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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:

Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI
Matthew Leming, Simon Baron‐Cohen, John Suckling
Molecular Autism (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 217
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina, et al.
Information Fusion (2023) Vol. 100, pp. 101945-101945
Open Access | Times Cited: 96
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 75
Robust estimation of cortical similarity networks from brain MRI
Isaac Sebenius, Jakob Seidlitz, Varun Warrier, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 8, pp. 1461-1471
Open Access | Times Cited: 45
Toward individualized connectomes of brain morphology
Jinhui Wang, Yong He
Trends in Neurosciences (2023) Vol. 47, Iss. 2, pp. 106-119
Open Access | Times Cited: 27
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 37
A face image classification method of autistic children based on the two-phase transfer learning
Ying Li, Wen-Cong Huang, Peihua Song
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 13
Classification and Feature Selection of Autism Spectrum Disorder Using MRI Data: A Machine Learning Approach
Gulshan Chauhan, A. Jiran Meitei, Budhachandra Khundrakpam, et al.
Journal of Technology in Behavioral Science (2025)
Closed Access
A review of methods for classification and recognition of ASD using fMRI data
Weibin Feng, Guangyuan Liu, Kelong Zeng, et al.
Journal of Neuroscience Methods (2021) Vol. 368, pp. 109456-109456
Closed Access | Times Cited: 25
Automated diagnosis of autism with artificial intelligence: State of the art
Amir Valizadeh, Mana Moassefi, Amin Nakhostin-Ansari, et al.
Reviews in the Neurosciences (2023) Vol. 35, Iss. 2, pp. 141-163
Closed Access | Times Cited: 9
Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
Asrar G. Alharthi, Salha M. Alzahrani
Computers in Biology and Medicine (2023) Vol. 167, pp. 107667-107667
Closed Access | Times Cited: 9
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
C. Jiménez-Mesa, Javier Ramı́rez, Zhenghui Yi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 3
A Model for Diagnosing Autism Patients Using Spatial and Statistical Measures Using rs-fMRI and sMRI by Adopting Graphical Neural Networks
R. Kiruthigha, Suresh Jaganathan
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1143-1143
Open Access | Times Cited: 7
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
Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges
Mengjiao Hu, Cosimo Nardi, Haihong Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2302-2302
Open Access | Times Cited: 5
Structural Brain Imaging Biomarkers of Autism Spectrum Disorder
David G. Amaral, Derek Sayre Andrews, Christine Wu Nordahl
Advances in neurobiology (2024), pp. 491-509
Closed Access
Classification of Autism Spectrum Disorder Using Convolutional Neural Network
Asmaa Nasser Darweesh, Nancy M. Salem, Walid Al‐Atabany
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
MIND Networks: Robust Estimation of Structural Similarity from Brain MRI
Isaac Sebenius, Jakob Seidlitz, Varun Warrier, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Classification of Autism Spectrum Disorder Using Convolutional Neural Network
Asmaa Nasser Darweesh, Nancy M. Salem, Walid Al‐Atabany
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Automated diagnosis of autism: State of the art
Amir Valizadeh, Mana Moassefi, Amin Nakhostin-Ansari, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Higher-order interaction of brain microstructural and functional connectome
Hao Wang, Huijun Wu, Yang‐Yu Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
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