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:

Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
Jaroslav Rokicki, Thomas Wolfers, Wibeke Nordhøy, et al.
Human Brain Mapping (2020) Vol. 42, Iss. 6, pp. 1714-1726
Open Access | Times Cited: 95

Showing 1-25 of 95 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

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

Investigating the impact of motion in the scanner on brain age predictions
Roqaie Moqadam, Mahsa Dadar, Yashar Zeighami
Imaging Neuroscience (2024) Vol. 2, pp. 1-21
Open Access | Times Cited: 27

Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry
Masaru Tanaka, Simone Battaglia, Lydia Giménez‐Llort, et al.
Cells (2024) Vol. 13, Iss. 10, pp. 790-790
Open Access | Times Cited: 19

Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry
Masaru Tanaka, Simone Battaglia, Lydia Giménez‐Llort, et al.
(2024)
Open Access | Times Cited: 18

Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions
Pauline Mouchès, Matthias Wilms, Deepthi Rajashekar, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 8, pp. 2554-2566
Open Access | Times Cited: 39

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Robert J. Jirsaraie, Aaron J. Gorelik, Mārtiņš M. Gataviņš, et al.
Patterns (2023) Vol. 4, Iss. 4, pp. 100712-100712
Open Access | Times Cited: 38

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: 34

Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities
Ruiye Chen, Yueye Wang, Shiran Zhang, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 26

BrainAGE, brain health, and mental disorders: A systematic review
Johanna Seitz‐Holland, Shalaila S. Haas, Nora Penzel, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 159, pp. 105581-105581
Closed Access | Times Cited: 11

Construction of brain age models based on structural and white matter information
Xinghao Wang, Zaimin Zhu, Xinyuan Xu, et al.
Brain Research (2025) Vol. 1851, pp. 149458-149458
Closed Access | Times Cited: 1

Brain age in mood and psychotic disorders: a systematic review and meta‐analysis
Pedro L. Ballester, Maria T. Romano, Taiane de Azevedo Cardoso, et al.
Acta Psychiatrica Scandinavica (2021) Vol. 145, Iss. 1, pp. 42-55
Closed Access | Times Cited: 54

A history of previous childbirths is linked to women's white matter brain age in midlife and older age
Irene Voldsbekk, Cláudia Barth, Ivan I. Maximov, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 13, pp. 4372-4386
Open Access | Times Cited: 42

Sex‐ and age‐specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort
Sivaniya Subramaniapillai, Sana Suri, Cláudia Barth, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 12, pp. 3759-3774
Open Access | Times Cited: 31

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: 22

Age-level bias correction in brain age prediction
Biao Zhang, Shuqin Zhang, Jianfeng Feng, et al.
NeuroImage Clinical (2023) Vol. 37, pp. 103319-103319
Open Access | Times Cited: 18

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

Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis
Haiyan Zhao, Hongjie Cai, Manhua Liu
Medical Image Analysis (2024) Vol. 94, pp. 103140-103140
Closed Access | Times Cited: 7

Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size
Yuetong Yu, H. Cui, Shalaila S. Haas, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 10
Open Access | Times Cited: 7

Multimodal Image Analysis of Apparent Brain Age Identifies Physical Fitness as Predictor of Brain Maintenance
Tora Dunås, Anders Wåhlin, Lars Nyberg, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 7, pp. 3393-3407
Open Access | Times Cited: 41

Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges
Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 99-116
Closed Access | Times Cited: 24

Brain age prediction across the human lifespan using multimodal MRI data
Sihai Guan, Runzhou Jiang, Chun Meng, et al.
GeroScience (2023) Vol. 46, Iss. 1, pp. 1-20
Open Access | Times Cited: 16

Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11
Sara Fernández‐Cabello, Dag Alnæs, Dennis van der Meer, et al.
NeuroImage (2022) Vol. 263, pp. 119611-119611
Open Access | Times Cited: 22

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