Yu‐Chi Hu
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Medical Imaging Techniques and Applications 24
- Radiomics and Machine Learning in Medical Imaging 23
- Radiation 36
- Advanced Radiotherapy Techniques 35
- Co-authors
- G Mageras (23 shared papers)Kenneth E. Rosenzweig (3 shared papers)Joseph O. Deasy (12 shared papers)Jue Jiang (9 shared papers)Harini Veeraraghavan (6 shared papers)Andreas Rimner (15 shared papers)Qinghui Zhang (5 shared papers)Pengpeng Zhang (19 shared papers)
- Journals
- Medical Physics (17 papers)International Journal of Radiation Oncology*Biology*Physics (8 papers)Physics in Medicine and Biology (6 papers)Radiotherapy and Oncology (4 papers)Physics and Imaging in Radiation Oncology (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yu‐Chi Hu
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Radiation 686
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 603
- Computer Vision and Pattern Recognition 262
- Health Informatics 15
Countries citing papers authored by Yu‐Chi Hu
This map shows the geographic impact of Yu‐Chi 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 Yu‐Chi Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Hu more than expected).
Fields of papers citing papers by Yu‐Chi Hu
This network shows the impact of papers produced by Yu‐Chi 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 Yu‐Chi Hu. The network helps show where Yu‐Chi Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chi 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 255 | |
| 2 | 2018 | 191 | |
| 3 | 2007 | 144 | |
| 4 | 2018 | 126 | |
| 5 | 2000 | 100 | |
| 6 | 2010 | 96 | |
| 7 | 2003 | 48 | |
| 8 | 2007 | 42 | |
| 9 | 2019 | 37 | |
| 10 | 2012 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2016 | 31 | |
| 15 | 2013 | 26 | |
| 16 | 2001 | 23 | |
| 17 | 2023 | 21 | |
| 18 | 2020 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2012 | 16 |
About Yu‐Chi Hu
Yu‐Chi Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (35 papers), Medical Imaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Lung Cancer Diagnosis and Treatment (15 papers), Medical Image Segmentation Techniques (11 papers), Advanced X-ray and CT Imaging (8 papers), Head and Neck Cancer Studies (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Radiation (686 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (603 citations), Computer Vision and Pattern Recognition (262 citations) and Health Informatics (15 citations). Yu‐Chi Hu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include G Mageras, Kenneth E. Rosenzweig, Joseph O. Deasy, Jue Jiang, Harini Veeraraghavan, Andreas Rimner, Qinghui Zhang, Pengpeng Zhang, Ellen Yorke and Neelam Tyagi. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Radiotherapy and Oncology and Physics and Imaging in Radiation Oncology.
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.