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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:

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: 95

Showing 1-25 of 95 citing articles:

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: 74
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Muhammad Shoaib Farooq, Rabia Tehseen, Maidah Sabir, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 66
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
An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder
Rownak Ara Rasul, Promy Saha, Diponkor Bala, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100293-100293
Open Access | Times Cited: 18
Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
Meijie Liu, Baojuan Li, Dewen Hu
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 57
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
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Computers in Biology and Medicine (2022) Vol. 146, pp. 105553-105553
Open Access | Times Cited: 39
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
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: 24
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
[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: 22
AI-enabled Computational Intelligence Approach to Neurodevelopmental Disorders Detection Using rs-fMRI Data
Soham Bandyopadhyay, Monalisa Sarma, Debasis Samanta
Computers & Electrical Engineering (2025) Vol. 123, pp. 110117-110117
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
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network
Md Shale Ahammed, Sijie Niu, Md Rishad Ahmed, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 42
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review
M. E. Alqaysi, A. S. Albahri, Rula A. Hamid
International Journal of Telemedicine and Applications (2022) Vol. 2022, pp. 1-26
Open Access | Times Cited: 33
Functional Connectome–Based Predictive Modeling in Autism
Corey Horien, Dorothea L. Floris, Abigail S. Greene, et al.
Biological Psychiatry (2022) Vol. 92, Iss. 8, pp. 626-642
Open Access | Times Cited: 32
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method
A. S. Albahri, A. A. Zaidan, Hassan A. Alsattar, et al.
Computational Intelligence (2022) Vol. 39, Iss. 2, pp. 225-257
Closed Access | Times Cited: 28
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 53-117
Closed Access | Times Cited: 20
Understanding the Role of Connectivity Dynamics of Resting-State Functional MRI in the Diagnosis of Autism Spectrum Disorder: A Comprehensive Study
Yaser ElNakieb, Mohamed T. Ali, Ahmed Elnakib, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 56-56
Open Access | Times Cited: 19
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
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
Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
Marzena Oliveira Ribas, Martina Micai, Angela Caruso, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 145, pp. 105021-105021
Open Access | Times Cited: 24
Conditional Generative Adversarial Network Approach for Autism Prediction
K. Chola Raja, S. Kannimuthu
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 1, pp. 741-755
Open Access | Times Cited: 22
Detection of ASD Children through Deep-Learning Application of fMRI
Min Feng, Juncai Xu
Children (2023) Vol. 10, Iss. 10, pp. 1654-1654
Open Access | Times Cited: 13
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