Ming Li
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- Radiomics and Machine Learning in Medical Imaging 51
- Medical Imaging Techniques and Applications 28
- Radiation Dose and Imaging 20
- Cardiac Imaging and Diagnostics 14
- Health Informatics top 2%
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- Lung Cancer Diagnosis and Treatment 51
- Chronic Obstructive Pulmonary Disease (COPD) Research 15
- Cancer Research top 5%
- Biomedical Engineering top 2%
- Advanced X-ray and CT Imaging 37
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- Hip and Femur Fractures 15
- Co-authors
- Yanqing HuaXiangpeng ZhengYingli SunLiang JinLiangping ZhouWeijun PengHuaiyong XingShengjian Zhang
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
398 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 198
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 71
- Pulmonary and Respiratory Medicine 1.6k
- Cancer Research 572
- Biomedical Engineering 1.5k
Countries citing papers authored by Ming Li
This map shows the geographic impact of Ming 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 Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li more than expected).
Fields of papers citing papers by Ming Li
This network shows the impact of papers produced by Ming 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 Ming Li. The network helps show where Ming Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 42 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 31 | |
| 13 | 2023 | 2 | |
| 14 | MiR-195-3p is a Novel Prognostic Biomarker Associated with Immune Infiltrates of Lung Adenocarcinoma | 2022 | 12 |
| 15 | Association Between Blood PLT and RBC Related Indices and Disease Activity in Patients with Rheumatoid Arthritis | 2022 | 12 |
| 16 | 2022 | 43 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 3 | |
| 19 | 2018 | 29 | |
| 20 | 2016 | 40 |
About Ming Li
Ming Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Biomedical Engineering, having authored 428 papers that have together received 7.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (51 papers), Radiomics and Machine Learning in Medical Imaging (51 papers), Advanced X-ray and CT Imaging (37 papers), Medical Imaging Techniques and Applications (28 papers), Radiation Dose and Imaging (20 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), Hip and Femur Fractures (15 papers) and Cardiac Imaging and Diagnostics (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Health Informatics (71 citations), Pulmonary and Respiratory Medicine (1.6k citations), Cancer Research (572 citations) and Biomedical Engineering (1.5k citations). Ming Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanqing Hua, Xiangpeng Zheng, Yingli Sun, Liang Jin, Liangping Zhou, Weijun Peng, Huaiyong Xing, Shengjian Zhang, Wenbo Bu and Jianlin Shi. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, Medicine, Frontiers in Pharmacology and European 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.