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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:

Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning
Victor M. Vergara, Andrew R. Mayer, Kent A. Kiehl, et al.
NeuroImage Clinical (2018) Vol. 19, pp. 30-37
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification
Liron Rabany, Sophy Brocke, Vince D. Calhoun, et al.
NeuroImage Clinical (2019) Vol. 24, pp. 101966-101966
Open Access | Times Cited: 110
Tools of the trade: estimating time-varying connectivity patterns from fMRI data
Armin Iraji, Ashkan Faghiri, Noah Lewis, et al.
Social Cognitive and Affective Neuroscience (2020) Vol. 16, Iss. 8, pp. 849-874
Open Access | Times Cited: 107
Acute ischaemic stroke alters the brain’s preference for distinct dynamic connectivity states
Anna K. Bonkhoff, Flor A. Espinoza, Harshvardhan Gazula, et al.
Brain (2020) Vol. 143, Iss. 5, pp. 1525-1540
Open Access | Times Cited: 101
Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity
Mohammad S.E. Sendi, Elaheh Zendehrouh, Charles A. Ellis, et al.
Frontiers in Neural Circuits (2021) Vol. 15
Open Access | Times Cited: 66
Altered dynamic functional connectivity in weakly-connected state in major depressive disorder
Zhijun Yao, Jie Shi, Zhe Zhang, et al.
Clinical Neurophysiology (2019) Vol. 130, Iss. 11, pp. 2096-2104
Closed Access | Times Cited: 73
Determining the number of states in dynamic functional connectivity using cluster validity indexes
Victor M. Vergara, Mustafa S. Salman, Anees Abrol, et al.
Journal of Neuroscience Methods (2020) Vol. 337, pp. 108651-108651
Open Access | Times Cited: 56
Current trends in biomarker discovery and analysis tools for traumatic brain injury
Briana I. Martinez, Sarah E. Stabenfeldt
Journal of Biological Engineering (2019) Vol. 13, Iss. 1
Open Access | Times Cited: 55
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder
Mohammad S.E. Sendi, Elaheh Zendehrouh, Jing Sui, et al.
Brain Connectivity (2021) Vol. 11, Iss. 10, pp. 838-849
Open Access | Times Cited: 35
Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning
Manxi Xu, Xiaojing Zhang, Yanqing Li, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Characterizing brain network alterations in cervical spondylotic myelopathy using static and dynamic functional network connectivity and machine learning
Jiyuan Yao, Bing Xie, Haoyu Ni, et al.
Journal of Clinical Neuroscience (2025) Vol. 133, pp. 111053-111053
Closed Access
Functional outcome is tied to dynamic brain states after mild to moderate traumatic brain injury
Harm J. van der Horn, Victor M. Vergara, Flor A. Espinoza, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 3, pp. 617-631
Open Access | Times Cited: 36
Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury
Marios Antonakakis, Stavros I. Dimitriadis, Michalis Zervakis, et al.
Frontiers in Computational Neuroscience (2020) Vol. 13
Open Access | Times Cited: 32
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease
Mohammad S.E. Sendi, Elaheh Zendehrouh, Zening Fu, et al.
Brain Connectivity (2021) Vol. 13, Iss. 6, pp. 334-343
Open Access | Times Cited: 32
Identification of chronic mild traumatic brain injury using resting state functional MRI and machine learning techniques
Faezeh Vedaei, Najmeh Mashhadi, George Zabrecky, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 12
How brain networks tic: Predicting tic severity through rs‐fMRI dynamics in Tourette syndrome
Shukti Ramkiran, Tanja Veselinović, Jürgen Dammers, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 11, pp. 4225-4238
Open Access | Times Cited: 11
Dynamic Functional Connectivity in Pediatric Mild Traumatic Brain Injury
Harm J. van der Horn, Josef M. Ling, Tracey V. Wick, et al.
NeuroImage (2023) Vol. 285, pp. 120470-120470
Open Access | Times Cited: 11
Dynamic Functional Network Analysis in Mild Traumatic Brain Injury
Wenshuai Hou, Chandler Sours Rhodes, Li Jiang, et al.
Brain Connectivity (2019) Vol. 9, Iss. 6, pp. 475-487
Open Access | Times Cited: 33
Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis
Paola Valsasina, Milagros Hidalgo de la Cruz, Massimo Filippi, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 33
Dynamic connectivity predicts acute motor impairment and recovery post-stroke
Anna K. Bonkhoff, Anne K. Rehme, Lukas Hensel, et al.
Brain Communications (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 24
Targeting the Cerebrovascular System: Next-Generation Biomarkers and Treatment for Mild Traumatic Brain Injury
Tamara L. Baker, Denes V. Agoston, Rhys D. Brady, et al.
The Neuroscientist (2021) Vol. 28, Iss. 6, pp. 594-612
Closed Access | Times Cited: 23
Predictive modeling of contents of potentially toxic elements using morphometric data, proximal sensing, and chemical and physical properties of soils under mining influence
Ésio de Castro Paes, Gustavo Vieira Veloso, Aymbiré Angeletti da Fonseca, et al.
The Science of The Total Environment (2022) Vol. 817, pp. 152972-152972
Closed Access | Times Cited: 16
Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions
Kevin Pierre, Jordan Turetsky, Abheek Raviprasad, et al.
Trauma Care (2024) Vol. 4, Iss. 1, pp. 31-43
Open Access | Times Cited: 3
Aberrant dynamic properties of whole‐brain functional connectivity in acute mild traumatic brain injury revealed by hidden Markov models
Liyan Lu, Fengfang Li, Hui Li, et al.
CNS Neuroscience & Therapeutics (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 3
Potential Applications and Ethical Considerations for Artificial Intelligence in Traumatic Brain Injury Management
Kryshawna Beard, Ashley M. Pennington, Amina K. Gauff, et al.
Biomedicines (2024) Vol. 12, Iss. 11, pp. 2459-2459
Open Access | Times Cited: 3
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI
Zhongxing Zhou, Biao Cai, Gemeng Zhang, et al.
NeuroImage (2020) Vol. 221, pp. 117190-117190
Open Access | Times Cited: 25
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