Fei Shan
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Infectious Diseases top 2%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 5%
- Neurology top 5%
- Co-authors
- Nannan ShiYuxin ShiZhiyong ZhangHongzhou LuFengxiang SongJie ShenYun LingYebin Jiang
- Topics
- Radiomics and Machine Learning in Medical Imaging (30 papers)COVID-19 diagnosis using AI (27 papers)Lung Cancer Diagnosis and Treatment (23 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Fei Shan
73 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Radiology, Nuclear Medicine and Imaging 1.7k
- Infectious Diseases 817
- Artificial Intelligence 566
- Pulmonary and Respiratory Medicine 560
- Neurology 287
Countries citing papers authored by Fei Shan
This map shows the geographic impact of Fei Shan'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 Fei Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Shan more than expected).
Fields of papers citing papers by Fei Shan
This network shows the impact of papers produced by Fei Shan. 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 Fei Shan. The network helps show where Fei Shan may publish in the future.
Co-authorship network of co-authors of Fei Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Fei Shan. A scholar is included among the top collaborators of Fei Shan 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 Fei Shan. Fei Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 138 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 56 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | Recent major advances in the studies on Qinghaosu and related antimalarial agents | 3 |
About Fei Shan
Fei Shan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), COVID-19 diagnosis using AI (27 papers) and Lung Cancer Diagnosis and Treatment (23 papers). The work is most often cited by research in Health Informatics (218 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Infectious Diseases (817 citations). Fei Shan has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Nannan Shi, Yuxin Shi, Zhiyong Zhang, Hongzhou Lu, Fengxiang Song, Jie Shen, Yun Ling, Yebin Jiang, Yaozong Gao and Yuxin Shi. Their work appears in journals such as Journal of the American Chemical Society, Biomaterials and 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.