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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:

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: 293

Showing 26-50 of 293 citing articles:

Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 37
An overview of machine learning methods in enabling IoMT-based epileptic seizure detection
Alaa Lateef Noor Al-hajjar, Ali Kadhum M. Al‐Qurabat
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 16017-16064
Open Access | Times Cited: 32
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho, Narges Armanfard
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 7866-7874
Open Access | Times Cited: 24
Deep-learning-based intelligent neonatal seizure identification using spatial and spectral GNN optimized with the Aquila algorithm
Madhusundar Nelson, Surendran Rajendran, Osamah Ibrahim Khalaf, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 7, pp. 19645-19669
Open Access | Times Cited: 8
Data leakage in deep learning studies of translational EEG
Geoffrey Brookshire, Jake Kasper, Nicholas M. Blauch, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 7
Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review
Jie Yuan, Xuming Ran, Keyin Liu, et al.
Journal of Neuroscience Methods (2021) Vol. 368, pp. 109441-109441
Open Access | Times Cited: 53
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning
Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102854-102854
Closed Access | Times Cited: 49
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2021) Vol. 17, Iss. 3s, pp. 1-24
Open Access | Times Cited: 45
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Hui Wen Loh, Chui Ping Ooi, Shivani Dhok, et al.
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 2903-2917
Closed Access | Times Cited: 42
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
TIE-EEGNet: Temporal Information Enhanced EEGNet for Seizure Subtype Classification
Ruimin Peng, Changming Zhao, Jun Jiang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2567-2576
Open Access | Times Cited: 28
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sobhana Jahan, Farhana Nowsheen, Mahathir Mahmud Antik, et al.
IEEE Access (2023) Vol. 11, pp. 30690-30725
Open Access | Times Cited: 20
Diagnosis of Autism Spectrum Disorder Using Convolutional Neural Networks
Amna Mansur Hendr, Umar Ozgunalp, Meryem Erbilek Kaya
Electronics (2023) Vol. 12, Iss. 3, pp. 612-612
Open Access | Times Cited: 18
Neuromorphic deep spiking neural networks for seizure detection
Yikai Yang, Jason K. Eshraghian, Nhan Duy Truong, et al.
Neuromorphic Computing and Engineering (2023) Vol. 3, Iss. 1, pp. 014010-014010
Open Access | Times Cited: 18
Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4262-4262
Open Access | Times Cited: 18
Hybrid Attention Network for Epileptic EEG Classification
Yanna Zhao, Jiatong He, Fenglin Zhu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 06
Closed 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
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection
Jie Xu, Shasha Yuan, Junliang Shang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2037-2046
Closed Access | Times Cited: 6
Cosine convolutional neural network and its application for seizure detection
Guoyang Liu, Tian Lan, Yiming Wen, et al.
Neural Networks (2024) Vol. 174, pp. 106267-106267
Closed Access | Times Cited: 6
Interictal EEG source connectivity to localize the epileptogenic zone in patients with drug‐resistant epilepsy: A machine learning approach
Georgios Ntolkeras, Navaneethakrishna Makaram, Matteo Bernabei, et al.
Epilepsia (2024) Vol. 65, Iss. 4, pp. 944-960
Closed Access | Times Cited: 5
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
Sergio Alejandro Holguin-García, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Novel deep learning framework for detection of epileptic seizures using EEG signals
Sayani Mallick, Veeky Baths
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Training Datasets for Epilepsy Analysis: Preprocessing and Feature Extraction from Electroencephalography Time Series
C Riccio, Angelo Martone, Gaetano Zazzaro, et al.
Data (2024) Vol. 9, Iss. 5, pp. 61-61
Open Access | Times Cited: 5
Change-point detection with deep learning: A review
Ruiyu Xu, Zheren Song, Jianguo Wu, et al.
Frontiers of Engineering Management (2025)
Open Access
MAFBN: Multi-Attention Forward and Backward network to predict epileptic seizure
Tawfeeq Shawly, Ahmed A. Alsheikhy, Yahia Said, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107574-107574
Closed Access

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