Guangbin Cui
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 25
- Advanced Neuroimaging Techniques and Applications 23
- Advanced MRI Techniques and Applications 13
- MRI in cancer diagnosis 10
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- Functional Brain Connectivity Studies 30
- Co-authors
- Lin‐Feng Yan (42 shared papers)Yu‐Chuan Hu (29 shared papers)Wen Wang (34 shared papers)Yu Han (34 shared papers)Qiang Tian (15 shared papers)Hai‐Yan Nan (18 shared papers)Bo Hu (19 shared papers)Ying Yu (28 shared papers)
- Journals
- Frontiers in Neuroscience (7 papers)Cerebral Cortex (6 papers)Brain Imaging and Behavior (6 papers)Journal of Computer Assisted Tomography (5 papers)Journal of Magnetic Resonance Imaging (5 papers)
- Partner nations
- ChinaUnited StatesSouth Sudan
In The Last Decade
Guangbin Cui
110 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 1.2k
- Genetics 513
- Neurology 339
- Biological Psychiatry 73
- Health Informatics 35
Countries citing papers authored by Guangbin Cui
This map shows the geographic impact of Guangbin Cui'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 Guangbin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangbin Cui more than expected).
Fields of papers citing papers by Guangbin Cui
This network shows the impact of papers produced by Guangbin Cui. 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 Guangbin Cui. The network helps show where Guangbin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangbin Cui, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 210 | |
| 2 | 2018 | 175 | |
| 3 | 2017 | 124 | |
| 4 | 2017 | 101 | |
| 5 | 2019 | 85 | |
| 6 | 2018 | 75 | |
| 7 | 2014 | 69 | |
| 8 | 2019 | 67 | |
| 9 | 2013 | 60 | |
| 10 | 2017 | 59 | |
| 11 | 2020 | 53 | |
| 12 | 2010 | 51 | |
| 13 | 2011 | 48 | |
| 14 | 2018 | 48 | |
| 15 | 2019 | 47 | |
| 16 | 2018 | 45 | |
| 17 | 2019 | 40 | |
| 18 | 2014 | 39 | |
| 19 | 2019 | 37 | |
| 20 | 2017 | 36 |
About Guangbin Cui
Guangbin Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Genetics, Neurology and Surgery, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (30 papers), Glioma Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Advanced MRI Techniques and Applications (13 papers), Myasthenia Gravis and Thymoma (13 papers), MRI in cancer diagnosis (10 papers) and Diet and metabolism studies (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Genetics (513 citations), Neurology (339 citations), Biological Psychiatry (73 citations) and Health Informatics (35 citations). Guangbin Cui has collaborated with scholars based in China, United States and South Sudan. Frequent co-authors include Lin‐Feng Yan, Yu‐Chuan Hu, Wen Wang, Yu Han, Qiang Tian, Hai‐Yan Nan, Bo Hu, Ying Yu, Yang Yang and Ying‐Zhi Sun. Their work appears in journals such as Frontiers in Neuroscience, Cerebral Cortex, Brain Imaging and Behavior, Journal of Computer Assisted Tomography 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.