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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mapping higher-order relations between brain structure and function with embedded vector representations of connectomes
Gideon Rosenthal, František Váša, Alessandra Griffa, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Linking Structure and Function in Macroscale Brain Networks
Laura E. Suárez, Ross D. Markello, Richard F. Betzel, et al.
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 4, pp. 302-315
Open Access | Times Cited: 669
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
Thijs Dhollander, Adam Clemente, Mervyn Singh, et al.
NeuroImage (2021) Vol. 241, pp. 118417-118417
Open Access | Times Cited: 202
Computational network biology: Data, models, and applications
Chuang Liu, Yifang Ma, Jing Zhao, et al.
Physics Reports (2019) Vol. 846, pp. 1-66
Open Access | Times Cited: 179
Distance-dependent consensus thresholds for generating group-representative structural brain networks
Richard F. Betzel, Alessandra Griffa, Patric Hagmann, et al.
Network Neuroscience (2018) Vol. 3, Iss. 2, pp. 475-496
Open Access | Times Cited: 171
Understanding Graph Embedding Methods and Their Applications
Mengjia Xu
SIAM Review (2021) Vol. 63, Iss. 4, pp. 825-853
Open Access | Times Cited: 116
Local structure-function relationships in human brain networks across the lifespan
Farnaz Zamani Esfahlani, Joshua Faskowitz, Jonah Slack, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 115
Controversies and progress on standardization of large-scale brain network nomenclature
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen, et al.
Network Neuroscience (2023) Vol. 7, Iss. 3, pp. 864-905
Open Access | Times Cited: 64
Structure-function coupling in the human connectome: A machine learning approach
Tabinda Sarwar, Ye Tian, B.T. Thomas Yeo, et al.
NeuroImage (2020) Vol. 226, pp. 117609-117609
Open Access | Times Cited: 110
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function
Bo‐yong Park, Reinder Vos de Wael, Casey Paquola, et al.
NeuroImage (2020) Vol. 224, pp. 117429-117429
Open Access | Times Cited: 79
Edges in brain networks: Contributions to models of structure and function
Joshua Faskowitz, Richard F. Betzel, Olaf Sporns
Network Neuroscience (2021), pp. 1-28
Open Access | Times Cited: 73
Diffusion Kernel Attention Network for Brain Disorder Classification
Jianjia Zhang, Luping Zhou, Lei Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 10, pp. 2814-2827
Closed Access | Times Cited: 38
Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence
Xinyuan Liang, Lianglong Sun, Xuhong Liao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
How brain structure–function decoupling supports individual cognition and its molecular mechanism
Xiaoxi Dong, Qiongling Li, Xuetong Wang, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 2
Open Access | Times Cited: 9
Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease
Alice Longhena, Martin Guillemaud, Fabrizio De Vico Fallani, et al.
Physical review. E (2025) Vol. 111, Iss. 4
Closed Access | Times Cited: 1
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis
Jiashuang Huang, Luping Zhou, Lei Wang, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 7, pp. 2541-2552
Closed Access | Times Cited: 67
System-level matching of structural and functional connectomes in the human brain
Yusuf Osmanlıoğlu, Birkan Tunç, Drew Parker, et al.
NeuroImage (2019) Vol. 199, pp. 93-104
Open Access | Times Cited: 55
Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches
Prejaas Tewarie, Bastian Prasse, J. Meier, et al.
NeuroImage (2020) Vol. 216, pp. 116805-116805
Open Access | Times Cited: 50
A graph neural network framework for causal inference in brain networks
Simon Wein, Wilhelm M. Malloni, Ana Maria Tomé, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 41
Scalable algorithms for physics-informed neural and graph networks
Khemraj Shukla, Mengjia Xu, Nathaniel Trask, et al.
Data-Centric Engineering (2022) Vol. 3
Open Access | Times Cited: 32
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks
Mengjia Xu, David López Sanz, Pilar Garcés, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 5, pp. 1579-1588
Open Access | Times Cited: 37
A Riemannian approach to predicting brain function from the structural connectome
Oualid Benkarim, Casey Paquola, Bo‐yong Park, et al.
NeuroImage (2022) Vol. 257, pp. 119299-119299
Open Access | Times Cited: 23
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Ali Yousefian, Farzaneh Shayegh, Zeinab Maleki
Frontiers in Systems Neuroscience (2023) Vol. 16
Open Access | Times Cited: 15
Mapping individual differences across brain network structure to function and behavior with connectome embedding
Gidon Levakov, Joshua Faskowitz, Galia Avidan, et al.
NeuroImage (2021) Vol. 242, pp. 118469-118469
Open Access | Times Cited: 32
Structure can predict function in the human brain: a graph neural network deep learning model of functional connectivity and centrality based on structural connectivity
Josh Neudorf, Shaylyn Kress, Ron Borowsky
Brain Structure and Function (2021) Vol. 227, Iss. 1, pp. 331-343
Open Access | Times Cited: 27
Machine learning in neuroimaging: from research to clinical practice
Karl‐Heinz Nenning, Georg Langs
Deleted Journal (2022) Vol. 62, Iss. S1, pp. 1-10
Open Access | Times Cited: 22
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