Yuhui Du

6.7k total citations · 1 hit paper
112 papers, 3.9k citations indexed

About

Yuhui Du is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Yuhui Du has authored 112 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cognitive Neuroscience, 39 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Yuhui Du's work include Functional Brain Connectivity Studies (73 papers), Neural dynamics and brain function (45 papers) and Advanced Neuroimaging Techniques and Applications (34 papers). Yuhui Du is often cited by papers focused on Functional Brain Connectivity Studies (73 papers), Neural dynamics and brain function (45 papers) and Advanced Neuroimaging Techniques and Applications (34 papers). Yuhui Du collaborates with scholars based in China, United States and Canada. Yuhui Du's co-authors include Vince D. Calhoun, Jing Sui, Zening Fu, Yong Fan, Qingbao Yu, Godfrey D. Pearlson, Jiayu Chen, Dongdong Lin, Hao He and Anees Abrol and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Yuhui Du

108 papers receiving 3.9k citations

Hit Papers

NeuroMark: An automated and adaptive ICA based pipeline t... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhui Du China 35 3.2k 1.4k 779 633 263 112 3.9k
Adeel Razi United Kingdom 34 3.0k 0.9× 1.1k 0.8× 580 0.7× 367 0.6× 300 1.1× 100 4.6k
Zening Fu United States 30 2.6k 0.8× 1.0k 0.7× 628 0.8× 553 0.9× 238 0.9× 146 3.2k
Sophie Achard France 19 5.6k 1.8× 2.2k 1.6× 1.1k 1.5× 510 0.8× 196 0.7× 70 6.6k
Alard Roebroeck Netherlands 38 3.6k 1.1× 2.1k 1.5× 530 0.7× 368 0.6× 139 0.5× 93 5.5k
Ferath Kherif Switzerland 35 2.4k 0.7× 1.1k 0.8× 629 0.8× 562 0.9× 98 0.4× 86 3.9k
Pierre Bellec Canada 33 3.3k 1.0× 1.5k 1.1× 416 0.5× 707 1.1× 140 0.5× 122 4.4k
Ling‐Li Zeng China 30 2.6k 0.8× 1.2k 0.8× 765 1.0× 364 0.6× 223 0.8× 123 3.4k
Diego Vidaurre United Kingdom 28 4.1k 1.3× 1.2k 0.9× 692 0.9× 296 0.5× 202 0.8× 67 4.7k
Eswar Damaraju United States 31 5.4k 1.7× 2.4k 1.7× 1.1k 1.5× 575 0.9× 128 0.5× 74 6.0k
J.-B. Poline France 15 3.7k 1.2× 1.3k 1.0× 569 0.7× 734 1.2× 95 0.4× 31 5.0k

Countries citing papers authored by Yuhui Du

Since Specialization
Citations

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

Fields of papers citing papers by Yuhui Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhui Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhui Du. A scholar is included among the top collaborators of Yuhui Du 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 Yuhui Du. Yuhui Du 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.
Du, Yuhui, et al.. (2025). Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis. IEEE Journal of Biomedical and Health Informatics. 30(1). 501–512.
2.
Luo, J. R., et al.. (2025). A Novel Spatial Fractional-Domain Approach for Short Emotion-Evoked EEG Identity Recognition. IEEE Sensors Journal. 25(15). 28942–28955.
3.
Yang, Shuo, Yuhui Du, Jingjing Wu, et al.. (2024). Correlations between bone metabolism biomarkers and fluoride exposure in adults and children. Journal of Trace Elements in Medicine and Biology. 84. 127419–127419. 4 indexed citations
4.
Lin, Dongdong, Zening Fu, Jingyu Liu, et al.. (2024). Association between the oral microbiome and brain resting state connectivity in schizophrenia. Schizophrenia Research. 270. 392–402. 6 indexed citations
5.
Du, Yuhui, et al.. (2024). Joint consensus kernel learning and adaptive hypergraph regularization for graph-based clustering. Information Sciences. 689. 121468–121468. 1 indexed citations
6.
Du, Yuhui, Guoqing Wang, Bin Liu, et al.. (2024). Naringin alleviates fluoride-induced neurological impairment: A focus on the regulation of energy metabolism mediated by mitochondrial permeability transition pore. The Science of The Total Environment. 955. 177073–177073. 1 indexed citations
7.
Xing, Ying, Godfrey D. Pearlson, Peter Kochunov, Vince D. Calhoun, & Yuhui Du. (2024). Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia. NeuroImage. 299. 120839–120839. 1 indexed citations
10.
Abrol, Anees, Zening Fu, Yuhui Du, et al.. (2023). Developmental and aging resting functional magnetic resonance imaging brain state adaptations in adolescents and adults: A large N (>47K) study. Human Brain Mapping. 44(6). 2158–2175. 9 indexed citations
12.
Xing, Ying, Peter Kochunov, Theo G.M. van Erp, et al.. (2022). A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. IEEE Journal of Biomedical and Health Informatics. 27(1). 215–226. 15 indexed citations
13.
Qi, Shile, Jing Sui, Godfrey D. Pearlson, et al.. (2022). Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nature Communications. 13(1). 4929–4929. 30 indexed citations
14.
Abrol, Anees, Zening Fu, Mustafa S. Salman, et al.. (2021). Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning. Nature Communications. 12(1). 125 indexed citations
16.
Yu, Qingbao, Yuhui Du, Jiayu Chen, et al.. (2018). Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proceedings of the IEEE. 106(5). 886–906. 58 indexed citations
17.
Yang, Yongli, Yuhui Du, Weiping Zhang, et al.. (2018). Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA. Journal of Affective Disorders. 242. 234–243. 11 indexed citations
18.
Zhi, Dongmei, Xiaohong Ma, Luxian Lv, et al.. (2018). Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. PubMed. 2018. 558–561. 10 indexed citations
19.
Jiang, Rongtao, Chris Abbott, Tianzi Jiang, et al.. (2017). SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology. 43(5). 1078–1087. 52 indexed citations
20.
Jiang, Rongtao, Dongdong Lin, Juan Bustillo, et al.. (2016). Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage. 145(Pt B). 218–229. 81 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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