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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:

Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model
Sérgio Leonardo Mendes, Walter Hugo Lopez Pinaya, Pedro Mário Pan, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

ADHD diagnosis using structural brain MRI and personal characteristic data with machine learning framework
Dhruv Chandra Lohani, Bharti Rana
Psychiatry Research Neuroimaging (2023) Vol. 334, pp. 111689-111689
Open Access | Times Cited: 21
Dense attentive GAN-based one-class model for detection of autism and ADHD
Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 10444-10458
Open Access | Times Cited: 20
BabyPy: a brain-age model for infancy, childhood and adolescence
Francesca Biondo, Jonathan O’Muircheartaigh, Richard A. I. Bethlehem, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review
Ahmad Chaddad, Jiali Li, Qizong Lu, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2032-2032
Open Access | Times Cited: 24
Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI
Sérgio Leonardo Mendes, Walter Hugo Lopez Pinaya, Pedro Mário Pan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation
Jaime Gómez‐Ramírez, Miguel A. Fernández‐Blázquez, Javier J. González-Rosa
Brain Sciences (2022) Vol. 12, Iss. 5, pp. 579-579
Open Access | Times Cited: 8
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
Diffusion Deep Learning for Brain Age Prediction and Longitudinal Tracking in Children Through Adulthood
Anna Zapaishchykova, Divyanshu Tak, Zezhong Ye, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood
Anna Zapaishchykova, Divyanshu Tak, Zezhong Ye, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-14
Open Access
Unraveling Gender-Specific Structural Brain Differences in Drug-Resistant Epilepsy through Advanced Deep Learning Techniques
Sema I. Athamnah, Enas Abdulhay, Firas Fohely, et al.
Informatics in Medicine Unlocked (2024) Vol. 51, pp. 101592-101592
Open Access
Brain tissue magnetic resonance imaging segmentation using anisotropic textural features
Afrooz Arzehgar, Fatemeh Davarinia, Mohammad Mahdi Khalilzadeh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49195-49212
Closed Access | Times Cited: 1
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