Ming Li
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 2%
Papers in
-
- Lung Cancer Diagnosis and Treatment 31
- Aortic Disease and Treatment Approaches 12
-
- Radiomics and Machine Learning in Medical Imaging 35
- Medical Imaging Techniques and Applications 14
- Radiation Dose and Imaging 12
- Co-authors
- Yanqing Hua (32 shared papers)Xiangpeng Zheng (15 shared papers)Yingli Sun (27 shared papers)Liang Jin (34 shared papers)Weijun Peng (4 shared papers)Shengjian Zhang (4 shared papers)Wenbo Bu (5 shared papers)Liangping Zhou (5 shared papers)
- Journals
- Frontiers in Oncology (13 papers)Scientific Reports (8 papers)Medicine (6 papers)Frontiers in Pharmacology (5 papers)European Radiology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
416 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 194
- Radiology, Nuclear Medicine and Imaging 1.0k
- Health Informatics 65
- Pulmonary and Respiratory Medicine 1.2k
- Cancer Research 491
- Biomedical Engineering 1.4k
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-authors
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
Showing the 20 most-cited of 444 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 380 | |
| 2 | 2012 | 175 | |
| 3 | 2018 | 166 | |
| 4 | 2014 | 137 | |
| 5 | 2014 | 137 | |
| 6 | 2010 | 132 | |
| 7 | 2020 | 131 | |
| 8 | 2012 | 124 | |
| 9 | 2015 | 120 | |
| 10 | 2014 | 117 | |
| 11 | 2012 | 105 | |
| 12 | 2020 | 103 | |
| 13 | 2007 | 102 | |
| 14 | 2019 | 96 | |
| 15 | 2005 | 94 | |
| 16 | 2012 | 92 | |
| 17 | 2003 | 91 | |
| 18 | 2018 | 88 | |
| 19 | 2003 | 86 | |
| 20 | 2020 | 82 |
About Ming Li
Ming Li is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering and Molecular Biology, having authored 444 papers that have together received 7.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (35 papers), Lung Cancer Diagnosis and Treatment (31 papers), Advanced X-ray and CT Imaging (24 papers), Medical Imaging Techniques and Applications (14 papers), Radiation Dose and Imaging (12 papers), Aortic Disease and Treatment Approaches (12 papers), MicroRNA in disease regulation (9 papers) and Hip and Femur Fractures (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Health Informatics (65 citations), Pulmonary and Respiratory Medicine (1.2k citations), Cancer Research (491 citations) and Biomedical Engineering (1.4k 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, Weijun Peng, Shengjian Zhang, Wenbo Bu, Liangping Zhou, Huaiyong Xing 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.