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:

A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
Kun Zhao, Pindong Chen, Aaron Alexander‐Bloch, et al.
EClinicalMedicine (2023) Vol. 65, pp. 102276-102276
Open Access | Times Cited: 17

Showing 17 citing articles:

Deciphering the epigenetic role of long non‐coding RNAs in mood disorders: Focus on human brain studies
Bhaskar Roy, Anuj Kumar Verma, Yu Funahashi, et al.
Clinical and Translational Medicine (2025) Vol. 15, Iss. 3
Open Access | Times Cited: 1

Explainable graph neural network based on metabolic brain imaging for differential diagnosis of parkinsonism
Ronghua Ling, Xingxing Cen, Shaoyou Wu, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access

Structure–function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study
Yibao Sun, Pan Wang, Kun Zhao, et al.
Alzheimer s & Dementia (2024) Vol. 20, Iss. 9, pp. 6305-6315
Open Access | Times Cited: 4

Precision Prediction of Alzheimer’s Disease: Integrating Mitochondrial Energy Metabolism and Immunological Insights
Wenlong Du, Shihui Yu, Ruiyao Liu, et al.
Journal of Molecular Neuroscience (2025) Vol. 75, Iss. 1
Closed Access

Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer’s Disease: A Data-Driven Meta-Analysis with N = 3,118
Xiaopeng Kang, Dawei Wang, Jiaji Lin, et al.
Neuroscience Bulletin (2024) Vol. 40, Iss. 9, pp. 1274-1286
Open Access | Times Cited: 2

Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer’s disease
Kun Zhao, Dawei Wang, Dong Wang, et al.
Science Advances (2024) Vol. 10, Iss. 41
Open Access | Times Cited: 2

Explainable Federated Learning for Enhanced Privacy in Autism Prediction Using Deep Learning
Naif Alshammari, Adel Abdullah Alhusaini, Akram Pasha, et al.
Deleted Journal (2024) Vol. 3, Iss. 7
Closed Access | Times Cited: 1

Predicting Functional Connectivity Network from Routinely Acquired T1-Weighted Imaging-Based Brain Network by Generative U-GCNet
Zhiwei Song, Chuanzhen Zhu, Minbo Jiang, et al.
Neurocomputing (2024) Vol. 611, pp. 128709-128709
Closed Access | Times Cited: 1

Voxel-based texture similarity networks reveal individual variability and correlate with biological ontologies
Liyuan Lin, Zhongyu Chang, Yu Zhang, et al.
NeuroImage (2024) Vol. 297, pp. 120688-120688
Open Access

Macroscale Brain Structural Network Coupling is Related to AD Progression
Yibao Sun, Pindong Chen, Yong Liu, et al.
(2024), pp. 1-4
Closed Access

Novel Insights into Famotidine as a GSK-3β Inhibitor: An explorative study in aluminium chloride-induced Alzheimer’s Disease rat model
Ronnita C. Sequeira, Angel Godad
Behavioural Brain Research (2024), pp. 115270-115270
Closed Access

Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury
Noelia Martínez‐Molina, Yonatan Sanz Perl, Anira Escrichs, et al.
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access

A Multiform Heterogeneity Framework for Alzheimer’s Disease Based on Multimodal Neuroimaging
Kun Zhao, Pindong Chen, Dong Wang, et al.
Biological Psychiatry (2024)
Closed Access

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