deep-learning platform for medical imaging Hit paper breakdown → | 2018 | 433 |
| 3 | 2018 | 327 | |
| 4 | 2011 | 239 | |
| 5 | 2010 | 141 | |
| 6 | 2017 | 89 | |
| 7 | 2018 | 89 | |
| 8 | 2012 | 79 | |
| 9 | 2012 | 69 | |
| 10 | 2014 | 64 | |
| 11 | 2022 | 58 | |
| 12 | 2017 | 57 | |
| 13 | 2019 | 57 | |
| 14 | 2020 | 54 | |
| 15 | 2013 | 45 | |
| 16 | 2018 | 45 | |
| 17 | 2011 | 44 | |
| 18 | 2017 | 42 | |
| 19 | 2013 | 42 | |
| 20 | 2018 | 41 |
About Yipeng Hu
Yipeng Hu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Artificial Intelligence, having authored 143 papers that have together received 3.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (41 papers), Medical Image Segmentation Techniques (34 papers), Advanced Neural Network Applications (27 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging and Analysis (17 papers), COVID-19 diagnosis using AI (8 papers), AI in cancer detection (8 papers) and Ultrasound Imaging and Elastography (7 papers). The work is most often cited by research in Health Informatics (107 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Computer Vision and Pattern Recognition (1.1k citations), Pulmonary and Respiratory Medicine (1.1k citations) and Neurology (183 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 Uddin Ahmed, Ester Bonmati, Steven Bandula, Matthew J. Clarkson, Tom K. Vercauteren, Caroline M. Moore and Brian Ritchie Davidson. 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 Lecture notes in computer science.
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.