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:

Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker
Chen-Yuan Kuo, Pei‐Lin Lee, Sheng‐Che Hung, et al.
Cerebral Cortex (2020) Vol. 30, Iss. 11, pp. 5844-5862
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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: 55

Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework
Chen-Yuan Kuo, Tsung-Ming Tai, Pei‐Lin Lee, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 37

Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry
Daichi Sone, Iman Beheshti
Journal of Personalized Medicine (2022) Vol. 12, Iss. 11, pp. 1850-1850
Open Access | Times Cited: 22

Predicting aging trajectories of decline in brain volume, cortical thickness and fractional anisotropy in schizophrenia
Jun-Ding Zhu, Shih‐Jen Tsai, Ching‐Po Lin, et al.
Schizophrenia (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12

Cerebellar EEG source localization reveals age‐related compensatory activity moderated by genetic risk for Alzheimer's disease
Elizabeth R. Paitel, Kristy A. Nielson
Psychophysiology (2023) Vol. 60, Iss. 12
Open Access | Times Cited: 12

Brain age vector: A measure of brain aging with enhanced neurodegenerative disorder specificity
Ran Chen, Yanwu Yang, Chenfei Ye, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 16, pp. 5017-5031
Open Access | Times Cited: 17

Brain Age Gap Associations with Body Composition and Metabolic Indices in an Asian Cohort: An MRI-Based Study
Han-Jui Lee, Chen-Yuan Kuo, Yu‐Chung Tsao, et al.
Archives of Gerontology and Geriatrics (2025), pp. 105830-105830
Closed Access

Dual temporal pathway model of emotion processing based on dynamic network reconfiguration analysis of EEG signals
Yan He, Liang Yuan, Ling Tong, et al.
Acta Psychologica (2025) Vol. 255, pp. 104912-104912
Closed Access

Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
Yunsong Luo, Wen-Yu Chen, Jiang Qiu, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16

Advanced brain ageing in adult psychopathology: A systematic review and meta-analysis of structural MRI studies
Kimberly V. Blake, Ziphozihle Ntwatwa, Tobias Kaufmann, et al.
Journal of Psychiatric Research (2022) Vol. 157, pp. 180-191
Open Access | Times Cited: 16

A radiomics-based brain network in T1 images: construction, attributes, and applications
Han Liu, Zhe Ma, Lijiang Wei, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 3

Multiscale Brain Age Prediction Reveals Region-Specific Accelerated Brain Aging in Parkinson's Disease
Yueh-Sheng Chen, Chen-Yuan Kuo, Cheng‐Hsien Lu, et al.
Neurobiology of Aging (2024) Vol. 140, pp. 122-129
Closed Access | Times Cited: 3

Brain Age Gap in Early Illness Schizophrenia and the Clinical High-Risk Syndrome: Associations With Experiential Negative Symptoms and Conversion to Psychosis
Jessica P.Y. Hua, Samantha V. Abram, Rachel Loewy, et al.
Schizophrenia Bulletin (2024) Vol. 50, Iss. 5, pp. 1159-1170
Open Access | Times Cited: 3

Artificial intelligence for the study of human ageing: a systematic literature review
Mary Carlota Bernal, Edgar Batista, Antoni Martínez-Ballesté, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11949-11977
Open Access | Times Cited: 3

Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology
Raluca Petrican, Sian Miles, Lily Rudd, et al.
Developmental Cognitive Neuroscience (2021) Vol. 52, pp. 101032-101032
Open Access | Times Cited: 20

Structural covariance networks in schizophrenia: A systematic review Part II
Konasale M. Prasad, Jonathan Rubin, Anirban Mitra, et al.
Schizophrenia Research (2021) Vol. 239, pp. 176-191
Open Access | Times Cited: 17

Age‐Related Differences of Cortical Topology Across the Adult Lifespan: Evidence From a Multisite MRI Study With 1427 Individuals
Yin Wang, Yinghui Zhang, Weihao Zheng, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 2, pp. 434-443
Closed Access | Times Cited: 12

Mapping individual structural covariance network in development brain with dynamic time warping
Hui Sun, Qinyao Sun, Yuanyuan Li, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 2

Gray matter volume and corresponding covariance connectivity are biomarkers for major depressive disorder
Xiao Hu, Bochao Cheng, Yuying Tang, et al.
Brain Research (2024) Vol. 1837, pp. 148986-148986
Closed Access | Times Cited: 2

Acceleration of brain aging after small-volume infarcts
Yuanyuan Peng, Chen-Yuan Kuo, Sheng‐Wei Chang, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 2

Classification differentiates clinical and neuroanatomic features of cerebral small vessel disease
Kun‐Hsien Chou, Pei‐Lin Lee, Li‐Ning Peng, et al.
Brain Communications (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 14

Predicting brain age gap with radiomics and automl: A Promising approach for age-Related brain degeneration biomarkers
Guo Xiaoliang, Yanhui Ding, Weizhi Xu, et al.
Journal of Neuroradiology (2023) Vol. 51, Iss. 3, pp. 265-273
Open Access | Times Cited: 5

Deep Learning-based Brain Age Prediction in Patients With Schizophrenia Spectrum Disorders
Woo‐Sung Kim, Da-Woon Heo, Junyeong Maeng, et al.
Schizophrenia Bulletin (2023) Vol. 50, Iss. 4, pp. 804-814
Closed Access | Times Cited: 5

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