Jiayu Chen

4.7k total citations · 1 hit paper
102 papers, 2.5k citations indexed

About

Jiayu Chen is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiayu Chen has authored 102 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 30 papers in Molecular Biology and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiayu Chen's work include Functional Brain Connectivity Studies (51 papers), Neural dynamics and brain function (25 papers) and Advanced Neuroimaging Techniques and Applications (24 papers). Jiayu Chen is often cited by papers focused on Functional Brain Connectivity Studies (51 papers), Neural dynamics and brain function (25 papers) and Advanced Neuroimaging Techniques and Applications (24 papers). Jiayu Chen collaborates with scholars based in United States, China and Germany. Jiayu Chen's co-authors include Vince D. Calhoun, Jing Sui, Yuhui Du, Qingbao Yu, Jingyu Liu, Dongdong Lin, Tülay Adalı, Juan Bustillo, Zening Fu and Godfrey D. Pearlson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jiayu Chen

97 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

2020 215 citations Yuhui Du, Zening Fu et al. NeuroImage Clinical profile →

Peers

Jiayu Chen

RNMI

PMH

ECP

Yuhui Du China

H. Jeremy Bockholt United States

Édouard Duchesnay France

Jesse A. Brown United States

Zening Fu United States

Gerda Leinsinger Germany

Erick J. Canales‐Rodríguez Spain

Jonas Richiardi Switzerland

Yasser Iturria‐Medina Canada

Chong-Yaw Wee United States

Yuhui Du China

Jiayu Chen

3.2k ×1.9

1.4k ×1.7

RNMI

226 ×0.5

633 ×1.7

PMH

779 ×2.2

ECP

Citations per year, relative to Jiayu Chen Jiayu Chen (= 1×) peers Yuhui Du

Countries citing papers authored by Jiayu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jiayu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayu Chen. A scholar is included among the top collaborators of Jiayu Chen 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 Jiayu Chen. Jiayu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Jiayu, et al.. (2025). Cellular and molecular associations with intrinsic brain organization. Nature Communications. 16(1). 11641–11641.

Chen, Jiayu, et al.. (2025). An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer’s disease. Journal of Neural Engineering. 22(5). 56021–56021.

Chen, Jiayu, et al.. (2024). Replication and Refinement of Brain Age Model for Adolescent Development. 1–5. 3 indexed citations

Chen, Jiayu, Tülay Adalı, Peter Kochunov, et al.. (2024). Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls. Nature Mental Health. 2(12). 1464–1475. 1 indexed citations

Akbaş, Esra, et al.. (2024). Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Analysis. 101. 103433–103433. 11 indexed citations

Hu, Xiaochuan, et al.. (2024). Electric field induced the changes in structure and function of human transforming growth factor beta receptor type I: from molecular dynamics to docking. Journal of Biomolecular Structure and Dynamics. 43(17). 9971–9982. 1 indexed citations

Chen, Jiayu, Jessica A. Turner, Julia M. Stephen, et al.. (2023). Epigenetic associations with adolescent grey matter maturation and cognitive development. Frontiers in Genetics. 14. 1222619–1222619. 1 indexed citations

Chen, Jiayu, Zhengpei Zhang, Meili Li, et al.. (2023). 3D Visualization System-Assisted Vitrectomy for Rhegmatogenous Retinal Detachment: Leave Out the Perfluorocarbon Liquid. Ophthalmology and Therapy. 12(3). 1611–1619. 2 indexed citations

Iraji, Armin, Jiayu Chen, Ashkan Faghiri, et al.. (2023). Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk. Biological Psychiatry. 96(3). 188–197. 9 indexed citations

10.

Sendi, Mohammad S.E., Charles A. Ellis, Zening Fu, et al.. (2023). The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease. NeuroImage Clinical. 37. 103363–103363. 9 indexed citations

11.

Duan, Kuaikuai, Jiayu Chen, Vince D. Calhoun, et al.. (2023). Genomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder. Translational Psychiatry. 13(1). 50–50. 3 indexed citations

12.

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

13.

Chen, Jiayu, Xiang Li, Vince D. Calhoun, et al.. (2021). Sparse deep neural networks on imaging genetics for schizophrenia case–control classification. Human Brain Mapping. 42(8). 2556–2568. 13 indexed citations

14.

Luo, Na, Jing Sui, Anees Abrol, et al.. (2020). Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals. Cerebral Cortex. 30(10). 5460–5470. 27 indexed citations

15.

Chen, Jiayu, Jingyu Liu, & Vince D. Calhoun. (2019). Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. Proceedings of the IEEE. 107(5). 912–927. 7 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.

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

18.

Du, Yuhui, Dongdong Lin, Qingbao Yu, et al.. (2017). Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data. Frontiers in Neuroscience. 11. 267–267. 20 indexed citations

19.

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

20.

Sui, Jing, Tülay Adalı, Qingbao Yu, Jiayu Chen, & Vince D. Calhoun. (2011). A review of multivariate methods for multimodal fusion of brain imaging data. Journal of Neuroscience Methods. 204(1). 68–81. 272 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.

Explore authors with similar magnitude of impact