Fenglei Fan
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Topics
- Neural Networks and Applications (11 papers)Medical Imaging Techniques and Applications (9 papers)Advanced X-ray and CT Imaging (9 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fenglei Fan
34 papers receiving 956 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Radiology, Nuclear Medicine and Imaging 307
- Artificial Intelligence 271
- Computer Vision and Pattern Recognition 270
- Biomedical Engineering 229
- Control and Systems Engineering 129
Countries citing papers authored by Fenglei Fan
This map shows the geographic impact of Fenglei 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 Fenglei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenglei Fan more than expected).
Fields of papers citing papers by Fenglei Fan
This network shows the impact of papers produced by Fenglei 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 Fenglei Fan. The network helps show where Fenglei Fan may publish in the future.
Co-authorship network of co-authors of Fenglei Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Fenglei Fan. A scholar is included among the top collaborators of Fenglei 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 Fenglei Fan. Fenglei 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 48 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Forest Volume Density Estimation Capability of ALOS PALSAR Data over Hilly Region | 6 |
About Fenglei Fan
Fenglei Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 974 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Health Informatics (20 citations), Computer Vision and Pattern Recognition (270 citations) and Radiology, Nuclear Medicine and Imaging (307 citations). Fenglei Fan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ge Wang, Jinjun Xiong, Mengzhou Li, Wenxiang Cong, Fei Wang, Dayang Wang, Hengyong Yu, Rui Liu, Zhan Wu and Hongming Shan. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and Applied Surface Science.
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.