Cheng Li
Impact in
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- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 18
- Advanced MRI Techniques and Applications 18
- Medical Imaging Techniques and Applications 11
- MRI in cancer diagnosis 8
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- AI in cancer detection 14
- Co-authors
- Shanshan Wang (28 shared papers)Félix W. Wehrli (9 shared papers)Hairong Zheng (14 shared papers)Jeremy F. Magland (6 shared papers)Meiyun Wang (2 shared papers)Zaiyi Liu (2 shared papers)Jianping Jiang (8 shared papers)Feng Xie (8 shared papers)
- Journals
- Magnetic Resonance in Medicine (8 papers)Biomedical Signal Processing and Control (4 papers)Medical Physics (2 papers)IEEE Access (2 papers)Journal of Energy Storage (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cheng Li
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Radiology, Nuclear Medicine and Imaging 870
- Health Informatics 42
- Artificial Intelligence 402
- Computer Vision and Pattern Recognition 238
- Ecological Modeling 42
Countries citing papers authored by Cheng Li
This map shows the geographic impact of Cheng 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 Cheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Li more than expected).
Fields of papers citing papers by Cheng Li
This network shows the impact of papers produced by Cheng 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 Cheng Li. The network helps show where Cheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 115 | |
| 2 | 2019 | 106 | |
| 3 | 2011 | 65 | |
| 4 | 2010 | 63 | |
| 5 | 2012 | 60 | |
| 6 | 2020 | 56 | |
| 7 | 2021 | 55 | |
| 8 | 2021 | 51 | |
| 9 | 2020 | 50 | |
| 10 | 2005 | 47 | |
| 11 | 2015 | 45 | |
| 12 | 2012 | 43 | |
| 13 | 2011 | 41 | |
| 14 | 2011 | 38 | |
| 15 | 2022 | 32 | |
| 16 | 2021 | 31 | |
| 17 | 2013 | 28 | |
| 18 | 2019 | 26 | |
| 19 | 2014 | 25 | |
| 20 | 2011 | 24 |
About Cheng Li
Cheng Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Neurology, having authored 115 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced MRI Techniques and Applications (18 papers), AI in cancer detection (14 papers), Brain Tumor Detection and Classification (13 papers), Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers), Advanced X-ray and CT Imaging (9 papers) and MRI in cancer diagnosis (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (870 citations), Health Informatics (42 citations), Artificial Intelligence (402 citations), Computer Vision and Pattern Recognition (238 citations) and Ecological Modeling (42 citations). Cheng Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shanshan Wang, Félix W. Wehrli, Hairong Zheng, Jeremy F. Magland, Meiyun Wang, Zaiyi Liu, Jianping Jiang, Feng Xie, Qiegen Liu and Michael C. Langham. Their work appears in journals such as Magnetic Resonance in Medicine, Biomedical Signal Processing and Control, Medical Physics, IEEE Access and Journal of Energy Storage.
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.