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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:

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

Showing 18 citing articles:

Autism Spectrum Disorder: Brain Areas Involved, Neurobiological Mechanisms, Diagnoses and Therapies
Jacopo Lamanna, Jacopo Meldolesi
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 4, pp. 2423-2423
Open Access | Times Cited: 16
Diagnosis of autism spectrum disorder: a systematic review of clinical and artificial intelligence methods
Sahar Taneera, Reda Alhajj
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
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
Latest clinical frontiers related to autism diagnostic strategies
Samuele Cortese, Alessio Bellato, Alessandra Gabellone, et al.
Cell Reports Medicine (2025), pp. 101916-101916
Open Access
Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
Muhammad Salman Kabir, Semen Kurkin, Galina Portnova, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115123-115123
Closed Access | Times Cited: 4
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Arya Tandy Hermawan, Ilham Ari Elbaith Zaeni, Aji Prasetya Wibawa, et al.
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 187-204
Open Access | Times Cited: 3
EEG Datasets for Healthcare: A Scoping Review
Caroline Peres da Silva, Salvatore Tedesco, Brendan O’Flynn
IEEE Access (2024) Vol. 12, pp. 39186-39203
Open Access | Times Cited: 3
A clinical decision support system using rough set theory and machine learning for disease prediction
Kamakhya Narain Singh, Jibendu Kumar Mantri
Intelligent Medicine (2024) Vol. 4, Iss. 3, pp. 200-208
Open Access | Times Cited: 3
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network
Neha Prerna Tigga, Shruti Garg, Nishant Goyal, et al.
Technology and Health Care (2024), pp. 1-25
Closed Access | Times Cited: 1
A machine learning model based on CHAT-23 for early screening of autism in Chinese children
Hengyang Lu, Heng Zhang, Yi Zhong, et al.
Frontiers in Pediatrics (2024) Vol. 12
Open Access | Times Cited: 1
Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Mohammad Hossein Moattar
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 2, pp. 495-503
Closed Access | Times Cited: 2
Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study
Si Yang Ke, Huiwen Wu, Haoqi Sun, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Application of Machine Learning Analysis of EEG Connectivity Data and Environmental Factors for the Identification of neurodevelopmental conditions
Caterina Piazza, Anna Falivene, Shalini Pandurangan, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-5
Closed 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
Graphical attention networks for autism spectrum disorder classification
Menaka Radhakrishnan, Vagisan Govindan, R. Karthik, et al.
DELETED (2024)
Closed Access
Magnetoencephalography in Psychiatry: A Perspective on Translational Research and Applications
Angelantonio Tavella, Peter J. Uhlhaas
Advances in neurobiology (2024), pp. 143-156
Closed Access
Autism Spectrum Disorder Classification with EEG Signals Using Dense Graph Convolution Neural Network Based on Brain Regions
Neha Prerna Tigga, Shruti Garg, Fady Alnajjar
Biosystems & biorobotics (2024), pp. 350-354
Closed Access
A Heuristic-Concatenated Feature Classification Algorithm (H-CFCA) for autism and epileptic seizure detection
S. Sivasaravana Babu, V. S. Prabhu, V. Parthasarathy, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105245-105245
Closed Access
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