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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:

Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity
M. Reiter, Afrooz Jahedi, Jac Fredo Agastinose Ronickom, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3299-3310
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A review of resting-state fMRI and its use to examine psychiatric disorders
Edgar Canario, Donna Y. Chen, Bharat B. Biswal
Deleted Journal (2021) Vol. 1, Iss. 1, pp. 42-53
Open Access | Times Cited: 138
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: 75
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
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
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
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
Outlier-Based Autism Detection Using Longitudinal Structural MRI
K N Devika, Dwarikanath Mahapatra, Ramanathan Subramanian, et al.
IEEE Access (2022) Vol. 10, pp. 27794-27808
Open Access | Times Cited: 29
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
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
Multi-Slice Generation sMRI and fMRI for Autism Spectrum Disorder Diagnosis Using 3D-CNN and Vision Transformers
Asrar G. Alharthi, Salha M. Alzahrani
Brain Sciences (2023) Vol. 13, Iss. 11, pp. 1578-1578
Open Access | Times Cited: 10
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
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
Multimodal Autism Spectrum Disorder Diagnosis Method Based on DeepGCN
Mingzhi Wang, Jifeng Guo, Yongjie Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3664-3674
Open Access | Times Cited: 8
An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103108-103108
Closed Access | Times Cited: 19
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
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data
Oswaldo Artiles, Zeina Al Masry, Fahad Saeed
Neuroinformatics (2023) Vol. 21, Iss. 4, pp. 651-668
Closed Access | Times Cited: 6
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
ASDC-Net: Optimized Convolutional Neural Network-Based Automatic Autism Spectrum Disorder Classification Using rs-fMRI Data
Anjali Chandra, Shrish Verma, Ajay Singh Raghuvanshi, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 4, pp. 4189-4202
Closed Access | Times Cited: 4
Age- and Severity-Specific Deep Learning Models for Autism Spectrum Disorder Classification Using Functional Connectivity Measures
Vaibhav Jain, Chetan Rakshe, Sandeep Singh Sengar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 5, pp. 6847-6865
Closed Access | Times Cited: 4
Predicting Transdiagnostic Social Impairments in Childhood using Connectome-based Predictive Modeling
Alexander J. Dufford, Violet M. Kimble, Link Tejavibulya, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
Refurbished and improvised model using convolution network for autism disorder detection in facial images
Narinder Kaur, Ganesh Gupta
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 2, pp. 883-883
Open Access | Times Cited: 6
Autism Spectrum Disorder Detection by Hybrid Convolutional Recurrent Neural Networks from Structural and Resting State Functional MRI Images
E. Koc, Habil Kalkan, Semih Bilgen
Autism Research and Treatment (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 3
Identifying the Neurocognitive Difference Between Two Groups Using Supervised Learning
Ramchandra Rimal
Statistics Optimization & Information Computing (2023) Vol. 12, Iss. 1, pp. 15-33
Open Access | Times Cited: 3
A sex-dependent functional-effective connectivity model for diagnostic classification of Autism Spectrum Disorder using resting-state fMRI
Hossein Haghighat
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104837-104837
Closed Access | Times Cited: 2
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