Ying Cui

1.4k total citations
38 papers, 1.1k citations indexed

About

Ying Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Ying Cui has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cognitive Neuroscience and 6 papers in Epidemiology. Recurrent topics in Ying Cui's work include Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Advanced MRI Techniques and Applications (9 papers). Ying Cui is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Advanced MRI Techniques and Applications (9 papers). Ying Cui collaborates with scholars based in China, United States and France. Ying Cui's co-authors include Gao‐Jun Teng, Shenghong Ju, Yun Jiao, Song Wen, Yu‐Chen Chen, Jie Ding, Kun Wang, Bo Gao, Bing Luo and Chun‐Qiang Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Ying Cui

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Cui China 18 453 348 171 121 113 38 1.1k
Luqing Wei China 25 591 1.3× 315 0.9× 96 0.6× 109 0.9× 116 1.0× 80 1.4k
Jessica Alber United States 11 248 0.5× 283 0.8× 251 1.5× 191 1.6× 68 0.6× 32 1.0k
Junling Gao Hong Kong 18 315 0.7× 230 0.7× 60 0.4× 142 1.2× 155 1.4× 57 858
Philipp Meyer Germany 19 214 0.5× 180 0.5× 167 1.0× 152 1.3× 97 0.9× 57 1.3k
Liang Gong China 21 538 1.2× 218 0.6× 79 0.5× 161 1.3× 83 0.7× 85 1.3k
Junjie Wu China 17 356 0.8× 135 0.4× 157 0.9× 165 1.4× 34 0.3× 38 798
Xiaomei Zhong China 24 206 0.5× 137 0.4× 209 1.2× 307 2.5× 75 0.7× 103 1.4k
Xiao Wang China 23 786 1.7× 267 0.8× 279 1.6× 298 2.5× 176 1.6× 119 1.8k
Naoya Oishi Japan 23 346 0.8× 269 0.8× 195 1.1× 194 1.6× 51 0.5× 78 1.5k
Yuxia Li China 15 304 0.7× 171 0.5× 157 0.9× 237 2.0× 32 0.3× 47 735

Countries citing papers authored by Ying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cui. A scholar is included among the top collaborators of Ying 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 Ying Cui. Ying 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.
He, Xingyue, et al.. (2025). Development and external validation of a prediction model for prolonged intensive care unit stay in heart failure patients. European Journal of Cardiovascular Nursing. 24(6). 973–981.
2.
Sun, Hongguang, Tingting Zhang, Bo Zhang, et al.. (2025). The association between cognitive domains and suicidal ideation in patients with mild dementia: the crucial role of judgement domain. BMC Geriatrics. 25(1). 763–763.
3.
Guo, Yan, Yuxin Huang, Jianyu Li, et al.. (2024). A study on the association between prefrontal functional connectivity and non-suicidal self-injury in adolescents with depression. Frontiers in Neurology. 15. 1382136–1382136. 4 indexed citations
4.
Luan, Ying, Ying Cui, Yi Zhang, et al.. (2024). SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI. Journal of Imaging Informatics in Medicine. 38(3). 1681–1689.
5.
6.
Li, Guoshi, Yujie Liu, Yanting Zheng, et al.. (2021). Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder. NeuroImage Clinical. 31. 102758–102758. 18 indexed citations
7.
Lü, Tong, Zan Wang, Ying Cui, et al.. (2021). Disrupted Structural Brain Connectome Is Related to Cognitive Impairment in Patients With Ischemic Leukoaraiosis. Frontiers in Human Neuroscience. 15. 654750–654750. 8 indexed citations
8.
Cui, Ying, Tianyu Tang, Chun‐Qiang Lu, et al.. (2020). Abnormal Cingulum Bundle Induced by Type 2 Diabetes Mellitus: A Diffusion Tensor Tractography Study. Frontiers in Aging Neuroscience. 12. 594198–594198. 9 indexed citations
9.
Tang, Tianyu, Yun Jiao, Ying Cui, et al.. (2020). Penumbra-based radiomics signature as prognostic biomarkers for thrombolysis of acute ischemic stroke patients: a multicenter cohort study. Journal of Neurology. 267(5). 1454–1463. 35 indexed citations
10.
Liu, Yujie, Y. Chen, Xinyu Liang, et al.. (2020). Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder. Frontiers in Neurology. 11. 272–272. 43 indexed citations
11.
Li, Guoshi, Yujie Liu, Yanting Zheng, et al.. (2019). Large‐scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging. Human Brain Mapping. 41(4). 865–881. 58 indexed citations
12.
Tang, Tianyu, Yun Jiao, Ying Cui, et al.. (2018). Development and validation of a penumbra-based predictive model for thrombolysis outcome in acute ischemic stroke patients. EBioMedicine. 35. 251–259. 15 indexed citations
13.
Chen, Shuhui, et al.. (2016). Relation of retinopathy in patients with type 2 diabetes mellitus to other diabetic complications. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Chen, Yu‐Chen, et al.. (2016). Regional Coherence Alterations Revealed by Resting-State fMRI in Post-Stroke Patients with Cognitive Dysfunction. PLoS ONE. 11(7). e0159574–e0159574. 28 indexed citations
15.
Cui, Ying, Xia Liang, Hong Gu, et al.. (2016). Cerebral perfusion alterations in type 2 diabetes and its relation to insulin resistance and cognitive dysfunction. Brain Imaging and Behavior. 11(5). 1248–1257. 81 indexed citations
16.
Cui, Ying, Sufang Li, Hong Gu, et al.. (2016). Disrupted Brain Connectivity Patterns in Patients with Type 2 Diabetes. American Journal of Neuroradiology. 37(11). 2115–2122. 49 indexed citations
17.
Luo, Bing, Song Wen, Yuchen Chen, et al.. (2015). LOX-1-Targeted Iron Oxide Nanoparticles Detect Early Diabetic Nephropathy in db/db Mice. Molecular Imaging and Biology. 17(5). 652–660. 8 indexed citations
18.
Chen, Yuchen, Song Wen, Song’an Shang, et al.. (2013). Magnetic resonance and near-infrared imaging using a novel dual-modality nano-probe for dendritic cell tracking in vivo. Cytotherapy. 16(5). 699–710. 19 indexed citations
19.
20.
Zhu, Xiqi, Hua‐Jun Chen, Yu Wang, Ying Cui, & Gao‐Jun Teng. (2012). Aberrant Resting-State Corticostriatal Functional Connectivity in Cirrhotic Patients with Hyperintense Globus Pallidus on T1-Weighted MR Imaging. PLoS ONE. 7(11). e48886–e48886. 11 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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