Yue Cui

4.0k total citations
99 papers, 2.4k citations indexed

About

Yue Cui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Yue Cui has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Psychiatry and Mental health. Recurrent topics in Yue Cui's work include Functional Brain Connectivity Studies (35 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Drug Transport and Resistance Mechanisms (10 papers). Yue Cui is often cited by papers focused on Functional Brain Connectivity Studies (35 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Drug Transport and Resistance Mechanisms (10 papers). Yue Cui collaborates with scholars based in China, Australia and United States. Yue Cui's co-authors include Curtis D. Klaassen, Tianzi Jiang, Lauren M. Aleksunes, Carolyn Penstein Rosé, Yuji Tanaka, Bing Liu, Jesse S. Jin, Wanlin Zhu, Armin Weinberger and Karsten Stegmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Yue Cui

91 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Cui China 30 782 494 424 368 323 99 2.4k
Shuyu Li China 33 680 0.9× 432 0.9× 513 1.2× 161 0.4× 118 0.4× 212 3.3k
Kazunori Matsumoto Japan 30 564 0.7× 609 1.2× 202 0.5× 45 0.1× 203 0.6× 204 2.9k
Yong Xu China 35 1.1k 1.4× 575 1.2× 485 1.1× 113 0.3× 69 0.2× 215 3.8k
Michael Krams United States 30 2.0k 2.5× 474 1.0× 232 0.5× 47 0.1× 315 1.0× 65 4.9k
John Zajicek United Kingdom 37 425 0.5× 526 1.1× 96 0.2× 230 0.6× 292 0.9× 91 5.1k
Erin M. Ramos United States 21 374 0.5× 1.2k 2.5× 168 0.4× 149 0.4× 321 1.0× 39 6.2k
William H. Martin United States 43 1.6k 2.1× 83 0.2× 982 2.3× 421 1.1× 295 0.9× 145 6.3k
Raymond Scott Turner United States 49 558 0.7× 849 1.7× 272 0.6× 332 0.9× 325 1.0× 141 7.4k
Clement T. Loy Australia 33 323 0.4× 880 1.8× 253 0.6× 138 0.4× 164 0.5× 82 4.0k

Countries citing papers authored by Yue Cui

Since Specialization
Citations

This map shows the geographic impact of Yue 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 Yue Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Cui more than expected).

Fields of papers citing papers by Yue Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue 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 Yue Cui. The network helps show where Yue Cui may publish in the future.

Co-authorship network of co-authors of Yue Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Cui. A scholar is included among the top collaborators of Yue 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 Yue Cui. Yue 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.
Jiang, Haiping, Liying Qian, Jingwen Zhang, et al.. (2025). Predictive value of plasma sB7-H3 and YKL-40 in pediatric refractory Mycoplasma pneumoniae pneumonia. Open Medicine. 20(1). 20241114–20241114.
2.
Yu, Shan, et al.. (2025). Parcellation of individual brains: From group level atlas to precise mapping. Neuroscience & Biobehavioral Reviews. 174. 106172–106172. 2 indexed citations
3.
Chen, Yanming, et al.. (2025). Optimizing vessel trajectories: Advanced denoising and interpolation techniques for AIS data. Ocean Engineering. 327. 120988–120988. 4 indexed citations
4.
Cui, Yue, Jialu Liu, Mingyang Zhao, et al.. (2024). FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA. Computers in Biology and Medicine. 170. 107996–107996. 5 indexed citations
5.
Lu, Yuheng, et al.. (2024). TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis. Medical Image Analysis. 97. 103297–103297. 1 indexed citations
6.
Cui, Yue, et al.. (2024). Multimodal Connectivity-Based Individual Parcellation and Analysis for Humans and Rhesus Monkeys. IEEE Transactions on Medical Imaging. 43(9). 3343–3353. 4 indexed citations
7.
Chen, Guoyou, Lizhe Wang, Yue Cui, et al.. (2023). Serum metabolomic analysis reveals key metabolites in drug treatment of central precocious puberty in female children. Frontiers in Molecular Neuroscience. 15. 972297–972297. 9 indexed citations
8.
Cui, Yue, et al.. (2023). Sleep Action Recognition Based on Segmentation Strategy. Journal of Imaging. 9(3). 60–60. 1 indexed citations
9.
Feng, Xiaoli, Yang Jiang, Yue Cui, et al.. (2022). NEK2 is associated with poor prognosis of clear cell renal cell carcinoma and promotes tumor cell growth and metastasis. Gene. 851. 147040–147040. 6 indexed citations
10.
Cui, Yue, et al.. (2022). Mapping blood traits to structural organization of the brain in rhesus monkeys. Cerebral Cortex. 33(2). 247–257. 2 indexed citations
11.
Luo, Na, Dongren Yao, Min Zhao, et al.. (2022). Aberrant brain dynamics and spectral power in children with ADHD and its subtypes. European Child & Adolescent Psychiatry. 32(11). 2223–2234. 23 indexed citations
12.
Li, Xiaochen, Yiying Wang, Yuntao Duan, et al.. (2022). Sodium propionate improves cognitive and memory function in mouse models of Alzheimer's disease. Neuroscience Letters. 791. 136887–136887. 13 indexed citations
13.
He, Yifan, Xiaoqing Zhang, Yong Shao, et al.. (2021). Recognition of asymptomatic hypercholanemia of pregnancy: Different clinical features, fetal outcomes and bile acids metabolism from intrahepatic cholestasis of pregnancy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(1). 166269–166269. 7 indexed citations
14.
Cui, Yue, Qianqian Li, Lin Tian, et al.. (2019). <p>Cortical thinning and flattening in schizophrenia and their unaffected parents</p>. Neuropsychiatric Disease and Treatment. Volume 15. 935–946. 18 indexed citations
15.
Yang, Yongfeng, Shu Liu, Xiaoyan Jiang, et al.. (2019). Common and Specific Functional Activity Features in Schizophrenia, Major Depressive Disorder, and Bipolar Disorder. Frontiers in Psychiatry. 10. 52–52. 50 indexed citations
16.
Dang, Yuanyuan, Yujin Zhang, Yaxin Li, et al.. (2018). Spinal Cord Stimulation Frequency Influences the Hemodynamic Response in Patients with Disorders of Consciousness. Neuroscience Bulletin. 34(4). 659–667. 21 indexed citations
17.
Song, Ming, Yi Yang, Jianghong He, et al.. (2018). Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics. eLife. 7. 68 indexed citations
18.
Liu, Jihong, et al.. (2011). Study of simulation technology for myocardial ion channels on pharmacological effects. Computing in Cardiology. 81–84. 1 indexed citations
19.
Prata, David Nadler, et al.. (2009). Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments. Educational Data Mining. 2009(1). 131–140. 32 indexed citations
20.
Kumar, Rohit, et al.. (2007). Supporting students working together on math with social dialogue. 96–99. 14 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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