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:
Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling
Lucas Arbabyazd, Kelly Shen, Zheng Wang, et al.
eNeuro (2021) Vol. 8, Iss. 4, pp. ENEURO.0475-20.2021
Open Access | Times Cited: 28
Lucas Arbabyazd, Kelly Shen, Zheng Wang, et al.
eNeuro (2021) Vol. 8, Iss. 4, pp. ENEURO.0475-20.2021
Open Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques
I. Nagarajan, G. G. Lakshmi Priya
Frontiers in Computer Science (2025) Vol. 6
Open Access | Times Cited: 2
I. Nagarajan, G. G. Lakshmi Priya
Frontiers in Computer Science (2025) Vol. 6
Open Access | Times Cited: 2
A review of the application of deep learning in the detection of Alzheimer's disease
Shuangshuang Gao, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 3, pp. 1-8
Open Access | Times Cited: 65
Shuangshuang Gao, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 3, pp. 1-8
Open Access | Times Cited: 65
Whole-Brain Network Models: From Physics to Bedside
Anagh Pathak, D. Pomeroy, Arpan Banerjee
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 42
Anagh Pathak, D. Pomeroy, Arpan Banerjee
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 42
Predicting the future of neuroimaging predictive models in mental health
Link Tejavibulya, Max Rolison, Siyuan Gao, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 8, pp. 3129-3137
Open Access | Times Cited: 38
Link Tejavibulya, Max Rolison, Siyuan Gao, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 8, pp. 3129-3137
Open Access | Times Cited: 38
Brain dynamics predictive of response to psilocybin for treatment-resistant depression
Jakub Vohryzek, Joana Cabral, Louis-David Lord, et al.
Brain Communications (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 13
Jakub Vohryzek, Joana Cabral, Louis-David Lord, et al.
Brain Communications (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 13
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness
Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, et al.
NeuroImage (2023) Vol. 275, pp. 120162-120162
Open Access | Times Cited: 18
Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, et al.
NeuroImage (2023) Vol. 275, pp. 120162-120162
Open Access | Times Cited: 18
Disentangling the critical signatures of neural activity
Benedetta Mariani, Giorgio Nicoletti, Marta Bisio, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Benedetta Mariani, Giorgio Nicoletti, Marta Bisio, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
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: 15
Danielle L. Kurtin, Valentina Giunchiglia, Jakub Vohryzek, et al.
NeuroImage (2023) Vol. 272, pp. 120042-120042
Open Access | Times Cited: 15
Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
Sebastián Moguilner, Rubén Herzog, Yonatan Sanz Perl, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Sebastián Moguilner, Rubén Herzog, Yonatan Sanz Perl, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Detection of Alzheimer's disease using deep learning models: A systematic literature review
Eqtidar M. Mohammed, Ahmed M. Fakhrudeen, Omar Alani
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101551-101551
Open Access | Times Cited: 3
Eqtidar M. Mohammed, Ahmed M. Fakhrudeen, Omar Alani
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101551-101551
Open Access | Times Cited: 3
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
Ashish Raj, Parul Verma, Srikantan S. Nagarajan
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks
Pau Clusella, Gustavo Deco, Morten L. Kringelbach, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010781-e1010781
Open Access | Times Cited: 7
Pau Clusella, Gustavo Deco, Morten L. Kringelbach, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010781-e1010781
Open Access | Times Cited: 7
Gaming expertise induces meso-scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling
Carlos Coronel‐Oliveros, Vicente Medel, Sebastián Orellana, et al.
NeuroImage (2024) Vol. 293, pp. 120633-120633
Open Access | Times Cited: 2
Carlos Coronel‐Oliveros, Vicente Medel, Sebastián Orellana, et al.
NeuroImage (2024) Vol. 293, pp. 120633-120633
Open Access | Times Cited: 2
Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation
Carlos Coronel‐Oliveros, Carsten Gießing, Vicente Medel, et al.
NeuroImage (2022) Vol. 265, pp. 119782-119782
Open Access | Times Cited: 10
Carlos Coronel‐Oliveros, Carsten Gießing, Vicente Medel, et al.
NeuroImage (2022) Vol. 265, pp. 119782-119782
Open Access | Times Cited: 10
Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson’s Disease following Dopaminergic Treatment
Orestis Stylianou, Zalan Kaposzta, Akos Czoch, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 12, pp. 737-737
Open Access | Times Cited: 8
Orestis Stylianou, Zalan Kaposzta, Akos Czoch, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 12, pp. 737-737
Open Access | Times Cited: 8
Connectomes, simultaneous EEG-fMRI resting-state data and brain simulation results from 50 healthy subjects
J. Meier, Paul Triebkorn, Michael Schirner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
J. Meier, Paul Triebkorn, Michael Schirner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Compensating functional connectivity changes due to structural connectivity damage via modifications of local dynamics
Sophie Benitez Stulz, Samy Castro, Grégory Dumont, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Sophie Benitez Stulz, Samy Castro, Grégory Dumont, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Competitive interactions shape brain dynamics and computation across species
Andrea I. Luppi, Yonatan Sanz Perl, Jakub Vohryzek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Andrea I. Luppi, Yonatan Sanz Perl, Jakub Vohryzek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Alzheimer’s Disease: Insights from Large-Scale Brain Dynamics Models
Lan Yang, Jiayu Lu, Dandan Li, et al.
Brain Sciences (2023) Vol. 13, Iss. 8, pp. 1133-1133
Open Access | Times Cited: 3
Lan Yang, Jiayu Lu, Dandan Li, et al.
Brain Sciences (2023) Vol. 13, Iss. 8, pp. 1133-1133
Open Access | Times Cited: 3
Brain Structure and Function: the first 15 years—a retrospective
László Záborszky
Brain Structure and Function (2021) Vol. 226, Iss. 8, pp. 2467-2475
Open Access | Times Cited: 6
László Záborszky
Brain Structure and Function (2021) Vol. 226, Iss. 8, pp. 2467-2475
Open Access | Times Cited: 6
Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer's Disease
Mithun Singh Rajput, Jigna Shah, Viral Patel, et al.
(2024), pp. 451-471
Closed Access
Mithun Singh Rajput, Jigna Shah, Viral Patel, et al.
(2024), pp. 451-471
Closed Access
Deep learning techniques for Alzheimer's disease detection in 3D imaging: A systematic review
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2024) Vol. 7, Iss. 9
Open Access
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2024) Vol. 7, Iss. 9
Open Access
Uncovering Alzheimer’s Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain Networks
Carmela Comito, Annalisa Socievole
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4482-4489
Closed Access
Carmela Comito, Annalisa Socievole
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4482-4489
Closed Access
Can functional connectivity be used to refine structural connectivity strength by combining neural computational model and generative adversarial network?
Zhanxiong Wu, Jiangnan Yu, Xuanheng Chen
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3489-3504
Closed Access
Zhanxiong Wu, Jiangnan Yu, Xuanheng Chen
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3489-3504
Closed Access
Deep Learning based Detection Model for Alzheimer’s Disease
D. Thamaraiselvi, K. Umapathy, S Swarna Dharshini, et al.
(2023), pp. 878-882
Closed Access | Times Cited: 1
D. Thamaraiselvi, K. Umapathy, S Swarna Dharshini, et al.
(2023), pp. 878-882
Closed Access | Times Cited: 1
