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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:

Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals
The‐Hanh Pham, Jahmunah Vicnesh, Joel Koh En Wei, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 3, pp. 971-971
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 306
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: 219
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 128
Myocardial infarction detection based on deep neural network on imbalanced data
Mohamed Hammad, Monagi H. Alkinani, Brij B. Gupta, et al.
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1373-1385
Closed Access | Times Cited: 118
Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
Prabal Datta Barua, Jahmunah Vicnesh, Raj Gururajan, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1192-1192
Open Access | Times Cited: 110
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Mehmet Bayğın, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104548-104548
Closed Access | Times Cited: 109
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 104
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 78
Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)
Hui Wen Loh, Chui Ping Ooi, Jahmunah Vicnesh, et al.
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 8963-8963
Open Access | Times Cited: 92
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals
Berna Arı, Nebras Sobahi, Ömer Faruk Alçin, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105311-105311
Closed Access | Times Cited: 44
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Computers in Biology and Medicine (2022) Vol. 146, pp. 105553-105553
Open Access | Times Cited: 41
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: 26
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: 12
Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments
Yue Pan, Andia Foroughi
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
Khosro Rezaee
Computer Science Review (2025) Vol. 56, pp. 100730-100730
Closed Access | Times Cited: 1
Accurate detection of myocardial infarction using non linear features with ECG signals
Chaitra Sridhar, Oh Shu Lih, Jahmunah Vicnesh, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 3, pp. 3227-3244
Closed Access | Times Cited: 54
A novel automated autism spectrum disorder detection system
Shu Lih Oh, Jahmunah Vicnesh, N. Arunkumar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2399-2413
Open Access | Times Cited: 51
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: 21
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: 19
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Risk Prediction for Early Chronic Kidney Disease: Results from an Adult Health Examination Program of 19,270 Individuals
Chin-Chuan Shih, Chi-Jie Lu, Gin‐Den Chen, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4973-4973
Open Access | Times Cited: 46
RETRACTED: Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection
S. R. Ashokkumar, S. Anupallavi, M. Premkumar, et al.
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 2, pp. 895-908
Closed Access | Times Cited: 35
Brain Functional Network Topology in Autism Spectrum Disorder: A Novel Weighted Hierarchical Complexity Metric for Electroencephalogram
Tanu Wadhera, Mufti Mahmud
IEEE Journal of Biomedical and Health Informatics (2022), pp. 1-8
Closed Access | Times Cited: 24
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
Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder
Benjamin T. Newman, Zachary Jacokes, Siva Venkadesh, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301964-e0301964
Open Access | Times Cited: 4
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