Guangbin Cui

3.8k total citations
116 papers, 2.6k citations indexed

About

Guangbin Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Guangbin Cui has authored 116 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Cognitive Neuroscience and 27 papers in Genetics. Recurrent topics in Guangbin Cui's work include Functional Brain Connectivity Studies (30 papers), Glioma Diagnosis and Treatment (27 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Guangbin Cui is often cited by papers focused on Functional Brain Connectivity Studies (30 papers), Glioma Diagnosis and Treatment (27 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Guangbin Cui collaborates with scholars based in China, United States and France. Guangbin Cui's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and The Journal of Physiology.

In The Last Decade

Guangbin Cui

110 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guangbin Cui China 29 1.2k 513 414 339 284 116 2.6k
Annette Förschler Germany 23 821 0.7× 323 0.6× 287 0.7× 348 1.0× 191 0.7× 43 2.4k
Kim Mouridsen Denmark 32 1.4k 1.2× 282 0.5× 787 1.9× 382 1.1× 111 0.4× 94 3.8k
Yangming Ou United States 24 1.1k 0.9× 209 0.4× 463 1.1× 293 0.9× 90 0.3× 95 2.5k
Lin Ma China 33 1.7k 1.4× 284 0.6× 945 2.3× 259 0.8× 226 0.8× 232 4.3k
Hong Yin China 36 1.6k 1.3× 262 0.5× 1.3k 3.2× 191 0.6× 290 1.0× 180 4.0k
Javier Arbizu Spain 36 1.4k 1.2× 969 1.9× 819 2.0× 311 0.9× 188 0.7× 119 4.3k
Francesca B. Pizzini Italy 31 901 0.7× 191 0.4× 519 1.3× 526 1.6× 117 0.4× 105 2.8k
Lex A. Mitchell United States 25 752 0.6× 431 0.8× 430 1.0× 100 0.3× 221 0.8× 54 2.7k
Karl Egger Germany 30 648 0.5× 282 0.5× 661 1.6× 233 0.7× 168 0.6× 110 2.7k
Erik H. Middlebrooks United States 28 803 0.7× 222 0.4× 557 1.3× 439 1.3× 301 1.1× 196 2.9k

Countries citing papers authored by Guangbin Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Guangbin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Guangbin Cui. A scholar is included among the top collaborators of Guangbin Cui 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 Guangbin Cui. Guangbin Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Bo, Ying Yu, Xiaofeng Yu, et al.. (2025). Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes. Nutrition and Diabetes. 15(1). 1–1.
2.
Yu, Ying, Gangfeng Li, Tao Zhang, et al.. (2025). Towards automatical tumor segmentation in radiomics: a comparative analysis of various methods and radiologists for both region extraction and downstream diagnosis. BMC Medical Imaging. 25(1). 63–63. 2 indexed citations
3.
Yu, Ying, Bo Hu, Xiaofeng Yu, et al.. (2025). Neurovascular decoupling of frontoparietal cortex-putamen-cerebellum network in type 2 diabetes patient: Potential biomarker for abnormal eating patterns. Diabetes Research and Clinical Practice. 224. 112175–112175.
4.
Yu, Ying, Yu Han, Wan Jiang, et al.. (2024). The Diagnostic Value of Conventional MRI Combined With Diffusion‐Weighted Imaging in Microprolactinomas. Journal of Magnetic Resonance Imaging. 61(3). 1155–1167.
5.
Li, Jingyuan, Karen M. von Deneen, Fan Xiao, et al.. (2023). MG-Net: Multi-level global-aware network for thymoma segmentation. Computers in Biology and Medicine. 155. 106635–106635. 2 indexed citations
6.
Li, Jingyuan, et al.. (2022). A hybrid network integrating convolution and transformer for thymoma segmentation. SHILAP Revista de lepidopterología. 3(3). 164–172. 2 indexed citations
7.
8.
Feng, Dan, Wen Wang, Lin‐Feng Yan, et al.. (2022). α-Subunit Tyrosine Phosphorylation Is Required for Activation of the Large Conductance Ca2+-Activated Potassium Channel in the Rabbit Sphincter of Oddi. American Journal Of Pathology. 192(12). 1725–1744. 2 indexed citations
9.
Yang, Yang, Yu Han, Xintao Hu, et al.. (2021). An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures. Frontiers in Neuroscience. 15. 683452–683452. 11 indexed citations
10.
Zhang, Wenchao, Gang Ji, Peter Manza, et al.. (2020). Connectome-Based Prediction of Optimal Weight Loss Six Months After Bariatric Surgery. Cerebral Cortex. 31(5). 2561–2573. 16 indexed citations
11.
Hu, Yang, Gang Ji, Guanya Li, et al.. (2020). Brain Connectivity, and Hormonal and Behavioral Correlates of Sustained Weight Loss in Obese Patients after Laparoscopic Sleeve Gastrectomy. Cerebral Cortex. 31(2). 1284–1295. 23 indexed citations
12.
Li, Guanya, Jia Wang, Karen M. von Deneen, et al.. (2020). Comparing the Impact of Laparoscopic Sleeve Gastrectomy and Gastric Cancer Surgery on Resting-State Brain Activity and Functional Connectivity. Frontiers in Neuroscience. 14. 614092–614092. 4 indexed citations
13.
Ren, Yuanyuan, Mingzhu Xu, Karen M. von Deneen, et al.. (2020). Acute and long-term effects of electroacupuncture alter frontal and insular cortex activity and functional connectivity during resting state. Psychiatry Research Neuroimaging. 298. 111047–111047. 7 indexed citations
14.
15.
Li, Bo, Gang Xiao, Gangfeng Li, et al.. (2019). Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters. European Radiology. 29(10). 5330–5340. 17 indexed citations
16.
Hu, Bo, Lin‐Feng Yan, Qian Sun, et al.. (2019). Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis. NeuroImage Clinical. 22. 101802–101802. 67 indexed citations
17.
Wang, Yuanyuan, Gang Ji, Yang Hu, et al.. (2019). Laparoscopic sleeve gastrectomy induces sustained changes in gray and white matter brain volumes and resting functional connectivity in obese patients. Surgery for Obesity and Related Diseases. 16(1). 1–9. 24 indexed citations
18.
Yan, Lin‐Feng, Ying‐Zhi Sun, Shasha Zhao, et al.. (2019). <p>Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?</p>. Cancer Management and Research. Volume 11. 9989–10000. 10 indexed citations
19.
Hu, Bo, Xu Wang, Jiebing He, et al.. (2018). Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trial. BMC Medical Imaging. 18(1). 26–26. 3 indexed citations
20.
Guo, Yanyan, Shuibing Liu, Guangbin Cui, et al.. (2011). Acute stress induces down‐regulation of large‐conductance Ca2+‐activated potassium channels in the lateral amygdala. The Journal of Physiology. 590(4). 875–886. 48 indexed citations

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.

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