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:

A Deep Neural Network Study of the ABIDE Repository on Autism Spectrum Classification
Xin Yang, T. Paul, Ning Zhang
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 4
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Shweta Jain, Hrudaya Kumar Tripathy, Saurav Mallik, et al.
IEEE Access (2023) Vol. 11, pp. 117741-117751
Open Access | Times Cited: 43

A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI
Faria Zarin Subah, Kaushik Deb, Pranab Kumar Dhar, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3636-3636
Open Access | Times Cited: 94

A study of brain networks for autism spectrum disorder classification using resting-state functional connectivity
Xin Yang, Ning Zhang, Paul Schrader
Machine Learning with Applications (2022) Vol. 8, pp. 100290-100290
Open Access | Times Cited: 47

Investigation of Machine Learning Methods for Early Prediction of Neurodevelopmental Disorders in Children
Sumbul Alam, P. Vivek Raja, Yonis Gulzar
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 38

Analysis of Brain Imaging Data for the Detection of Early Age Autism Spectrum Disorder Using Transfer Learning Approaches for Internet of Things
Adnan Ashraf, Qingjie Zhao, Waqas Haider Bangyal, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 4478-4489
Open Access | Times Cited: 28

Deep learning with image-based autism spectrum disorder analysis: A systematic review
Md. Zasim Uddin, Md Shahriar, Md. Nadim Mahamood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107185-107185
Closed Access | Times Cited: 23

Detection of Autism Spectrum Disorder Using A 1-Dimensional Convolutional Neural Network
Aythem Khairi Kareem, Mohammed M AL-Ani, Ahmed Adil Nafea
Baghdad Science Journal (2023) Vol. 20, Iss. 3(Suppl.), pp. 1182-1182
Open Access | Times Cited: 22

The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
i b, P. M. Durai Raj Vincent
Computer Science Review (2025) Vol. 56, pp. 100718-100718
Closed Access | Times Cited: 1

Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 42

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
Fangyu Zhang, Yanjie Wei, Jin Liu, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105854-105854
Open Access | Times Cited: 26

Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks
Johan Jönemo, David Abramian, Anders Eklund
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2773-2773
Open Access | Times Cited: 13

Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5

Deep Learning Detection of Autism Spectrum Disorder in Children and Adults
M. Sucharitha, B. Jyothi, Arunkumar Madupu, et al.
Smart innovation, systems and technologies (2025), pp. 501-511
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

DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder
S. Qasim Abbas, Lianhua Chi, Yi‐Ping Phoebe Chen
Artificial Intelligence in Medicine (2022) Vol. 136, pp. 102475-102475
Open Access | Times Cited: 17

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

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
Chengqi Zhang, Xiangzhu Meng, Qiang Liu, et al.
Neurocomputing (2023) Vol. 559, pp. 126791-126791
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

A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder
Mingzhi Wang, Zhiqiang Ma, Yongjie Wang, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0295621-e0295621
Open Access | Times Cited: 7

Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example
Samuel L. Warren, Danish M. Khan, Ahmed A. Moustafa
Brain and Behavior (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 2

The diagnosis of ASD with MRI: a systematic review and meta-analysis
Sjir J. C. Schielen, Jesper Pilmeyer, Albert P. Aldenkamp, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

A sex-dependent computer-aided diagnosis system for autism spectrum disorder using connectivity of resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 5, pp. 056034-056034
Closed Access | Times Cited: 8

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