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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:

Deep neural networks learn general and clinically relevant representations of the ageing brain
Esten H. Leonardsen, Han Peng, Tobias Kaufmann, et al.
NeuroImage (2022) Vol. 256, pp. 119210-119210
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Mind the gap: Performance metric evaluation in brain‐age prediction
Ann‐Marie G. de Lange, Melis Anatürk, Jaroslav Rokicki, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 10, pp. 3113-3129
Open Access | Times Cited: 101
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment
Chenzhong Yin, Phoebe Imms, Mingxi Cheng, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 2
Open Access | Times Cited: 66
The genetic architecture of multimodal human brain age
Junhao Wen, Bingxin Zhao, Zhijian Yang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 21
Brain asymmetries from mid- to late life and hemispheric brain age
Max Korbmacher, Dennis van der Meer, Dani Beck, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 5
Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort
Madelene Holm, Esten H. Leonardsen, Dani Beck, et al.
Developmental Cognitive Neuroscience (2023) Vol. 60, pp. 101220-101220
Open Access | Times Cited: 32
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: 28
Brain structure ages—A new biomarker for multi‐disease classification
Huy‐Dung Nguyen, Michaël Clément, Boris Mansencal, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 1
Open Access | Times Cited: 11
Deep learning to quantify the pace of brain aging in relation to neurocognitive changes
Chenzhong Yin, Phoebe Imms, Nahian F. Chowdhury, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access | Times Cited: 1
Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank
Yi Fan, Jing Yuan, Judith Somekh, et al.
Science Advances (2025) Vol. 11, Iss. 11
Closed Access | Times Cited: 1
Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias
Robert J. Jirsaraie, Tobias Kaufmann, Vishnu Bashyam, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 3, pp. 1118-1128
Open Access | Times Cited: 37
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Max Korbmacher, Ann‐Marie G. de Lange, Dennis van der Meer, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 10, pp. 4101-4119
Open Access | Times Cited: 21
A review on brain age prediction models
L.K. Soumya Kumari, R. Sundarrajan
Brain Research (2023) Vol. 1823, pp. 148668-148668
Closed Access | Times Cited: 20
Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults
Min Xiong, Lan Lin, Yue Jin, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3622-3622
Open Access | Times Cited: 19
Genetic architecture of brain age and its causal relations with brain and mental disorders
Esten H. Leonardsen, Dídac Vidal-Piñeiro, James M. Roe, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 7, pp. 3111-3120
Open Access | Times Cited: 18
Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting
David Wood, Matthew Townend, Emily Guilhem, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 4
Open Access | Times Cited: 7
A perspective on brain-age estimation and its clinical promise
Christian Gaser, Polona Kalc, James H. Cole
Nature Computational Science (2024) Vol. 4, Iss. 10, pp. 744-751
Closed Access | Times Cited: 7
Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm
Alfredo Montella, Mario Tranfa, Alessandra Scaravilli, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 6
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.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants
Max Korbmacher, Tiril P. Gurholt, Ann‐Marie G. de Lange, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 13
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
Esten H. Leonardsen, Karin Persson, Edvard Grødem, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset
Mariam Khayretdinova, Alexey Shovkun, V. N. Degtyarev, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 19
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
Zhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
NeuroImage (2023) Vol. 269, pp. 119911-119911
Open Access | Times Cited: 12
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
Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning
Lukas Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 4
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