Shuyue Guan
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Biomedical Engineering
- Co-authors
- Murray H. LoewAnge LouHanseok KoNarine SarvazyanHuda AsfourLuther SwiftMingming ZhangDawei Qi
- Topics
- AI in cancer detection (12 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Partner nations
- United StatesPakistanChina
In The Last Decade
Shuyue Guan
25 papers receiving 542 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 263
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 232
- Oncology 70
- Biomedical Engineering 61
Countries citing papers authored by Shuyue Guan
This map shows the geographic impact of Shuyue Guan'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 Shuyue Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuyue Guan more than expected).
Fields of papers citing papers by Shuyue Guan
This network shows the impact of papers produced by Shuyue Guan. 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 Shuyue Guan. The network helps show where Shuyue Guan may publish in the future.
Co-authorship network of co-authors of Shuyue Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Shuyue Guan. A scholar is included among the top collaborators of Shuyue Guan 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 Shuyue Guan. Shuyue Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 2 | |
| 3 | 71 | |
| 4 | 1 | |
| 5 | 93 | |
| 6 | 7 | |
| 7 | 107 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 54 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Shuyue Guan
Shuyue Guan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 27 papers that have together received 556 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Radiology, Nuclear Medicine and Imaging (263 citations) and Health Informatics (12 citations). Shuyue Guan has collaborated with scholars based in United States, Pakistan and China. Frequent co-authors include Murray H. Loew, Ange Lou, Hanseok Ko, Narine Sarvazyan, Huda Asfour, Luther Swift, Mingming Zhang, Dawei Qi, Weijie Chen and Hongbo Mu. Their work appears in journals such as Computers in Biology and Medicine, Biomedical Optics Express and Applied Intelligence.
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.