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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:

Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework
N Chaitra, P. Vijaya, Gopikrishna Deshpande
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102099-102099
Closed Access | Times Cited: 77

Showing 1-25 of 77 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
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 72
Machine Learning-based Evaluation of Heart Rate Variability Response in Children with Autism Spectrum Disorder
Vazeer Ali Mohammed, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
(2023), pp. 1022-1028
Closed Access | Times Cited: 42
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
Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset
Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 12, pp. 3628-3637
Open Access | Times Cited: 73
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning
Cooper Mellema, Kevin P. Nguyen, Alex Treacher, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 41
Review of feature selection approaches based on grouping of features
Cihan Kuzudisli, Burcu Bakır-Güngör, Nurten Bulut, et al.
PeerJ (2023) Vol. 11, pp. e15666-e15666
Open Access | Times Cited: 29
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
Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN–LSTM model
Yongjie Xu, Zengjie Yu, Yisheng Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108196-108196
Open Access | Times Cited: 11
Early Prediction of Autism Spectrum Disorder by Computational Approaches to fMRI Analysis with Early Learning Technique
Priya Karunakaran, Yasir Babiker Hamdan, Sathish
Journal of Artificial Intelligence and Capsule Networks (2020) Vol. 2, Iss. 4, pp. 207-216
Open Access | Times Cited: 53
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
Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey
Subhasmita Swain, Bharat Bhushan, Gaurav Dhiman, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3981-4003
Open Access | Times Cited: 26
RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
Cihan Kuzudisli, Burcu Bakır-Güngör, Bahjat F. Qaqish, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2528-e2528
Open Access
Unveiling Autism’s Patterns: The Deep Dynamic Levenberg–Marquardt Approach
Mohemmed Sha, Abdullah Alqahtani, Shtwai Alsubai, et al.
Human Behavior and Emerging Technologies (2025) Vol. 2025, Iss. 1
Open Access
Explainable and secure framework for autism prediction using multimodal eye tracking and kinematic data
Ahmad Almadhor, Areej Alasiry, Shtwai Alsubai, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 3
Open Access
Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network
Mohammed Isam Al-Hiyali, Norashikin Yahya, Ibrahima Faye, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5256-5256
Open Access | Times Cited: 30
CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification
Wenjing Jiang, Shuaiqi Liu, Hong Zhang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 19
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
Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain
Wenjing Luo, Abigail S. Greene, R. Todd Constable
NeuroImage (2021) Vol. 240, pp. 118332-118332
Open Access | Times Cited: 24
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
Complex graph neural networks for medication interaction verification
Gustavo Westarb, Stéfano Frizzo Stefenon, Aurélio Faustino Hoppe, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 6, pp. 10383-10395
Open 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
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12565-12585
Closed Access | Times Cited: 3
Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI
Alishba Sadiq, Mohammed Isam Al-Hiyali, Norashikin Yahya, et al.
IEEE Access (2022) Vol. 10, pp. 14049-14061
Open Access | Times Cited: 14
A Comparative Analysis of Prediction of Autism Spectrum Disorder (ASD) using Machine Learning
V. Vishal, Abhishek Kumar Singh, Y. Bevish Jinila, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2022), pp. 1355-1358
Closed Access | Times Cited: 14
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