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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:

Estimation and validation of individualized dynamic brain models with resting state fMRI
Matthew F. Singh, Todd S. Braver, Michael W. Cole, et al.
NeuroImage (2020) Vol. 221, pp. 117046-117046
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Macroscopic resting-state brain dynamics are best described by linear models
Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 68-84
Open Access | Times Cited: 66
Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics
Viktor Ší́p, Meysam Hashemi, Timo Dickscheid, et al.
Science Advances (2023) Vol. 9, Iss. 11
Open Access | Times Cited: 40
Discovering the Computational Relevance of Brain Network Organization
Takuya Ito, Luke J. Hearne, Ravi D. Mill, et al.
Trends in Cognitive Sciences (2019) Vol. 24, Iss. 1, pp. 25-38
Open Access | Times Cited: 68
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks
Changhong Jing, Yanyan Shen, Shen Zhao, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5026-5039
Closed Access | Times Cited: 5
Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state functional MRI
Guoshi Li, Li‐Ming Hsu, Ye Wu, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Precision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiology
Matthew F. Singh, Todd S. Braver, Michael W. Cole, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 3
Open Access
Models of communication and control for brain networks: distinctions, convergence, and future outlook
Pragya Srivastava, Erfan Nozari, Jason Z. Kim, et al.
Network Neuroscience (2020) Vol. 4, Iss. 4, pp. 1122-1159
Open Access | Times Cited: 33
Effects of repetitive transcranial magnetic stimulation and their underlying neural mechanisms evaluated with magnetic resonance imaging-based brain connectivity network analyses
Xiaowei Han, Zhengyang Zhu, Jixin Luan, et al.
European Journal of Radiology Open (2023) Vol. 10, pp. 100495-100495
Open Access | Times Cited: 11
Whole-brain estimates of directed connectivity for human connectomics
Stefan Frässle, Zina M. Manjaly, Cao Tri, et al.
NeuroImage (2020) Vol. 225, pp. 117491-117491
Open Access | Times Cited: 29
Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations
Rubén Sánchez-Romero, Takuya Ito, Ravi D. Mill, et al.
NeuroImage (2023) Vol. 278, pp. 120300-120300
Open Access | Times Cited: 10
Dynamical models reveal anatomically reliable attractor landscapes embedded in resting state brain networks
Ruiqi Chen, Matthew F. Singh, Todd S. Braver, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder
Guoshi Li, Yujie Liu, Yanting Zheng, et al.
NeuroImage Clinical (2021) Vol. 31, pp. 102758-102758
Open Access | Times Cited: 20
Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures
Simon Wein, Andreas Schüller, Ana Maria Tomé, et al.
Network Neuroscience (2022) Vol. 6, Iss. 3, pp. 665-701
Open Access | Times Cited: 15
Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging
Ashish Raj, Parul Verma, Srikantan S. Nagarajan
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Beyond Increasing Sample Sizes: Optimizing Effect Sizes in Neuroimaging Research on Individual Differences
Colin G. DeYoung, Kirsten Hilger, Jamie L. Hanson, et al.
(2024)
Open Access | Times Cited: 2
From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis
Guoshi Li, Pew‐Thian Yap
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Bayesian inference of a spectral graph model for brain oscillations
Huaqing Jin, Parul Verma, Fei Jiang, et al.
NeuroImage (2023) Vol. 279, pp. 120278-120278
Open Access | Times Cited: 5
Enhancing task fMRI preprocessing via individualized model‐based filtering of intrinsic activity dynamics
Matthew F. Singh, Anxu Wang, Michael W. Cole, et al.
NeuroImage (2021) Vol. 247, pp. 118836-118836
Open Access | Times Cited: 12
Understanding cognitive processes across spatial scales of the brain
Hayoung Song, JeongJun Park, Monica D. Rosenberg
Trends in Cognitive Sciences (2024)
Closed Access | Times Cited: 1
Brain modeling for control: A review
Gagan Acharya, Sebastian F. Ruf, Erfan Nozari
Frontiers in Control Engineering (2022) Vol. 3
Open Access | Times Cited: 7
Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling
Matthew F. Singh, Anxu Wang, Todd S. Braver, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 4, pp. 046025-046025
Open Access | Times Cited: 10
Efficient identification for modeling high-dimensional brain dynamics
Matthew F. Singh, Michael Wang, Michael W. Cole, et al.
2022 American Control Conference (ACC) (2022), pp. 1353-1358
Closed Access | Times Cited: 6
An evolving graph convolutional network for dynamic functional brain network
Xinlei Wang, Junchang Xin, Zhongyang Wang, et al.
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 13261-13274
Closed Access | Times Cited: 6
Bayesian Inference of a Spectral Graph Model for Brain Oscillations
Huaqing Jin, Parul Verma, Fei Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
John D. Griffiths, Zheng Wang, Syed Hussain Ather, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 5
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