Guangbin Cui
Impact in
Papers in
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- Functional Brain Connectivity Studies 23
- Neural and Behavioral Psychology Studies 5
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- Advanced Neuroimaging Techniques and Applications 13
- Advanced MRI Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 7
- 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)Ying Yu (28 shared papers)Bo Hu (19 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
111 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 132
- Genetics 411
- Neurology 309
- Radiology, Nuclear Medicine and Imaging 741
- Biological Psychiatry 63
- Health Informatics 27
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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 213 | |
| 2 | 2018 | 176 | |
| 3 | 2017 | 126 | |
| 4 | 2017 | 103 | |
| 5 | 2019 | 90 | |
| 6 | 2018 | 76 | |
| 7 | 2019 | 71 | |
| 8 | 2014 | 70 | |
| 9 | 2013 | 60 | |
| 10 | 2017 | 60 | |
| 11 | 2020 | 55 | |
| 12 | 2010 | 52 | |
| 13 | 2011 | 49 | |
| 14 | 2018 | 48 | |
| 15 | 2019 | 48 | |
| 16 | 2018 | 45 | |
| 17 | 2014 | 40 | |
| 18 | 2019 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2021 | 38 |
About Guangbin Cui
Guangbin Cui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics, Neurology and Surgery, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Glioma Diagnosis and Treatment (16 papers), Myasthenia Gravis and Thymoma (14 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Gastrointestinal motility and disorders (6 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Genetics (411 citations), Neurology (309 citations), Radiology, Nuclear Medicine and Imaging (741 citations), Biological Psychiatry (63 citations) and Health Informatics (27 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, Ying Yu, Bo Hu, 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.