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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:

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

Showing 1-25 of 44 citing articles:

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
Adazd-Net: Automated adaptive and explainable Alzheimer’s disease detection system using EEG signals
Smith K. Khare, U. Rajendra Acharya
Knowledge-Based Systems (2023) Vol. 278, pp. 110858-110858
Open Access | Times Cited: 53
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: 16
Automatic and Efficient Framework for Identifying Multiple Neurological Disorders From EEG Signals
Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, et al.
IEEE Transactions on Technology and Society (2023) Vol. 4, Iss. 1, pp. 76-86
Closed Access | Times Cited: 38
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
An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting
Eva Chondrodima, Nikos Pelekis, Aggelos Pikrakis, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 5, pp. 4872-4888
Closed Access | Times Cited: 20
Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths
Sultan Mohammad Manjur, Luís Roberto Mercado Díaz, Irene Lee, et al.
Journal of Autism and Developmental Disorders (2024)
Closed Access | Times Cited: 5
GENet: A Generic Neural Network for Detecting Various Neurological Disorders from EEG
Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 5, pp. 1829-1842
Closed Access | Times Cited: 5
Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals
Noor Kamal Al-Qazzaz, Alaa A. Aldoori, A. Buniya, et al.
IEEE Access (2024) Vol. 12, pp. 64510-64530
Open Access | Times Cited: 5
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests
Asmaa H. Rabie, Ahmed I. Saleh
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 11
prova de conceito para o diagnóstico diferencial do transtorno do espectro autista usando aprendizado de máquina
Flávio Secco Fonseca, Maria Vitória Soares Muniz, Catarina Victória Nascimento de Oliveira, et al.
Gestão org (2025) Vol. 22, Iss. 1, pp. 1-20
Open Access
A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals
Orhan Atıla, Muhammed Halil Akpınar, Abdulkadir Şengür, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108752-108752
Closed Access
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access
Spatial pyramid pooling (SPP-NET) compared with convolutional neural networks to recognise the object from given images with improved accuracy
Divya Kiran, T. Rajesh Kumar
AIP conference proceedings (2025) Vol. 3270, pp. 020058-020058
Closed Access
Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review
Sushmit Das, Reza Zomorrodi, Mina Mirjalili, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2022) Vol. 123, pp. 110705-110705
Open Access | Times Cited: 18
Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram
Hugo F. Posada–Quintero, Sultan Mohammad Manjur, Md-Billal Hossain, et al.
Research in autism spectrum disorders (2023) Vol. 109, pp. 102258-102258
Closed Access | Times Cited: 10
Identifying autism using EEG: unleashing the power of feature selection and machine learning
Anamika Ranaut, Padmavati Khandnor, Trilok Chand
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035013-035013
Closed Access | Times Cited: 3
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Shivani Pandya, Swati Jain, J. P. Verma
Computers in Biology and Medicine (2023) Vol. 168, pp. 107801-107801
Closed Access | Times Cited: 8
Classification of low-functioning and high-functioning autism using task-based EEG signals
B Divya, Udayakumar Narasimhan, Rajamanickam Yuvaraj, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105074-105074
Closed Access | Times Cited: 7
Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis
Jacek Rogala, Jarosław Żygierewicz, Urszula Malinowska, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
CNN-FEBAC: A framework for attention measurement of autistic individuals
Manan S. Patel, Harsh Bhatt, Manushi Munshi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105018-105018
Closed Access | Times Cited: 6
Autism Detection from 2D Transformed EEG Signal using Convolutional Neural Network
Zahrul Jannat Peya, M. A. H. Akhand, Jannatul Ferdous Srabonee, et al.
Journal of Computer Science (2022) Vol. 18, Iss. 8, pp. 695-704
Open Access | Times Cited: 8
ASD2-TL∗ GTO: Autism spectrum disorders detection via transfer learning with gorilla troops optimizer framework
Abdulqader M. Almars, Mahmoud Badawy, Mostafa A. Elhosseini
Heliyon (2023) Vol. 9, Iss. 11, pp. e21530-e21530
Open Access | Times Cited: 4
Grid-tuned ensemble models for 2D spectrogram-based autism classification
Muhammad Zakir Ullah, Dongchuan Yu
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106151-106151
Closed Access | Times Cited: 1
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