Zaixu Cui

5.3k total citations · 3 hit papers
67 papers, 2.4k citations indexed

About

Zaixu Cui is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Zaixu Cui has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 24 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Zaixu Cui's work include Functional Brain Connectivity Studies (44 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Neural dynamics and brain function (17 papers). Zaixu Cui is often cited by papers focused on Functional Brain Connectivity Studies (44 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Neural dynamics and brain function (17 papers). Zaixu Cui collaborates with scholars based in China, United States and United Kingdom. Zaixu Cui's co-authors include Gaolang Gong, Yong He, Suyu Zhong, Pengfei Xu, Mengmeng Su, Hua Shu, Theodore D. Satterthwaite, Tyler M. Moore, Zhichao Xia and Raquel E. Gur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Zaixu Cui

65 papers receiving 2.4k citations

Hit Papers

PANDA: a pipeline toolbox for analyzing brain diffusion i... 2013 2026 2017 2021 2013 2019 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaixu Cui China 22 1.6k 954 478 319 230 67 2.4k
Pengfei Xu China 25 1.7k 1.1× 714 0.7× 553 1.2× 359 1.1× 182 0.8× 95 2.4k
Gabriel Ziegler Germany 21 1.4k 0.9× 750 0.8× 342 0.7× 519 1.6× 215 0.9× 45 2.6k
Simon Vandekar United States 23 1.8k 1.1× 786 0.8× 447 0.9× 533 1.7× 277 1.2× 98 2.8k
Elizabeth DuPré United States 13 2.0k 1.2× 562 0.6× 470 1.0× 309 1.0× 156 0.7× 23 2.5k
Jason S. Nomi United States 27 2.2k 1.4× 489 0.5× 531 1.1× 510 1.6× 232 1.0× 56 2.8k
Francesco Carletti United Kingdom 12 1.9k 1.2× 744 0.8× 588 1.2× 535 1.7× 250 1.1× 18 2.6k
Daniel Glen United States 21 1.6k 1.0× 730 0.8× 287 0.6× 182 0.6× 133 0.6× 36 2.2k
Sangma Xie China 12 1.8k 1.1× 883 0.9× 366 0.8× 373 1.2× 94 0.4× 21 2.3k
Yuan Zhong China 29 1.8k 1.1× 742 0.8× 412 0.9× 669 2.1× 181 0.8× 91 2.5k
Gianpaolo Basso Italy 23 1.9k 1.2× 559 0.6× 413 0.9× 297 0.9× 139 0.6× 62 2.8k

Countries citing papers authored by Zaixu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Zaixu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaixu Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Zaixu Cui. A scholar is included among the top collaborators of Zaixu 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 Zaixu Cui. Zaixu 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.
Zou, Qihong, Guangyuan Zou, Yan Wang, et al.. (2025). Cortical hierarchy underlying homeostatic sleep pressure alleviation. Nature Communications. 16(1). 10014–10014.
2.
Bao, Hongbo, Shengyu Fang, Zihan Wang, et al.. (2025). Glioma-white matter tract interactions: A diffusion magnetic resonance imaging-based 3-tier classification and its clinical relevance. Neuro-Oncology. 27(7). 1888–1898. 2 indexed citations
3.
Ji, Gong‐Jun, Zaixu Cui, Ryan C.N. D’Arcy, et al.. (2024). Imaging brain white matter function using resting-state functional MRI. Science Bulletin. 70(9). 1384–1388. 7 indexed citations
4.
Wu, Guowei, Zaixu Cui, Xiuyi Wang, & Yi Du. (2024). Unveiling the core functional networks of cognition: An ontology-guided machine learning approach. NeuroImage. 298. 120804–120804. 2 indexed citations
5.
Li, Zhilin, Yiqing Hu, Yang Li, et al.. (2024). Transcranial low-level laser stimulation in the near-infrared-II region (1064 nm) for brain safety in healthy humans. Brain stimulation. 17(6). 1307–1316. 3 indexed citations
6.
Cui, Zaixu, Suyu Zhong, Yanyang Zhang, et al.. (2024). Heterogenous brain activations across individuals localize to a common network. Communications Biology. 7(1). 1270–1270. 1 indexed citations
7.
Wang, Xiuyi, Katya Krieger‐Redwood, Guowei Wu, et al.. (2024). The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge. Journal of Neuroscience. 44(22). e2223232024–e2223232024. 5 indexed citations
8.
Huang, Yali, Penghu Wei, Yanfeng Yang, et al.. (2023). Intracranial electrophysiological and structural basis of BOLD functional connectivity in human brain white matter. Nature Communications. 14(1). 3414–3414. 26 indexed citations
9.
Wen, Xue, et al.. (2023). The transition trajectories of self-injurious thoughts and behaviours among children from a biopsychosocial perspective. Nature Mental Health. 1(10). 782–791. 6 indexed citations
10.
Qu, Diyang, Dongyu Liu, Xuan Zhang, et al.. (2023). Process model of emotion regulation-based digital intervention for emotional problems. Digital Health. 9. 589831188–589831188. 10 indexed citations
11.
Božek, Jelena, Stephanie Noble, Wu Xin, et al.. (2023). Global diversity in individualized cortical network topography. Cerebral Cortex. 33(11). 6803–6817. 2 indexed citations
13.
Larsen, Bart, Zaixu Cui, Azeez Adebimpe, et al.. (2022). A developmental reduction of the excitation:inhibition ratio in association cortex during adolescence. Science Advances. 8(5). eabj8750–eabj8750. 35 indexed citations
14.
Ge, Jianqiao, Weiwei Men, Lang Qin, et al.. (2022). Increasing diversity in connectomics with the Chinese Human Connectome Project. Nature Neuroscience. 26(1). 163–172. 45 indexed citations
15.
Zhou, Dale, Christopher W. Lynn, Zaixu Cui, et al.. (2021). Efficient coding in the economics of human brain connectomics. Network Neuroscience. 6(1). 234–274. 16 indexed citations
16.
Moore, Tyler M., Carlos Cardenas‐Iniguez, Zaixu Cui, et al.. (2021). Association of gray matter volumes with general and specific dimensions of psychopathology in children. Neuropsychopharmacology. 46(7). 1333–1339. 38 indexed citations
17.
Xia, Cedric Huchuan, Zongming Ma, Zaixu Cui, et al.. (2020). Multi‐scale network regression for brain‐phenotype associations. Human Brain Mapping. 41(10). 2553–2566. 15 indexed citations
18.
Baum, Graham L., Zaixu Cui, David R. Roalf, et al.. (2019). Development of structure–function coupling in human brain networks during youth. Proceedings of the National Academy of Sciences. 117(1). 771–778. 285 indexed citations breakdown →
19.
Hong, Wenjun, Qixiang Lin, Zaixu Cui, et al.. (2019). Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke. NeuroImage Clinical. 24. 102065–102065. 21 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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