Fuqian Shi
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Networks and Communications top 5%
- Co-authors
- Nilanjan DeyAmira S. AshourR. Simon SherrattSimon FongJoão Manuel R. S. TavaresZairan LiDan WangLuminița Moraru
- Topics
- Diabetic Foot Ulcer Assessment and Management (11 papers)Digital Imaging for Blood Diseases (8 papers)Infrared Thermography in Medicine (8 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Fuqian Shi
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 445
- Artificial Intelligence 301
- Biomedical Engineering 287
- Radiology, Nuclear Medicine and Imaging 189
- Computer Networks and Communications 168
Countries citing papers authored by Fuqian Shi
This map shows the geographic impact of Fuqian Shi'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 Fuqian Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuqian Shi more than expected).
Fields of papers citing papers by Fuqian Shi
This network shows the impact of papers produced by Fuqian Shi. 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 Fuqian Shi. The network helps show where Fuqian Shi may publish in the future.
Co-authorship network of co-authors of Fuqian Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Fuqian Shi. A scholar is included among the top collaborators of Fuqian Shi 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 Fuqian Shi. Fuqian Shi 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 66 | |
| 8 | 19 | |
| 9 | 61 | |
| 10 | 50 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 136 | |
| 14 | 60 | |
| 15 | 3 | |
| 16 | 35 | |
| 17 | 63 | |
| 18 | 30 | |
| 19 | 7 | |
| 20 | 3 |
About Fuqian Shi
Fuqian Shi is a scholar working on Computer Vision and Pattern Recognition, Archeology and Neurology, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (11 papers), Digital Imaging for Blood Diseases (8 papers) and Infrared Thermography in Medicine (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (445 citations), Neurology (125 citations) and Signal Processing (106 citations). Fuqian Shi has collaborated with scholars based in China, India and United States. Frequent co-authors include Nilanjan Dey, Amira S. Ashour, R. Simon Sherratt, Simon Fong, João Manuel R. S. Tavares, Zairan Li, Dan Wang, Luminița Moraru, Jiang Xu and Shouqian Sun. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.
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.