Kunwei Li
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies 5
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- Radiomics and Machine Learning in Medical Imaging 15
- COVID-19 diagnosis using AI 7
- Health Informatics top 0.5%
- Neurology top 1%
- Long-Term Effects of COVID-19 2
-
- Lung Cancer Diagnosis and Treatment 12
- Gastric Cancer Management and Outcomes 2
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- Advanced X-ray and CT Imaging 5
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- Esophageal Cancer Research and Treatment 3
- Co-authors
- Shaolin LiMingqian HuangHong ShanAdam JacobiYang YangXueyan MeiMichael ChungZahi A. Fayad
- Journals
- European Radiology (4 papers)Cancer Imaging (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kunwei Li
22 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 2.4k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Health Informatics 164
- Critical Care and Intensive Care Medicine 632
- Neurology 825
Countries citing papers authored by Kunwei Li
This map shows the geographic impact of Kunwei 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 Kunwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunwei Li more than expected).
Fields of papers citing papers by Kunwei Li
This network shows the impact of papers produced by Kunwei 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 Kunwei Li. The network helps show where Kunwei Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 12 | |
| 12 | CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)breakdown → | 2020 | 476 |
| 13 | 2020 | 48 | |
| 14 | 2020 | 35 | |
| 15 | Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infectionbreakdown → | 2020 | 1745 |
| 16 | 2020 | 50 | |
| 17 | CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)breakdown → | 2020 | 1865 |
| 18 | 2020 | 180 | |
| 19 | 2019 | 51 | |
| 20 | 2011 | 1 |
About Kunwei Li
Kunwei Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Infectious Diseases, Neurology and Biomedical Engineering, having authored 22 papers that have together received 4.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (12 papers), COVID-19 diagnosis using AI (7 papers), COVID-19 Clinical Research Studies (5 papers), Advanced X-ray and CT Imaging (5 papers), Esophageal Cancer Research and Treatment (3 papers), Gastric Cancer Management and Outcomes (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations), Health Informatics (164 citations), Critical Care and Intensive Care Medicine (632 citations) and Neurology (825 citations). Kunwei Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shaolin Li, Mingqian Huang, Hong Shan, Adam Jacobi, Yang Yang, Xueyan Mei, Michael Chung, Zahi A. Fayad, Ning Zhang and Adam Bernheim. Their work appears in journals such as European Radiology, Cancer Imaging, European Journal of Radiology, Radiology and International Journal of Radiation Oncology*Biology*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.