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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:

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: 107

Showing 1-25 of 107 citing articles:

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
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: 125
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: 103
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: 72
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
i b, P. M. Durai Raj Vincent
Computer Science Review (2025) Vol. 56, pp. 100718-100718
Closed Access | Times Cited: 1
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
Andrea Loddo, Sara Buttau, Cecilia Di Ruberto
Computers in Biology and Medicine (2021) Vol. 141, pp. 105032-105032
Closed Access | Times Cited: 100
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 50
A Multimodal Approach for Identifying Autism Spectrum Disorders in Children
Junxia Han, Guoqian Jiang, Gaoxiang Ouyang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2003-2011
Open Access | Times Cited: 47
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: 42
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: 39
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
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
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: 8
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
Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results
Sultan Mohammad Manjur, Md-Billal Hossain, Paul A. Constable, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3435-3438
Open Access | Times Cited: 28
ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects
Amulya Agrawal, Aniket Chauhan, Manu Kumar Shetty, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105540-105540
Open Access | Times Cited: 27
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
Energy-Efficient EEG-Based Scheme for Autism Spectrum Disorder Detection Using Wearable Sensors
Sarah Alhassan, Adel Soudani, Manan AlMusallam
Sensors (2023) Vol. 23, Iss. 4, pp. 2228-2228
Open Access | Times Cited: 17
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
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 17
Deep feature selection using adaptive β-Hill Climbing aided whale optimization algorithm for lung and colon cancer detection
Agnish Bhattacharya, Biswajit Saha, Soham Chattopadhyay, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104692-104692
Closed Access | Times Cited: 16
Fuzzy Decision-Making Framework for Sensitively Prioritizing Autism Patients with Moderate Emergency Level
H Talib, A. S. Albahri, Thierry Oscar Edoh
Applied Data Science and Analysis (2023), pp. 16-41
Open Access | Times Cited: 16
An Automatic Framework for Detecting Autism Spectrum Disorder From EEG Signals Using TFD
Rajveer Singh Lalawat, Varun Bajaj
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10632-10639
Closed Access | Times Cited: 5
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