Ming Fan
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Lihua LiXin GaoJuan ZhangYu LiCheng HuRamzan UmarovPeng ZhangShiwei Wang
- Topics
- Radiomics and Machine Learning in Medical Imaging (37 papers)MRI in cancer diagnosis (24 papers)AI in cancer detection (22 papers)
- Partner nations
- ChinaSaudi ArabiaUnited States
In The Last Decade
Ming Fan
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 145
- Radiology, Nuclear Medicine and Imaging 934
- Artificial Intelligence 470
- Molecular Biology 381
- Cancer Research 173
- Pulmonary and Respiratory Medicine 166
Countries citing papers authored by Ming Fan
This map shows the geographic impact of Ming Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fan more than expected).
Fields of papers citing papers by Ming Fan
This network shows the impact of papers produced by Ming Fan. 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 Fan. The network helps show where Ming Fan may publish in the future.
Co-authorship network of co-authors of Ming Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Fan. A scholar is included among the top collaborators of Ming Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Fan. Ming Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 48 | |
| 12 | 11 | |
| 13 | 65 | |
| 14 | 23 | |
| 15 | 38 | |
| 16 | 62 | |
| 17 | 1 | |
| 18 | 128 | |
| 19 | 39 | |
| 20 | 8 |
About Ming Fan
Ming Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Artificial Intelligence, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (37 papers), MRI in cancer diagnosis (24 papers) and AI in cancer detection (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (934 citations), Health Informatics (50 citations) and Artificial Intelligence (470 citations). Ming Fan has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Lihua Li, Xin Gao, Juan Zhang, Yu Li, Cheng Hu, Ramzan Umarov, Peng Zhang, Shiwei Wang, Sheng Wang and Bingqing Xie. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.