Stephen Yip
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 4
- Optical Imaging and Spectroscopy Techniques 1
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- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Hugo J.W.L. Aerts (10 shared papers)David N. Louis (4 shared papers)A. John Iafrate (2 shared papers)Jiangyong Miao (1 shared paper)Ken Aldape (1 shared paper)Catherine L. Nutt (1 shared paper)Daniel P. Cahill (1 shared paper)Chintan Parmar (4 shared papers)
- Journals
- Medical Physics (9 papers)PLoS ONE (2 papers)Physics in Medicine and Biology (1 paper)Clinical Cancer Research (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Stephen Yip
22 papers receiving 1.9k citations
Stephen Yip's Hit Papers
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 986
- Genetics 315
- Health Informatics 35
- Cancer Research 203
- Pulmonary and Respiratory Medicine 348
Countries citing papers authored by Stephen Yip
This map shows the geographic impact of Stephen Yip'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 Stephen Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Yip more than expected).
Fields of papers citing papers by Stephen Yip
This network shows the impact of papers produced by Stephen Yip. 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 Stephen Yip. The network helps show where Stephen Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Yip, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Applications and limitations of radiomics Hit paper breakdown → | 2016 | 901 |
| 2 | 2009 | 303 | |
| 3 | 2016 | 133 | |
| 4 | 2011 | 103 | |
| 5 | 2017 | 86 | |
| 6 | 2008 | 80 | |
| 7 | 2014 | 60 | |
| 8 | 2016 | 53 | |
| 9 | 2010 | 52 | |
| 10 | 2017 | 48 | |
| 11 | 2017 | 37 | |
| 12 | 2018 | 15 | |
| 13 | 2014 | 15 | |
| 14 | Stem-cell based therapies for brain tumors. | 2008 | 12 |
| 15 | 2014 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Stephen Yip
Stephen Yip is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Molecular Biology and Genetics, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Radiotherapy Techniques (7 papers), Medical Imaging Techniques and Applications (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Glioma Diagnosis and Treatment (2 papers), Bone and Joint Diseases (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (986 citations), Genetics (315 citations), Health Informatics (35 citations), Cancer Research (203 citations) and Pulmonary and Respiratory Medicine (348 citations). Stephen Yip has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Hugo J.W.L. Aerts, David N. Louis, A. John Iafrate, Jiangyong Miao, Ken Aldape, Catherine L. Nutt, Daniel P. Cahill, Chintan Parmar, Thibaud Coroller and Elizabeth Huynh. Their work appears in journals such as Medical Physics, PLoS ONE, Physics in Medicine and Biology, Clinical Cancer Research and Oncogene.
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.