
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:
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
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
Showing 1-25 of 101 citing articles:
Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium
Constantinos Constantinides, Laura K. M. Han, Clara Alloza, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1201-1209
Open Access | Times Cited: 74
Constantinos Constantinides, Laura K. M. Han, Clara Alloza, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1201-1209
Open Access | Times Cited: 74
Brain-age prediction: A systematic comparison of machine learning workflows
Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, et al.
NeuroImage (2023) Vol. 270, pp. 119947-119947
Open Access | Times Cited: 64
Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, et al.
NeuroImage (2023) Vol. 270, pp. 119947-119947
Open Access | Times Cited: 64
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
Roqaie Moqadam, Mahsa Dadar, Yashar Zeighami
Imaging Neuroscience (2024) Vol. 2, pp. 1-21
Open Access | Times Cited: 27
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
Max Korbmacher, Dennis van der Meer, Dani Beck, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
Cardiometabolic risk factors associated with brain age and accelerate brain ageing
Dani Beck, Ann‐Marie G. de Lange, Mads L. Pedersen, et al.
Human Brain Mapping (2021) Vol. 43, Iss. 2, pp. 700-720
Open Access | Times Cited: 72
Dani Beck, Ann‐Marie G. de Lange, Mads L. Pedersen, et al.
Human Brain Mapping (2021) Vol. 43, Iss. 2, pp. 700-720
Open Access | Times Cited: 72
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
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
Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions
Feipeng Wang, Wing‐Keung Wong, Zheng Wang, et al.
Resources Policy (2023) Vol. 85, pp. 103747-103747
Closed Access | Times Cited: 35
Feipeng Wang, Wing‐Keung Wong, Zheng Wang, et al.
Resources Policy (2023) Vol. 85, pp. 103747-103747
Closed Access | Times Cited: 35
Developmental brain changes during puberty and associations with mental health problems
Niousha Dehestani, Sarah Whittle, Nandita Vijayakumar, et al.
Developmental Cognitive Neuroscience (2023) Vol. 60, pp. 101227-101227
Open Access | Times Cited: 26
Niousha Dehestani, Sarah Whittle, Nandita Vijayakumar, et al.
Developmental Cognitive Neuroscience (2023) Vol. 60, pp. 101227-101227
Open Access | Times Cited: 26
Morphological and genetic decoding shows heterogeneous patterns of brain aging in chronic musculoskeletal pain
Lei Zhao, Jiao Liu, Wenhui Zhao, et al.
Nature Mental Health (2024) Vol. 2, Iss. 4, pp. 435-449
Closed Access | Times Cited: 10
Lei Zhao, Jiao Liu, Wenhui Zhao, et al.
Nature Mental Health (2024) Vol. 2, Iss. 4, pp. 435-449
Closed Access | Times Cited: 10
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models
Lara Dular, Franjo Pernuš, Žiga Špiclin
Computers in Biology and Medicine (2024) Vol. 173, pp. 108320-108320
Open Access | Times Cited: 9
Lara Dular, Franjo Pernuš, Žiga Špiclin
Computers in Biology and Medicine (2024) Vol. 173, pp. 108320-108320
Open Access | Times Cited: 9
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: 37
Pauline Mouchès, Matthias Wilms, Deepthi Rajashekar, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 8, pp. 2554-2566
Open Access | Times Cited: 37
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
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
Successful cognitive aging is associated with thicker anterior cingulate cortex and lower tau deposition compared to typical aging
Stefania Pezzoli, Joseph Giorgio, Adam Martersteck, et al.
Alzheimer s & Dementia (2023) Vol. 20, Iss. 1, pp. 341-355
Open Access | Times Cited: 22
Stefania Pezzoli, Joseph Giorgio, Adam Martersteck, et al.
Alzheimer s & Dementia (2023) Vol. 20, Iss. 1, pp. 341-355
Open Access | Times Cited: 22
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
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
L.K. Soumya Kumari, R. Sundarrajan
Brain Research (2023) Vol. 1823, pp. 148668-148668
Closed Access | Times Cited: 20
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
Yuetong Yu, H. Cui, Shalaila S. Haas, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 10
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
Christian Gaser, Polona Kalc, James H. Cole
Nature Computational Science (2024) Vol. 4, Iss. 10, pp. 744-751
Closed Access | Times Cited: 7
Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data
Juhyuk Han, Seo Yeong Kim, Junhyeok Lee, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8077-8077
Open Access | Times Cited: 25
Juhyuk Han, Seo Yeong Kim, Junhyeok Lee, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8077-8077
Open Access | Times Cited: 25
Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II
Philippe Jawinski, Sebastian Markett, Johanna Drewelies, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 24
Philippe Jawinski, Sebastian Markett, Johanna Drewelies, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open 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
Sihai Guan, Runzhou Jiang, Chun Meng, et al.
GeroScience (2023) Vol. 46, Iss. 1, pp. 1-20
Open Access | Times Cited: 16
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
Max Korbmacher, Tiril P. Gurholt, Ann‐Marie G. de Lange, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 13
Independent replication of advanced brain age in mild cognitive impairment and dementia: detection of future cognitive dysfunction
Helmet T. Karim, Howard Aizenstein, Akiko Mizuno, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 12, pp. 5235-5243
Open Access | Times Cited: 21
Helmet T. Karim, Howard Aizenstein, Akiko Mizuno, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 12, pp. 5235-5243
Open Access | Times Cited: 21
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
Zhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
NeuroImage (2023) Vol. 269, pp. 119911-119911
Open Access | Times Cited: 12
The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity
Gidon Levakov, Alon Kaplan, Anat Yaskolka Meir, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 12
Gidon Levakov, Alon Kaplan, Anat Yaskolka Meir, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 12