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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:

Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis
Noura Alotaibi, Koushik Maharatna
Neural Computation (2021) Vol. 33, Iss. 7, pp. 1914-1941
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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: 14
EEG-based functional connectivity analysis of brain abnormalities: A systematic review study
Nastaran Khaleghi, Shaghayegh Hashemi, Mohammad Peivandi, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101476-101476
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
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
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
A review of Graph Neural Networks for Electroencephalography data analysis
Manuel Graña, Igone Morais-Quilez
Neurocomputing (2023) Vol. 562, pp. 126901-126901
Open Access | Times Cited: 15
Mechanical hierarchy in the formation and modulation of cortical folding patterns
Poorya Chavoshnejad, Liam Vallejo, Songyao Zhang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Machine learning and biosignals in the diagnosis of autism: a systematic literature review
Francisco Antonio Nascimento, Mehran Misaghi, Francisca Marta Nascimento de Oliveira Freitas, et al.
Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2025) Vol. 16, Iss. 1, pp. e4406-e4406
Open 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
Computer-Aided Autism Spectrum Disorder Diagnosis With Behavior Signal Processing
Ming Cheng, Yingying Zhang, Yixiang Xie, et al.
IEEE Transactions on Affective Computing (2023) Vol. 14, Iss. 4, pp. 2982-3000
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 hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG
Menaka Radhakrishnan, R. Karthik, Saranya Shanmugam, et al.
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4485-4503
Closed Access | Times Cited: 3
Physical Activity Design for Balance Rehabilitation in Children with Autism Spectrum Disorder
Andreea Maria Roșca, Ligia Rusu, Mihnea Ion Marin, et al.
Children (2022) Vol. 9, Iss. 8, pp. 1152-1152
Open Access | Times Cited: 13
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
An Effective Fusing Approach by Combining Connectivity Network Pattern and Temporal-Spatial Analysis for EEG-Based BCI Rehabilitation
Lei Cao, Wenrong Wang, Chenxi Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2264-2274
Open Access | Times Cited: 11
Identification of diagnostic markers for ASD: a restrictive interest analysis based on EEG combined with eye tracking
Binbin Sun, Bryan Wang, Zhen Wei, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study
Aditi Jaiswal, Peter Washington
JMIR Formative Research (2023) Vol. 8, pp. e52660-e52660
Open Access | Times Cited: 3
Autism Diagnosis using Linear and Nonlinear Analysis of Resting-State EEG and Self-Organizing Map
Jie Xu, Wenxiao Yang
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 2
Atypical cortical encoding of speech identifies children with Dyslexia versus Developmental Language Disorder
João Araújo, Benjamin D. Simons, Varghese Peter, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Autism Classification and Identification of Significant Brain Lobe Using Cepstral Coefficients
Saranya Shanmugam, Menaka Radhakrishnan
Traitement du signal (2024) Vol. 41, Iss. 1, pp. 23-34
Open Access
Detecting cognitive traits and occupational proficiency using EEG and statistical inference
Ilya Mikheev, Helen Steiner, Olga Martynova
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Diagnosis of Autism Spectrum Disorder by Dynamic Local Graph-Theory Indicators Based on Electroencephalogram
Hao Luo, Shuo Yang, Nanxiang Zhang, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 5
Open Access
Characterizing Autism Spectrum Disorder Through Fusion of Local Cortical Activation and Global Functional Connectivity Using Game-Based Stimuli and a Mobile EEG System
Yi‐Li Tseng, Chia-Hsin Lee, Yen‐Nan Chiu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3026-3035
Open Access
Multimodal Investigation of Dynamic Brain Network Alterations in Autism spectrum disorder: Linking Connectivity Dynamics to Symptoms and Developmental Trajectories
Lin Wan, Yuhang Li, Gang Zhu, et al.
NeuroImage (2024) Vol. 302, pp. 120895-120895
Open Access
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