Fumin Guo
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 26
-
- Atomic and Subatomic Physics Research 20
- Co-authors
- Grace Párraga (30 shared papers)David G. McCormack (17 shared papers)Sarah Svenningsen (16 shared papers)Dante P. I. Capaldi (18 shared papers)Aaron Fenster (14 shared papers)Khadija Sheikh (9 shared papers)Graham A. Wright (13 shared papers)MATTHEW MA‐TAI NG (10 shared papers)
- Journals
- Academic Radiology (5 papers)Medical Physics (5 papers)Magnetic Resonance in Medicine (5 papers)Medical Image Analysis (4 papers)Journal of Magnetic Resonance Imaging (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Fumin Guo
57 papers receiving 1k citations
Peers
Comparison fields: 5 of 60
- Health Informatics 53
- Computer Vision and Pattern Recognition 322
- Radiology, Nuclear Medicine and Imaging 251
- Pulmonary and Respiratory Medicine 263
- Atomic and Molecular Physics, and Optics 225
Countries citing papers authored by Fumin Guo
This map shows the geographic impact of Fumin Guo'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 Fumin Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumin Guo more than expected).
Fields of papers citing papers by Fumin Guo
This network shows the impact of papers produced by Fumin Guo. 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 Fumin Guo. The network helps show where Fumin Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fumin Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2014 | 60 | |
| 3 | 2021 | 57 | |
| 4 | 2016 | 56 | |
| 5 | 2014 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2018 | 50 | |
| 9 | 2015 | 42 | |
| 10 | 2018 | 37 | |
| 11 | 2022 | 33 | |
| 12 | 2022 | 32 | |
| 13 | 2022 | 32 | |
| 14 | 2015 | 30 | |
| 15 | 2017 | 29 | |
| 16 | 2015 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2020 | 21 | |
| 20 | 2016 | 18 |
About Fumin Guo
Fumin Guo is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (26 papers), Atomic and Subatomic Physics Research (20 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Advanced MRI Techniques and Applications (7 papers), Cardiac Imaging and Diagnostics (3 papers), Asthma and respiratory diseases (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper) and Topological and Geometric Data Analysis (1 paper). The work is most often cited by research in Health Informatics (53 citations), Computer Vision and Pattern Recognition (322 citations), Radiology, Nuclear Medicine and Imaging (251 citations), Pulmonary and Respiratory Medicine (263 citations) and Atomic and Molecular Physics, and Optics (225 citations). Fumin Guo has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Grace Párraga, David G. McCormack, Sarah Svenningsen, Dante P. I. Capaldi, Aaron Fenster, Khadija Sheikh, Graham A. Wright, MATTHEW MA‐TAI NG, Miranda Kirby and Rachel L. Eddy. Their work appears in journals such as Academic Radiology, Medical Physics, Magnetic Resonance in Medicine, Medical Image Analysis and Journal of Magnetic Resonance Imaging.
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.