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:

Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks
Sakib Mostafa, Lingkai Tang, Fang‐Xiang Wu
IEEE Access (2019) Vol. 7, pp. 128474-128486
Open Access | Times Cited: 74

Showing 1-25 of 74 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: 218

rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Caio Pinheiro Santana, Emerson Carvalho, Igor Duarte Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 80

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: 78

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

Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning
Wutao Yin, Sakib Mostafa, Fang‐Xiang Wu
Journal of Computational Biology (2020) Vol. 28, Iss. 2, pp. 146-165
Closed Access | Times Cited: 98

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
Fahad Almuqhim, Fahad Saeed
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 92

Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey
Taban Eslami, Fahad Almuqhim, Joseph S. Raiker, et al.
Frontiers in Neuroinformatics (2021) Vol. 14
Open Access | Times Cited: 87

Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86

A Multi-Classifier-Based Recommender System for Early Autism Spectrum Disorder Detection using Machine Learning
Anita Shinde, Dipti D. Patil
Healthcare Analytics (2023) Vol. 4, pp. 100211-100211
Open Access | Times Cited: 28

Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey
Eman Mohamed Helmy, Ahmed Elnakib, Yaser ElNakieb, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1858-1858
Open Access | Times Cited: 26

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: 26

Network Learning for Biomarker Discovery
Yulian Ding, Minghan Fu, Ping Luo, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 51-65
Open Access | Times Cited: 24

[Retracted] Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques
Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Junaid Asghar, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 23

Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning
Fengkai Ke, Seungjin Choi, Young Ho Kang, et al.
IEEE Access (2020) Vol. 8, pp. 153341-153352
Open Access | Times Cited: 68

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: 43

A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and adolescents
Jyotismita Talukdar, Deba Kanta Gogoi, Thipendra P. Singh
Healthcare Analytics (2023) Vol. 3, pp. 100178-100178
Open Access | Times Cited: 22

A semi-supervised autoencoder for autism disease diagnosis
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2022) Vol. 483, pp. 140-147
Closed Access | Times Cited: 24

A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
Ning Qiang, Jie Gao, Qinglin Dong, et al.
Behavioural Brain Research (2023) Vol. 452, pp. 114603-114603
Closed Access | Times Cited: 12

Deep learning in pediatric neuroimaging
Jian Wang, Jiaji Wang, Shuihua Wang‎, et al.
Displays (2023) Vol. 80, pp. 102583-102583
Open Access | Times Cited: 12

Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Ranjeet Vasant Bidwe, Sashikala Mishra, Simi Bajaj, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

An exploration of machine learning approaches for early Autism Spectrum Disorder detection
Nawshin Haque, Tania Islam, Md. Erfan
Healthcare Analytics (2025), pp. 100379-100379
Open Access

Diagnosis of autism spectrum disorder with convolutional autoencoder and structural MRI images
Sakib Mostafa, Fang‐Xiang Wu
Elsevier eBooks (2021), pp. 23-38
Closed Access | Times Cited: 25

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: 25

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

The role of stimulant washout status in functional connectivity of default mode and fronto-parietal networks in children with neurodevelopmental conditions
Kelsey Harkness, Signe Bray, Kara Murias
Research in Developmental Disabilities (2024) Vol. 146, pp. 104691-104691
Open Access | Times Cited: 3

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