Ke Li
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Health Informatics top 5%
Papers in
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- Advanced X-ray and CT Imaging 85
- Photoacoustic and Ultrasonic Imaging 5
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- Medical Imaging Techniques and Applications 55
- Radiation Dose and Imaging 46
- Advanced MRI Techniques and Applications 14
- Co-authors
- Guang‐Hong Chen (92 shared papers)Jiliu Zhou (1 shared paper)Hu Chen (1 shared paper)Yi Zhang (1 shared paper)Ge Wang (1 shared paper)Peixi Liao (1 shared paper)Weihua Zhang (1 shared paper)John W. Garrett (20 shared papers)
- Journals
- Medical Physics (31 papers)Physics in Medicine and Biology (18 papers)IEEE Transactions on Medical Imaging (6 papers)European Radiology (3 papers)Abdominal Radiology (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ke Li
149 papers receiving 2.3k citations
Ke Li's Hit Papers
Peers
Comparison fields: 5 of 140
- Radiology, Nuclear Medicine and Imaging 1.2k
- Health Informatics 47
- Radiation 294
- Biomedical Engineering 952
- Structural Biology 19
Countries citing papers authored by Ke Li
This map shows the geographic impact of Ke Li'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 Ke Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Li more than expected).
Fields of papers citing papers by Ke Li
This network shows the impact of papers produced by Ke Li. 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 Ke Li. The network helps show where Ke Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Li, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | aLow-dose CT via convolutional neural network Hit paper breakdown → | 2017 | 561 |
| 2 | 2019 | 123 | |
| 3 | 2020 | 99 | |
| 4 | 2018 | 97 | |
| 5 | 2011 | 92 | |
| 6 | 2014 | 82 | |
| 7 | 2013 | 80 | |
| 8 | 2011 | 62 | |
| 9 | 2015 | 52 | |
| 10 | 2023 | 48 | |
| 11 | 2016 | 42 | |
| 12 | 2002 | 36 | |
| 13 | 2013 | 35 | |
| 14 | 2013 | 32 | |
| 15 | 2013 | 31 | |
| 16 | 2019 | 30 | |
| 17 | 2016 | 25 | |
| 18 | 2015 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2013 | 21 |
About Ke Li
Ke Li is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 158 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (85 papers), Medical Imaging Techniques and Applications (55 papers), Radiation Dose and Imaging (46 papers), Advanced X-ray Imaging Techniques (29 papers), Advanced MRI Techniques and Applications (14 papers), Digital Radiography and Breast Imaging (11 papers), Laser-Plasma Interactions and Diagnostics (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (47 citations), Radiation (294 citations), Biomedical Engineering (952 citations) and Structural Biology (19 citations). Ke Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Guang‐Hong Chen, Jiliu Zhou, Hu Chen, Yi Zhang, Ge Wang, Peixi Liao, Weihua Zhang, John W. Garrett, Yinsheng Li and Nicholas Bevins. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, European Radiology and Abdominal Radiology.
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.