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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:

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 211

Showing 26-50 of 211 citing articles:

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 3, pp. 2381-2402
Open Access | Times Cited: 42
Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint
Robert Karpiński, Przemysław Krakowski, Józef Jonak, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3765-3765
Open Access | Times Cited: 39
MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder
Jiacheng Pan, Haocai Lin, Yihong Dong, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105823-105823
Closed Access | Times Cited: 38
Investigation of Machine Learning Methods for Early Prediction of Neurodevelopmental Disorders in Children
Sumbul Alam, P. Vivek Raja, Yonis Gulzar
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 37
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation
Mayank Mishra, Umesh Chandra Pati
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104686-104686
Closed Access | Times Cited: 34
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism
Peter Washington, Dennis P. Wall
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 211-228
Open Access | Times Cited: 31
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: 26
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
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: 22
Identification of autism spectrum disorder based on electroencephalography: A systematic review
Jing Li, Xiangjin Kong, Linlin Sun, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108075-108075
Closed Access | Times Cited: 13
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
Teachers and educators’ experiences and perceptions of artificial-powered interventions for autism groups
Guang Li, Mohammad Amin Zarei, Goudarz Alibakhshi, et al.
BMC Psychology (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
Sara Saponaro, Francesca Lizzi, Giacomo Serra, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Efficient Diagnosis of Autism Spectrum Disorder Using Optimized Machine Learning Models Based on Structural MRI
Reem Ahmed Bahathiq, Haneen Banjar, Salma Kammoun Jarraya, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 473-473
Open Access | Times Cited: 7
Predictive approach for Autism Detection using Computer Vision and Deep Learning
Rajiv Pandey, Neetigya Maurya, Pratibha Maurya, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 7
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2021) Vol. 17, Iss. 3s, pp. 1-24
Open Access | Times Cited: 45
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 43
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 36
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Attention Measurement of an Autism Spectrum Disorder User Using EEG Signals: A Case Study
José Jaime Esqueda-Elizondo, Reyes Juárez‐Ramírez, Oscar Roberto López-Bonilla, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 2, pp. 21-21
Open Access | Times Cited: 29
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
Diagnosis of Autism Spectrum Disorder Using Convolutional Neural Networks
Amna Mansur Hendr, Umar Ozgunalp, Meryem Erbilek Kaya
Electronics (2023) Vol. 12, Iss. 3, pp. 612-612
Open Access | Times Cited: 18
Developing System-based Voice Features for Detecting Parkinson’s Disease Using Machine Learning Algorithms
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani, Deepika Koundal
Deleted Journal (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 6
MADE-for-ASD: A multi-atlas deep ensemble network for diagnosing Autism Spectrum Disorder
Xuehan Liu, Md Rakibul Hasan, Tom Gedeon, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109083-109083
Open Access | Times Cited: 6
Joint learning of multi-level dynamic brain networks for autism spectrum disorder diagnosis
Na Li, Jinjie Xiao, Ning Mao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108054-108054
Open Access | Times Cited: 5

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