Weimin Li
- Health Informatics top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 86
- Lung Cancer Diagnosis and Treatment 84
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- Radiomics and Machine Learning in Medical Imaging 59
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 24
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 35
- Lung Cancer Research Studies 28
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- RNA modifications and cancer 30
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- COVID-19 Clinical Research Studies 21
Weimin Li
450 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Health Informatics 167
- Pulmonary and Respiratory Medicine 2.7k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Cancer Research 1.2k
- Oncology 2.0k
Countries citing papers authored by Weimin Li
This map shows the geographic impact of Weimin 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 Weimin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weimin Li more than expected).
Fields of papers citing papers by Weimin Li
This network shows the impact of papers produced by Weimin 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 Weimin Li. The network helps show where Weimin Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weimin 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 16 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 1 | |
| 14 | COVID-19 in early 2021: current status and looking forwardbreakdown → | 2021 | 197 |
| 15 | 2018 | 149 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 4 | |
| 18 | [Value of fGGO in diagnosing stage I lung cancers]. | 2014 | 3 |
| 19 | 2012 | 5 | |
| 20 | 2009 | 79 |
About Weimin Li
Weimin Li is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 482 papers that have together received 9.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (86 papers), Lung Cancer Diagnosis and Treatment (84 papers), Radiomics and Machine Learning in Medical Imaging (59 papers), Cancer Immunotherapy and Biomarkers (35 papers), RNA modifications and cancer (30 papers), Lung Cancer Research Studies (28 papers), Cancer Genomics and Diagnostics (24 papers) and COVID-19 Clinical Research Studies (21 papers). The work is most often cited by research in Health Informatics (167 citations), Pulmonary and Respiratory Medicine (2.7k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations), Cancer Research (1.2k citations) and Oncology (2.0k citations). Weimin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chengdi Wang, Bojiang Chen, Jun Shao, Zhixin Qiu, Dan Liu, Hui Deng, Zhoufeng Wang, Panwen Tian, Kang Zhang and Dong Zhou. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, BMC Cancer, Medicine and Signal Transduction and Targeted Therapy.
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.