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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:

Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
Eva Bacas, Isabella Kahhalé, Pradeep Reddy Raamana, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 9, pp. 3481-3492
Open Access | Times Cited: 20

Showing 20 citing articles:

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Ruben P. Dörfel, Joan M. Arenas‐Gomez, Patrick M. Fisher, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 6139-6148
Open Access | Times Cited: 29
Examining the reliability of brain age algorithms under varying degrees of participant motion
Jamie L. Hanson, Dorthea J Adkins, Eva Bacas, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Cross‐Sectional Comparison of Structural MRI Markers of Impairment in a Diverse Cohort of Older Adults
Julie K. Wisch, Kalen J. Petersen, Peter R Millar, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 2
Open Access
Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models
Len Bos, David R. van Nederpelt, James H. Cole, et al.
Neuroimage Reports (2025) Vol. 5, Iss. 2, pp. 100252-100252
Closed Access
Structural Magnetic Resonance Imaging Brain Age Investigation in Athletes with Persistent Postconcussion Syndrome
Samuel Guay, Camille Charlebois‐Plante, Sophie-Andrée Vinet, et al.
Neurotrauma Reports (2025) Vol. 6, Iss. 1, pp. 136-147
Open Access
Increased Brain Age Among Psychiatrically Healthy Adults Exposed to Childhood Trauma
Chanellé Hendrikse, Leigh L. van den Heuvel, Robin Emsley, et al.
Brain and Behavior (2025) Vol. 15, Iss. 4
Open Access
Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms
Yoonji Joo, Eun Namgung, Hyeonseok Jeong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled clinical trial
Hanna Lu, Jing Li, Sandra S. M. Chan, et al.
Dialogues in Clinical Neuroscience (2024) Vol. 26, Iss. 1, pp. 38-52
Open Access | Times Cited: 2
Social reward and nonsocial reward processing across the adult lifespan: An interim multi-echo fMRI and diffusion dataset
David V. Smith, Cooper J. Sharp, Abraham Dachs, et al.
Data in Brief (2024) Vol. 56, pp. 110810-110810
Open Access | Times Cited: 2
Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease
Peter R Millar, Brian A. Gordon, Julie K. Wisch, et al.
Molecular Neurodegeneration (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 4
Accelerated brain age in young to early middle-aged adults after mild to moderate COVID-19 infection
Shelli R. Kesler, Oscar Y. Franco‐Rocha, Alexa De La Torre Schutz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Associations between brain structures, cognition and dual-task performance in patients with mild cognitive impairment: A study based on voxel-based morphology
Xue Cheng, Xin Huang, Qiuhua Yu, et al.
Human Movement Science (2024) Vol. 97, pp. 103257-103257
Open Access | Times Cited: 1
The effect of head motion on brain age prediction using deep convolutional neural networks
Pál Vakli, Béla Weiss, Dorina Rozmann, et al.
NeuroImage (2024) Vol. 294, pp. 120646-120646
Open Access
Do transformers and CNNs learn different concepts of brain age?
Nys Tjade Siegel, Dagmar Kainmueller, Fatma Deniz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Mega‐analysis of the brain‐age gap in substance use disorder: An ENIGMA Addiction working group study
Freda Scheffler, Jonathan Ipser, Devarshi Pancholi, et al.
Addiction (2024) Vol. 119, Iss. 11, pp. 1937-1946
Open Access
A data‐driven, multi‐domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes
Evan Fletcher, Brandon E. Gavett, Sarah Tomaszewski Farias, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2024) Vol. 16, Iss. 4
Open Access
Evidence of compensatory neural hyperactivity in a subgroup of chemotherapy-treated breast cancer survivors and its association with brain aging
Michele M. Mulholland, Alexa K. Stuifbergen, Alexa De La Torre Schutz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evidence of compensatory neural hyperactivity in a subgroup of breast cancer survivors treated with chemotherapy and its association with brain aging
Michele M. Mulholland, Alexa K. Stuifbergen, Alexa De La Torre Schutz, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
The effect of head motion on brain age prediction using deep convolutional neural networks
Pál Vakli, Béla Weiss, Dorina Rozmann, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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