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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 Prediction Using Machine Learning Methods
Syed Muhammad Usman, Muhammad Usman, Simon Fong
Computational and Mathematical Methods in Medicine (2017) Vol. 2017, pp. 1-10
Open Access | Times Cited: 189

Showing 1-25 of 189 citing articles:

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 139-155
Open Access | Times Cited: 255
Epileptic Seizures Prediction Using Deep Learning Techniques
Syed Muhammad Usman, Shehzad Khalid, Muhammad Haseeb Aslam
IEEE Access (2020) Vol. 8, pp. 39998-40007
Open Access | Times Cited: 166
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 131
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Milind Natu, Mrinal Bachute, Shilpa Gite, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 70
Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features
Kuldeep Singh, Jyoteesh Malhotra
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2405-2418
Open Access | Times Cited: 70
Detection of epileptic seizure in EEG signals using machine learning and deep learning techniques
Pankaj Kunekar, Mukesh Kumar Gupta, Pramod Gaur
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 15
Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis
Prableen Kaur, Manik Sharma
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 104
Detection of Epilepsy Seizures in Neo-Natal EEG Using LSTM Architecture
Muhammad Usman Abbasi, Anum Rashad, Anas Basalamah, et al.
IEEE Access (2019) Vol. 7, pp. 179074-179085
Open Access | Times Cited: 100
Epileptic seizure prediction using scalp electroencephalogram signals
Syed Muhammad Usman, Shehzad Khalid, Zafar I. Bashir
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 1, pp. 211-220
Closed Access | Times Cited: 75
Semi-dilated convolutional neural networks for epileptic seizure prediction
Ramy Hussein, Soojin Lee, Rabab Ward, et al.
Neural Networks (2021) Vol. 139, pp. 212-222
Closed Access | Times Cited: 60
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 56
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: 38
D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism
Arfat Ahmad Khan, Rakesh Kumar Madendran, Usharani Thirunavukkarasu, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 755-769
Open Access | Times Cited: 37
Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance
Zhuozheng Shi, Zhiqiang Liao, Hitoshi Tabata
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4228-4239
Closed Access | Times Cited: 22
A comprehensive review for chronic disease prediction using machine learning algorithms
Rakibul Islam, Azrin Sultana, Mohammad Rashedul Islam
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Epileptic seizure detection and prediction using stacked bidirectional long short term memory
D. K. Thara, B. G. Premasudha, Fan Xiong
Pattern Recognition Letters (2019) Vol. 128, pp. 529-535
Closed Access | Times Cited: 72
Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies
Syed Muhammad Usman, Shehzad Khalid, Rizwan Akhtar, et al.
Seizure (2019) Vol. 71, pp. 258-269
Open Access | Times Cited: 66
Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal
Khakon Das, Debashis Das Chakladar, Partha Pratim Roy, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101720-101720
Closed Access | Times Cited: 54
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion
Zuyi Yu, Laurent Albera, Régine Le Bouquin Jeannès, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 07
Closed Access | Times Cited: 36
Multi-Channel Vision Transformer for Epileptic Seizure Prediction
Ramy Hussein, Soojin Lee, Rabab Ward
Biomedicines (2022) Vol. 10, Iss. 7, pp. 1551-1551
Open Access | Times Cited: 28
Classification of EEG Signals for Prediction of Epileptic Seizures
Muhammad Haseeb Aslam, Syed Muhammad Usman, Shehzad Khalid, et al.
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7251-7251
Open Access | Times Cited: 28
EEG signal analysis for epileptic seizures detection by applying Data Mining techniques
Gaetano Zazzaro, Salvatore Cuomo, Angelo Martone, et al.
Internet of Things (2019) Vol. 14, pp. 100048-100048
Closed Access | Times Cited: 44
Machine learning applications for electroencephalograph signals in epilepsy: a quick review
Yang Si
Acta Epileptologica (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 40
Convolutional neural networks ensemble model for neonatal seizure detection
M. Asjid Tanveer, Muhammad Jawad Khan, Hasan Sajid, et al.
Journal of Neuroscience Methods (2021) Vol. 358, pp. 109197-109197
Closed Access | Times Cited: 36
An Overview of EEG-based Machine Learning Methods in Seizure Prediction and Opportunities for Neurologists in this Field
Buajieerguli Maimaiti, Hongmei Meng, Yudan Lv, et al.
Neuroscience (2021) Vol. 481, pp. 197-218
Closed Access | Times Cited: 34
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