Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 30 citing articles:

Classifying Cardiac Arrhythmia from ECG Signal Using 1D CNN Deep Learning Model
Adel Ali Ahmed, Waleed Ali, Talal A. A. Abdullah, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 562-562
Open Access | Times Cited: 73
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
Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory
Shahab Ul Hassan, Mohd Soperi Mohd Zahid, Talal A. A. Abdullah, et al.
Digital Health (2022) Vol. 8, pp. 205520762211027-205520762211027
Open Access | Times Cited: 36
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
On the variability of dynamic functional connectivity assessment methods
Mohammad Torabi, Georgios D. Mitsis, Jean‐Baptiste Poline
GigaScience (2024) Vol. 13
Open Access | Times Cited: 5
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
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Ali Yousefian, Farzaneh Shayegh, Zeinab Maleki
Frontiers in Systems Neuroscience (2023) Vol. 16
Open Access | Times Cited: 14
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
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
Machine Learning Differentiation of Autism Spectrum Sub-Classifications
Resham Thapa, Anurag Garikipati, M. Ciobanu, et al.
Journal of Autism and Developmental Disorders (2023) Vol. 54, Iss. 11, pp. 4216-4231
Open Access | Times Cited: 6
Explainable Deep Learning Model for Cardiac Arrhythmia Classification
Talal A. A. Abdullah, Mohd Soperi Bin Mohd Zahid, Tong Boon Tang, et al.
(2022), pp. 87-92
Closed Access | Times Cited: 10
Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels
Hyeokjin Kwon, Johanna Inhyang Kim, Seung-Yeon Son, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection
Roberto C. Sotero, José M. Sánchez‐Bornot, Yasser Iturria‐Medina
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Principal Subspace of Dynamic Functional Connectivity for Diagnosis of Autism Spectrum Disorder
Mohammed Isam Al-Hiyali, Norashikin Yahya, Ibrahima Faye, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9339-9339
Open Access | Times Cited: 8
Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder
Roberto C. Sotero, José M. Sánchez‐Bornot, Iman Shaharabi-Farahani, et al.
(2023), pp. 19-24
Closed Access | Times Cited: 4
Wavelet transform-based frequency self-adaptive model for functional brain network
Yupan Ding, Xiaowen Xu, Li‐Ling Peng, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 22, pp. 11181-11194
Closed Access | Times Cited: 3
Functional connectivity based machine learning approach for autism detection in young children using MEG signals
Kasturi Barik, Katsumi Watanabe, Joydeep Bhattacharya, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 2, pp. 026012-026012
Open Access | Times Cited: 2
Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method
Güzin ÖZMEN, Seral Özşen, Yahya Paksoy, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 11805-11829
Closed Access | Times Cited: 2
Advancing ASD Diagnostic Classification with Features of Continuous Wavelet Transform of fMRIand Machine Learning Algorithms
Tikaram Tikaram, Manasi Bharat Ingle, Chetan Rakshe, et al.
(2023), pp. 571-577
Closed Access | Times Cited: 2
Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning
Paul A. Constable, Javier Orlando Pinzón-Arenas, Luís Roberto Mercado Díaz, et al.
Bioengineering (2024) Vol. 12, Iss. 1, pp. 15-15
Open Access
Cardiac Arrhythmia Classification Using Convolutional Neural Network
Oumaima Gamgami, Reda Korikache, Amine Chaieb
(2024), pp. 297-308
Closed Access
Enhanced Spatial and Temporal Feature Integration for fMRI-Based ASD Classification
Minghui Tan, Xin Deng, Lianhua Zhang, et al.
(2024) Vol. 5, pp. 222-226
Closed Access
Advancing ASD diagnostic classification using time-frequency spectrograms of fMRI BOLD signals and machine learning
Tikaram Tikaram, Utkarsh Raj, Ravi Ratnaik, et al.
Research Square (Research Square) (2024)
Open Access
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection
Roberto C. Sotero, José M. Sánchez‐Bornot, Yasser Iturria‐Medina
(2023), pp. 41-47
Open Access | Times Cited: 1
On the variability of dynamic functional connectivity assessment methods
Mohammad Torabi, Georgios D. Mitsis, Jean‐Baptiste Poline
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top