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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:

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

Showing 12 citing articles:

Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study
Jun-Ding Zhu, Yung‐Fu Wu, Shih‐Jen Tsai, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
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
Multi-center brain age prediction via dual-modality fusion convolutional network
Xuebin Chang, Xiaoyan Jia, Simon B. Eickhoff, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103455-103455
Closed Access
Local cortical structure pattern and genetic links in schizophrenia: An MRI and CRISPR/Cas9 study
Pei-Shan Hou, Shu-fei Lin, Jun-Ding Zhu, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2025), pp. 111270-111270
Open Access
Morphometric Analysis of Neocortical and Infratentorial Structures: Genetic and Environmental Insights from a Twin Neuroanatomical Study
Amirreza Alijanpourotaghsara, Arsalan Vessal, Amirmasoud Alijanpour, et al.
Medicina (2025) Vol. 61, Iss. 2, pp. 261-261
Open Access
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
Age Prediction Using Resting-State Functional MRI
Jose Ramon Chang, Zai‐Fu Yao, Shulan Hsieh, et al.
Neuroinformatics (2024) Vol. 22, Iss. 2, pp. 119-134
Open Access | Times Cited: 1
Predicting Brain Age and Gender from Brain Volume Data Using Variational Quantum Circuits
Yeong-Jae Jeon, Shin‐Eui Park, Hyeon‐Man Baek
Brain Sciences (2024) Vol. 14, Iss. 4, pp. 401-401
Open Access | Times Cited: 1
Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury
Xiang Zhang, Yizhen Pan, Tingting Wu, et al.
NeuroImage (2024) Vol. 297, pp. 120751-120751
Open Access | Times Cited: 1
MRI-informed machine learning-driven brain age models for classifying mild cognitive impairment converters
Hanna Lu, Jing Li
Journal of Central Nervous System Disease (2024) Vol. 16
Open Access
A Comparative Study of Frontal and Cerebellar Lobe Volumes Between Patients With First-Episode Schizophrenia and Healthy Controls and Its Association With Psychopathology and Neurological Soft Signs in Patients
Saswati Mahapatra, Ajish G. Mangot, Asif Tamboli
Cureus (2024)
Open Access
Lower cortical thickness and increased brain aging in adults with cocaine use disorder
David Schinz, Benita Schmitz‐Koep, Marlene Tahedl, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 1
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