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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:

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
Fangyu Zhang, Yanjie Wei, Jin Liu, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105854-105854
Open Access | Times Cited: 28

Showing 1-25 of 28 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: 79
Analysis of Brain Imaging Data for the Detection of Early Age Autism Spectrum Disorder Using Transfer Learning Approaches for Internet of Things
Adnan Ashraf, Qingjie Zhao, Waqas Haider Bangyal, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 4478-4489
Open Access | Times Cited: 30
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
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
An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model
R Parvathy, Rajesh Arunachalam, Sukumaran Damodaran, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107737-107737
Closed Access | Times Cited: 1
Knowledge concept recognition in the learning brain via fMRI classification
Wenxin Zhang, Yiping Zhang, Liqian Sun, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Prediction Level Fusion of Vision Transformers (PF-ViTs) based Network for the Detection of Autism Spectrum Disorder using sMRI
Mayank Mishra, Umesh Chandra Pati
Intelligent Data Analysis (2025)
Closed Access
Hybrid deep learning method to identify key genes in autism spectrum disorder
Nirupma Singh, Asmita Patel, Nidhi Verma, et al.
Healthcare Technology Letters (2025)
Open Access
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: 3
Separating Group- and Individual-level Brain Signatures in the Newborn Functional Connectome: A Deep Learning Approach
Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Catherine Limperopoulos
NeuroImage (2024) Vol. 299, pp. 120806-120806
Open Access | Times Cited: 3
ASD-SWNet: a novel shared-weight feature extraction and classification network for autism spectrum disorder diagnosis
Jian Zhang, Jifeng Guo, Donglei Lu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
ASD-GANNet: A Generative Adversarial Network-Inspired Deep Learning Approach for the Classification of Autism Brain Disorder
Naseer Ahmed Khan, Xuequn Shang
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 766-766
Open Access | Times Cited: 2
Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis
Xiaoke Hao, Qijin An, Jiayang Li, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 11
Automatic Diagnosis of Autism Spectrum Disorder Detection Using a Hybrid Feature Selection Model with Graph Convolution Network
Manjunath Ramanna Lamani, P. Julian Benadit
SN Computer Science (2023) Vol. 5, Iss. 1
Closed Access | Times Cited: 6
Diagnosis of Autism Spectrum Disorder: A Review of Three Focused Interventions
D. Swainson Sujana, D. Peter Augustine
SN Computer Science (2023) Vol. 4, Iss. 2
Closed Access | Times Cited: 5
Machine Learning Techniques for Autism Spectrum Disorder: current trends and future directions
Kainat Khan, Rahul Katarya
(2023) Vol. 100, pp. 1-7
Closed Access | Times Cited: 5
An Attention-Based Hybrid Optimized Residual Memory Network (AHRML) Method for Autism Spectrum Disorder (ASD) Detection
Muhanna K. Al‐Muhanna, Amani Alghamdi, Bahauddeen M. Alrfaei, et al.
Deleted Journal (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 1
Microbiome-Gut-Brain Axis: AI Insights
Arif Amaan, Prekshi Garg, Srivastava Prachi
Insights in Biology and Medicine (2024) Vol. 8, Iss. 2, pp. 001-010
Open Access | Times Cited: 1
Optimized Deep Convolutional Neural Network for Autism Spectrum Disorder Detection Using Structural MRI and DTPSO
Kambham Sravani, P. Kuppusamy
IEEE Access (2024) Vol. 12, pp. 110035-110051
Open Access | Times Cited: 1
Discrete learning-based intelligent methodology for heart disease diagnosis
Mehdi Khashei, Negar Bakhtiarvand
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104700-104700
Closed Access | Times Cited: 3
Interpretation of deep non-linear factorization for autism
Boran Chen, Bo Yin, Hengjin Ke
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 2
Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders
Yixin Ji, Rogers F. Silva, Tülay Adalı, et al.
Research Square (Research Square) (2024)
Open Access
ASD-GANNet: A GAN inspired Deep Learning Approach for the Classification of Human’s Autism Brain Disorder
Naseer Ahmed Khan, Xuequn Shang
(2024)
Open Access
Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders
Yixin Ji, Rogers F. Silva, Tülay Adalı, et al.
NeuroImage Clinical (2024) Vol. 43, pp. 103663-103663
Open Access
Brain functional network connectivity interpolation characterizes neuropsychiatric continuum and heterogeneity
Xinhui Li, Eloy Geenjaar, Zening Fu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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