Kai Yang
Impact in
-
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation top 1%
- Advanced Radiotherapy Techniques
Papers in
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- Medical Imaging Techniques and Applications 64
- Radiation Dose and Imaging 54
- Radiomics and Machine Learning in Medical Imaging 13
- Radiology practices and education 8
-
- Advanced X-ray and CT Imaging 70
- Co-authors
- John M. Boone (43 shared papers)Alexander L. C. Kwan (12 shared papers)Karen K. Lindfors (13 shared papers)Bob Liu (34 shared papers)Thomas R. Nelson (5 shared papers)Nathan J. Packard (12 shared papers)George W. Burkett (11 shared papers)Madan M. Rehani (8 shared papers)
- Journals
- Medical Physics (45 papers)Physics in Medicine and Biology (10 papers)European Radiology (5 papers)Physica Medica (4 papers)Journal of Applied Clinical Medical Physics (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kai Yang
132 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 1.9k
- Radiation 498
- Pulmonary and Respiratory Medicine 1.0k
- Biomedical Engineering 1.3k
- Geriatrics and Gerontology 31
Countries citing papers authored by Kai Yang
This map shows the geographic impact of Kai Yang'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 Kai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yang more than expected).
Fields of papers citing papers by Kai Yang
This network shows the impact of papers produced by Kai Yang. 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 Kai Yang. The network helps show where Kai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yang, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 279 | |
| 2 | 2006 | 173 | |
| 3 | 2019 | 125 | |
| 4 | 2006 | 118 | |
| 5 | 2006 | 109 | |
| 6 | 2008 | 98 | |
| 7 | 2009 | 92 | |
| 8 | 2011 | 91 | |
| 9 | 2018 | 64 | |
| 10 | 2017 | 57 | |
| 11 | 2015 | 53 | |
| 12 | 2008 | 51 | |
| 13 | 2016 | 49 | |
| 14 | 2011 | 49 | |
| 15 | 2015 | 47 | |
| 16 | 2007 | 47 | |
| 17 | 2014 | 46 | |
| 18 | 2009 | 44 | |
| 19 | 2012 | 37 | |
| 20 | 2007 | 34 |
About Kai Yang
Kai Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation and Artificial Intelligence, having authored 138 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (70 papers), Medical Imaging Techniques and Applications (64 papers), Radiation Dose and Imaging (54 papers), Digital Radiography and Breast Imaging (53 papers), Advanced Radiotherapy Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (12 papers) and Radiology practices and education (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Radiation (498 citations), Pulmonary and Respiratory Medicine (1.0k citations), Biomedical Engineering (1.3k citations) and Geriatrics and Gerontology (31 citations). Kai Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include John M. Boone, Alexander L. C. Kwan, Karen K. Lindfors, Bob Liu, Thomas R. Nelson, Nathan J. Packard, George W. Burkett, Madan M. Rehani, Xinhua Li and Di Yan. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, European Radiology, Physica Medica and Journal of Applied Clinical Medical Physics.
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.