Shaolin Li
Impact in
- Health Informatics top 0.5%
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 11
- COVID-19 diagnosis using AI 9
- Co-authors
- Kunwei Li (6 shared papers)Mingqian Huang (7 shared papers)Michael Chung (3 shared papers)Xueyan Mei (3 shared papers)Adam Bernheim (3 shared papers)Adam Jacobi (2 shared papers)Zahi A. Fayad (2 shared papers)Hong Shan (2 shared papers)
- Journals
- European Radiology (4 papers)Journal of Magnetic Resonance Imaging (4 papers)Radiology (2 papers)Oncology Reports (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shaolin Li
108 papers receiving 5.8k citations
Shaolin Li's Hit Papers
Peers
Comparison fields: 5 of 162
- Health Informatics 186
- Infectious Diseases 2.5k
- Radiology, Nuclear Medicine and Imaging 3.0k
- Critical Care and Intensive Care Medicine 640
- Aging 160
Countries citing papers authored by Shaolin Li
This map shows the geographic impact of Shaolin 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 Shaolin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Li more than expected).
Fields of papers citing papers by Shaolin Li
This network shows the impact of papers produced by Shaolin 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 Shaolin Li. The network helps show where Shaolin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) Hit paper breakdown → | 2020 | 1865 |
| 2 | Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection Hit paper breakdown → | 2020 | 1745 |
| 3 | CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19) Hit paper breakdown → | 2020 | 476 |
| 4 | 2020 | 180 | |
| 5 | 2020 | 79 | |
| 6 | Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018 Hit paper breakdown → | 2024 | 77 |
| 7 | 2017 | 68 | |
| 8 | 2016 | 56 | |
| 9 | 2016 | 56 | |
| 10 | 2017 | 50 | |
| 11 | 2011 | 49 | |
| 12 | 2021 | 48 | |
| 13 | 2012 | 47 | |
| 14 | 2019 | 46 | |
| 15 | 2014 | 46 | |
| 16 | 2008 | 42 | |
| 17 | 2015 | 40 | |
| 18 | 2003 | 38 | |
| 19 | 2018 | 38 | |
| 20 | 2020 | 37 |
About Shaolin Li
Shaolin Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Orthopedics and Sports Medicine, Rheumatology and Biomedical Engineering, having authored 110 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 Clinical Research Studies (10 papers), Bone and Joint Diseases (10 papers), COVID-19 diagnosis using AI (9 papers), Medical Imaging and Analysis (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Spine and Intervertebral Disc Pathology (7 papers) and Bone health and osteoporosis research (6 papers). The work is most often cited by research in Health Informatics (186 citations), Infectious Diseases (2.5k citations), Radiology, Nuclear Medicine and Imaging (3.0k citations), Critical Care and Intensive Care Medicine (640 citations) and Aging (160 citations). Shaolin Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kunwei Li, Mingqian Huang, Michael Chung, Xueyan Mei, Adam Bernheim, Adam Jacobi, Zahi A. Fayad, Hong Shan, Yang Yang and Ning Zhang. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Radiology, Oncology Reports and BioMed Research International.
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.