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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:

Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia
Meysam Hashemi, Axel Hutt, Laure Buhry, et al.
Neuroinformatics (2018) Vol. 16, Iss. 2, pp. 231-251
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Virtual brain twins: from basic neuroscience to clinical use
Huifang Wang, Paul Triebkorn, Martin Breyton, et al.
National Science Review (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 20
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
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 virtual multiple sclerosis patient
Pierpaolo Sorrentino, Anagh Pathak, Abolfazl Ziaeemehr, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110101-110101
Open Access | Times Cited: 4
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: 20
Efficient Inference on a Network of Spiking Neurons using Deep Learning
Nina Baldy, Martin Breyton, Marmaduke Woodman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Parameter estimation and identifiability in a neural population model for electro-cortical activity
Agus Hartoyo, Peter J. Cadusch, David T. J. Liley, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 5, pp. e1006694-e1006694
Open Access | Times Cited: 33
Simulation-based Inference on Virtual Brain Models of Disorders
Meysam Hashemi, Abolfazl Ziaeemehr, Marmaduke Woodman, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035019-035019
Open Access | Times Cited: 3
Simulation-Based Inference for Whole-Brain Network Modeling of Epilepsy using Deep Neural Density Estimators
Meysam Hashemi, Anirudh Nihalani Vattikonda, Jayant Jha, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 9
Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm
Yun Zhao, Mario Boley, Andria Pelentritou, et al.
NeuroImage (2022) Vol. 263, pp. 119592-119592
Open Access | Times Cited: 9
Estimation of parameters from time traces originating from an Ornstein-Uhlenbeck process
Helmut H. Strey
Physical review. E (2019) Vol. 100, Iss. 6
Open Access | Times Cited: 14
Towards an efficient validation of dynamical whole-brain models
Kevin J. Wischnewski, Simon B. Eickhoff, Viktor Jirsa, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
A Data-Driven Adaptive Emotion Recognition Model for College Students Using an Improved Multifeature Deep Neural Network Technology
Li Liu, Yunfeng Ji, Yun Gao, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 8
The virtual multiple sclerosis patient: on the clinical-radiological paradox
Pierpaolo Sorrentino, Anagh Pathak, Abolfazl Ziaeemehr, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Inference of brain networks with approximate Bayesian computation – assessing face validity with an example application in Parkinsonism
Timothy O. West, Luc Berthouze, Simon F. Farmer, et al.
NeuroImage (2021) Vol. 236, pp. 118020-118020
Open Access | Times Cited: 9
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions
Yun Zhao, Phuc Luong, Simon Teshuva, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 05
Closed Access | Times Cited: 3
Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder
Nina Baldy, Nicolas Simon, Viktor Jirsa, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035048-035048
Open Access | Times Cited: 2
Bayesian Pharmacometrics Analysis of Baclofen for Alcohol Use Disorder
Nina Baldy, Meysam Hashemi, Nicolas Simon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Probabilistic Inference on Virtual Brain Models of Disorders
Meysam Hashemi, Abolfazl Ziaeemehr, Marmaduke Woodman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Simulation-based inference of developmental EEG maturation with the spectral graph model
Danilo Bernardo, Xihe Xie, Parul Verma, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access
Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers
David R. Penas, Meysam Hashemi, Viktor Jirsa, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1011642-e1011642
Open Access
Preparatory activity of anterior insula predicts conflict errors: integrating convolutional neural networks and neural mass models
Neda Kaboodvand, Hanie Karimi, Behzad Iravani
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Dynamic Causal Modeling in Probabilistic Programming Languages
Nina Baldy, Marmaduke Woodman, Viktor Jirsa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Parameter estimation in a whole-brain network model of epilepsy: comparison of parallel global optimization solvers
David R. Penas, Meysam Hashemi, Viktor Jirsa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Contributions of synaptic and astrocyte physiology to the anaesthetised encephalogram revealed using a computational model
George Hadjipavlou, Catherine E. Warnaby, James J. FitzGerald, et al.
British Journal of Anaesthesia (2021) Vol. 126, Iss. 5, pp. 985-995
Open Access | Times Cited: 3
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