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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:

Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals
Abeg Kumar Jaiswal, Haider Banka
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 81-92
Closed Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101702-101702
Open Access | Times Cited: 291
Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis
Lina Wang, Weining Xue, Yang Li, et al.
Entropy (2017) Vol. 19, Iss. 6, pp. 222-222
Open Access | Times Cited: 241
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals
Ramy Hussein, Hamid Palangi, Rabab Ward, et al.
Clinical Neurophysiology (2018) Vol. 130, Iss. 1, pp. 25-37
Closed Access | Times Cited: 213
Detection of Epileptic Seizure Using Pretrained Deep Convolutional Neural Network and Transfer Learning
H. Selçuk Noğay, Hojjat Adeli
European Neurology (2020) Vol. 83, Iss. 6, pp. 602-614
Closed Access | Times Cited: 154
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection
Kemal Akyol
Expert Systems with Applications (2020) Vol. 148, pp. 113239-113239
Closed Access | Times Cited: 142
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy
Ahmed Abdelhameed, Magdy Bayoumi
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 128
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
Essam H. Houssein, Ibrahim E. Ibrahim, Nabil Neggaz, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115131-115131
Closed Access | Times Cited: 120
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 57
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
Wenna Chen, Yixing Wang, Yuhao Ren, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 44
A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals
Anubha Gupta, Pushpendra Singh, Mandar Karlekar
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 5, pp. 925-935
Closed Access | Times Cited: 154
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals
Abbas Rahimi, Pentti Kanerva, Luca Benini, et al.
Proceedings of the IEEE (2018) Vol. 107, Iss. 1, pp. 123-143
Open Access | Times Cited: 137
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113788-113788
Closed Access | Times Cited: 130
Time–frequency representation using IEVDHM–HT with application to classification of epileptic EEG signals
Rishi Raj Sharma, Ram Bilas Pachori
IET Science Measurement & Technology (2017) Vol. 12, Iss. 1, pp. 72-82
Open Access | Times Cited: 125
Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach
Lal Hussain
Cognitive Neurodynamics (2018) Vol. 12, Iss. 3, pp. 271-294
Open Access | Times Cited: 95
A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data
Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-12
Open Access | Times Cited: 92
Fuzzy distribution entropy and its application in automated seizure detection technique
Tao Zhang, Wanzhong Chen, Mingyang Li
Biomedical Signal Processing and Control (2017) Vol. 39, pp. 360-377
Closed Access | Times Cited: 88
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing
Alessio Burrello, Kaspar Schindler, Luca Benini, et al.
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2018)
Open Access | Times Cited: 86
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
Jiang Wu, Tengfei Zhou, Taiyong Li
Entropy (2020) Vol. 22, Iss. 2, pp. 140-140
Open Access | Times Cited: 82
Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform
S. Thomas George, M. S. P. Subathra, N. J. Sairamya, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 709-728
Closed Access | Times Cited: 82
EEG-Rhythm Specific Taylor–Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals
José Antonio de la O Serna, Mario R. Arrieta Paternina, A. Zamora, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 12, pp. 6542-6551
Closed Access | Times Cited: 71
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 668-668
Open Access | Times Cited: 64
Tetromino pattern based accurate EEG emotion classification model
Türker Tuncer, Şengül Doğan, Mehmet Bayğın, et al.
Artificial Intelligence in Medicine (2021) Vol. 123, pp. 102210-102210
Closed Access | Times Cited: 57
Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms
Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, et al.
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2019)
Open Access | Times Cited: 75
Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings
Alessio Burrello, Kaspar Schindler, Luca Benini, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 2, pp. 601-613
Open Access | Times Cited: 72
Generalized Stockwell transform and SVD-based epileptic seizure detection in EEG using random forest
Tao Zhang, Wanzhong Chen, Mingyang Li
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 3, pp. 519-534
Closed Access | Times Cited: 70
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