Dong Cui

1.0k total citations · 1 hit paper
67 papers, 751 citations indexed

About

Dong Cui is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dong Cui has authored 67 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 23 papers in Psychiatry and Mental health and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dong Cui's work include Functional Brain Connectivity Studies (32 papers), Bipolar Disorder and Treatment (17 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Dong Cui is often cited by papers focused on Functional Brain Connectivity Studies (32 papers), Bipolar Disorder and Treatment (17 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Dong Cui collaborates with scholars based in China, Australia and Hong Kong. Dong Cui's co-authors include Rongxin Cui, Xin Zhang, Jianfeng Qiu, Qing Jiao, Weizhao Lu, Weifang Cao, Fenglian Zheng, Weijia Gao, Linyan Su and Guangming Lu and has published in prestigious journals such as NeuroImage, Neuroscience and Cerebral Cortex.

In The Last Decade

Dong Cui

57 papers receiving 745 citations

Hit Papers

Adaptive sliding-mode attitude control for autonomous und... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities
    2016 281 citations Dong Cui et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Cui China 12 279 249 198 166 112 67 751
Shingo Shimoda Japan 19 361 1.3× 196 0.8× 54 0.3× 28 0.2× 12 0.1× 108 1.1k
Jean Honorio United States 14 426 1.5× 43 0.2× 102 0.5× 41 0.2× 52 0.5× 36 1.1k
Behnaz Ghoraani United States 16 177 0.6× 48 0.2× 103 0.5× 8 0.0× 42 0.4× 84 1.1k
Yiqin Yang China 10 92 0.3× 22 0.1× 74 0.4× 20 0.1× 45 0.4× 16 376
Shuai Cao China 19 339 1.2× 38 0.2× 123 0.6× 94 0.6× 14 0.1× 48 990
M. Kemal Kıymık Türkiye 13 645 2.3× 70 0.3× 39 0.2× 9 0.1× 43 0.4× 23 1.0k
Amir Adeli United States 14 1.7k 6.2× 49 0.2× 197 1.0× 12 0.1× 59 0.5× 24 2.2k
Tracey Cassar Malta 6 666 2.4× 25 0.1× 63 0.3× 12 0.1× 106 0.9× 12 860
Yisheng Zhu China 18 671 2.4× 57 0.2× 26 0.1× 6 0.0× 142 1.3× 125 1.4k

Countries citing papers authored by Dong Cui

Since Specialization
Citations

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

Fields of papers citing papers by Dong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Cui. A scholar is included among the top collaborators of Dong 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 Dong Cui. Dong 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.
Gao, Weijia, Qingli Mu, Dong Cui, et al.. (2025). Alterations of subcortical structural volume in pediatric bipolar disorder patients with and without psychotic symptoms. Psychiatry Research Neuroimaging. 347. 111948–111948. 1 indexed citations
2.
Mu, Qingli, Kejing Zhang, Shaohua Hu, et al.. (2025). Altered brain structure age gap estimation in major depressive disorder patients with and without anhedonia: a machine learning-based study. Translational Psychiatry. 15(1). 309–309.
3.
4.
Mu, Qingli, Kejing Zhang, Shaohua Hu, et al.. (2025). Abnormal Structure–Function Coupling in Major Depressive Disorder Patients With and Without Anhedonia. Depression and Anxiety. 2025(1). 1925158–1925158.
5.
Zhang, Ying, Dong Cui, Chung Yin Kong, et al.. (2025). Association between urinary trace elements levels and depressive symptoms among the older population. Experimental Gerontology. 202. 112709–112709.
6.
Liu, Haiqin, Weijia Gao, Qing Jiao, et al.. (2024). Structural and functional disruption of subcortical limbic structures related with executive function in pediatric bipolar disorder. Journal of Psychiatric Research. 175. 461–469.
7.
Gao, Weijia, Yue Chen, Dong Cui, et al.. (2024). Alterations of subcortical structure volume in pediatric bipolar disorder patients with manic or depressive first-episode. BMC Psychiatry. 24(1). 762–762. 1 indexed citations
8.
Shi, Yajun, et al.. (2024). Exploring sexual dimorphism in basal forebrain volume changes during aging and neurodegenerative diseases. iScience. 27(3). 109041–109041. 3 indexed citations
9.
Cui, Dong, et al.. (2023). Stably and reliably targeting parietal-hippocampal function connectivity for personalized transcranial magnetic stimulation: A pilot study. Biomedical Signal Processing and Control. 90. 105725–105725. 1 indexed citations
10.
11.
Jiao, Qing, Dong Cui, Yong‐Xin Guo, et al.. (2023). Age-associated cortical similarity networks correlate with cell type-specific transcriptional signatures. Cerebral Cortex. 34(1). 2 indexed citations
12.
Mu, Qingli, Dong Cui, Kejing Zhang, et al.. (2023). Volume changes of the subcortical limbic structures in major depressive disorder patients with and without anhedonia. Psychiatry Research Neuroimaging. 336. 111747–111747. 8 indexed citations
13.
Gao, Weijia, Weifang Cao, Yong‐Xin Guo, et al.. (2023). Cortical thickness alterations are associated with astrocytes and excitatory neuron-specific transcriptome signatures in pediatric bipolar disorder. Cerebral Cortex. 33(12). 7540–7552. 6 indexed citations
14.
Shi, Yajun, Dong Cui, Fengzhu Sun, et al.. (2023). Sex differences in structural covariance network based on MRI cortical morphometry: effects on episodic memory. Cerebral Cortex. 33(13). 8645–8653. 5 indexed citations
15.
Cui, Dong, et al.. (2020). A hybrid-order strategy to accelerate a high-order fast sweep method. Journal of Geophysics and Engineering. 17(4). 661–669. 2 indexed citations
16.
17.
Cui, Dong, Xinfeng Liu, Minmin Liu, et al.. (2019). Subcortical gray matter structural alterations in prediabetes and type 2 diabetes. Neuroreport. 30(6). 441–445. 13 indexed citations
18.
Lu, Weizhao, et al.. (2019). Quality assurance of human functional magnetic resonance imaging: a literature review. Quantitative Imaging in Medicine and Surgery. 9(6). 1147–1162. 25 indexed citations
19.
Zheng, Fenglian, Dong Cui, Li Zhang, et al.. (2018). The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan. Frontiers in Aging Neuroscience. 10. 320–320. 76 indexed citations
20.
Cui, Dong, et al.. (2015). The Application of Wavelet-domain Hidden Markov Tree Model in DiabeticRetinal Image Denoising. The Open Biomedical Engineering Journal. 9(1). 194–198. 2 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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