Guangbin Cui
Impact in
Papers in
-
- Functional Brain Connectivity Studies 25
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- Advanced Neuroimaging Techniques and Applications 15
- Advanced MRI Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Lin‐Feng Yan (48 shared papers)Wen Wang (35 shared papers)Yu‐Chuan Hu (29 shared papers)Yu Han (34 shared papers)Qiang Tian (15 shared papers)Hai‐Yan Nan (18 shared papers)Ying Yu (29 shared papers)Bo Hu (20 shared papers)
- Journals
- Frontiers in Neuroscience (7 papers)Brain Imaging and Behavior (7 papers)Cerebral Cortex (7 papers)Journal of Computer Assisted Tomography (5 papers)Journal of Magnetic Resonance Imaging (5 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Guangbin Cui
125 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 142
- Neurology 353
- Genetics 441
- Radiology, Nuclear Medicine and Imaging 830
- Biological Psychiatry 65
- Health Informatics 38
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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 239 | |
| 2 | 2018 | 186 | |
| 3 | 2017 | 135 | |
| 4 | 2017 | 112 | |
| 5 | 2019 | 93 | |
| 6 | 2018 | 81 | |
| 7 | 2019 | 78 | |
| 8 | 2014 | 74 | |
| 9 | 2017 | 67 | |
| 10 | 2013 | 64 | |
| 11 | 2020 | 60 | |
| 12 | 2010 | 60 | |
| 13 | 2021 | 50 | |
| 14 | 2019 | 50 | |
| 15 | 2011 | 49 | |
| 16 | 2018 | 49 | |
| 17 | 2018 | 48 | |
| 18 | 2018 | 48 | |
| 19 | 2024 | 43 | |
| 20 | 2014 | 41 |
About Guangbin Cui
Guangbin Cui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics, Neurology and Gastroenterology, having authored 135 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (25 papers), Glioma Diagnosis and Treatment (16 papers), Myasthenia Gravis and Thymoma (15 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (9 papers), Diet and metabolism studies (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Bariatric Surgery and Outcomes (7 papers). The work is most often cited by research in Neurology (353 citations), Genetics (441 citations), Radiology, Nuclear Medicine and Imaging (830 citations), Biological Psychiatry (65 citations) and Health Informatics (38 citations). Guangbin Cui has collaborated with scholars based in China, United States and France. Frequent co-authors include Lin‐Feng Yan, Wen Wang, Yu‐Chuan Hu, 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, Brain Imaging and Behavior, Cerebral Cortex, 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.