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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:

Personalized brain network models for assessing structure–function relationships
Kanika Bansal, Johan Nakuci, Sarah F. Muldoon
Current Opinion in Neurobiology (2018) Vol. 52, pp. 42-47
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

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: 113
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
Cognitive chimera states in human brain networks
Kanika Bansal, Javier O. Garcia, Steven Tompson, et al.
Science Advances (2019) Vol. 5, Iss. 4
Open Access | Times Cited: 130
The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread
Meysam Hashemi, Anirudh Nihalani Vattikonda, Viktor Ší́p, et al.
NeuroImage (2020) Vol. 217, pp. 116839-116839
Open Access | Times Cited: 108
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
Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation
Caio Seguin, Maciej Jedynak, Olivier David, et al.
Neuron (2023) Vol. 111, Iss. 9, pp. 1391-1401.e5
Open Access | Times Cited: 37
Dynamic representations in networked neural systems
Harang Ju, Danielle S. Bassett
Nature Neuroscience (2020) Vol. 23, Iss. 8, pp. 908-917
Closed Access | Times Cited: 66
Targeting brain networks with multichannel transcranial current stimulation (tCS)
Giulio Ruffini, Fabrice Wendling, Roser Sanchez-Todo, et al.
Current Opinion in Biomedical Engineering (2018) Vol. 8, pp. 70-77
Open Access | Times Cited: 63
Is the brain macroscopically linear? A system identification of resting state dynamics
Erfan Nozari, Maxwell A. Bertolero, Jennifer Stiso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 61
Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up
Rodrigo Cofré, Rubén Herzog, Pedro A. M. Mediano, et al.
Brain Sciences (2020) Vol. 10, Iss. 9, pp. 626-626
Open Access | Times Cited: 55
Brain functional network modeling and analysis based on fMRI: a systematic review
Zhongyang Wang, Junchang Xin, Zhiqiong Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 389-403
Open Access | Times Cited: 49
The road ahead in clinical network neuroscience
Linda Douw, Edwin van Dellen, Alida A. Gouw, et al.
Network Neuroscience (2019) Vol. 3, Iss. 4, pp. 969-993
Open Access | Times Cited: 48
Computational Models in Electroencephalography
Katharina Glomb, Joana Cabral, Anna Cattani, et al.
Brain Topography (2021) Vol. 35, Iss. 1, pp. 142-161
Open Access | Times Cited: 39
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
Meysam Hashemi, Anirudh Nihalani Vattikonda, Viktor Ší́p, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009129-e1009129
Open Access | Times Cited: 38
The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
Hui Xiong, Congying Chu, Lingzhong Fan, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 15
Moving from phenomenological to predictive modelling: Progress and pitfalls of modelling brain stimulation in-silico
Danielle L. Kurtin, Valentina Giunchiglia, Jakub Vohryzek, et al.
NeuroImage (2023) Vol. 272, pp. 120042-120042
Open Access | Times Cited: 13
Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms
Ahmed Faraz Khan, Yasser Iturria‐Medina
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Differences in fMRI-based connectivity during abstinence or interventions between heroin-dependent individuals and healthy controls
Danielle L. Kurtin, Anusha M. Prabhu, Quamrul Hassan, et al.
Neuroscience & Biobehavioral Reviews (2025), pp. 106116-106116
Open Access
Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality
Rodrigo P. Rocha, Loren Koçillari, Samir Suweis, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 44
Data-driven brain network models differentiate variability across language tasks
Kanika Bansal, John D. Medaglia, Danielle S. Bassett, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 10, pp. e1006487-e1006487
Open Access | Times Cited: 41
Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state
Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 9, pp. e1008144-e1008144
Open Access | Times Cited: 37
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
Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels
Justin W. M. Domhof, Kyesam Jung, Simon B. Eickhoff, et al.
Network Neuroscience (2021) Vol. 5, Iss. 3, pp. 798-830
Open Access | Times Cited: 30
Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo
Jayant Jha, Meysam Hashemi, Anirudh Nihalani Vattikonda, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 3, pp. 035016-035016
Open Access | Times Cited: 21
Role of hierarchical heterogeneity in shaping seizure onset dynamics: Insights from structurally-based whole-brain dynamical network models
Zilu Liu, Fang Han, Ying Yu, et al.
Communications in Nonlinear Science and Numerical Simulation (2023) Vol. 130, pp. 107721-107721
Closed Access | Times Cited: 11
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