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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:

Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection
Ahmed Abdelhameed, Magdy Bayoumi
IEEE Signal Processing Letters (2019) Vol. 26, Iss. 12, pp. 1922-1926
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

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
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 72
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
Manuel J. Rivera, Miguel A. Teruel, Alejandro Maté, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1209-1251
Closed Access | Times Cited: 65
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
Rui Li, Chao Ren, Yiqing Ge, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110756-110756
Closed Access | Times Cited: 31
Automatic epileptic seizure detection using MSA-DCNN and LSTM techniques with EEG signals
M. Anita, A. Meena Kowshalya
Expert Systems with Applications (2023) Vol. 238, pp. 121727-121727
Closed Access | Times Cited: 22
Hierarchical Harris hawks optimization for epileptic seizure classification
Zhenzhen Luo, Shan Jin, Zuoyong Li, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105397-105397
Closed Access | Times Cited: 29
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.
IEEE Access (2022) Vol. 11, pp. 564-594
Open Access | Times Cited: 25
Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data
Manuel J. Rivera, Javier Sanchís, Óscar Corcho, et al.
IEEE Access (2024) Vol. 12, pp. 75483-75495
Open Access | Times Cited: 5
Unsupervised learning from EEG data for epilepsy: A systematic literature review
Alexandra-Maria Tăuƫan, Alexandra-Georgiana Andrei, Carmelo Smeralda, et al.
Artificial Intelligence in Medicine (2025) Vol. 162, pp. 103095-103095
Closed Access
FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network
Mrutyunjaya Sahani, Susanta Kumar Rout, P.K. Dash
Applied Soft Computing (2021) Vol. 110, pp. 107639-107639
Closed Access | Times Cited: 31
Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals
Mrutyunjaya Sahani, Susanta Kumar Rout, P.K. Dash
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 15, Iss. 3, pp. 595-605
Closed Access | Times Cited: 29
A channel independent generalized seizure detection method for pediatric epileptic seizures
Satarupa Chakrabarti, Aleena Swetapadma, Prasant Kumar Pattnaik
Computer Methods and Programs in Biomedicine (2021) Vol. 209, pp. 106335-106335
Closed Access | Times Cited: 28
A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals
Jolly Ehiabhi, Haifeng Wang
BioMedInformatics (2023) Vol. 3, Iss. 1, pp. 193-219
Open Access | Times Cited: 11
RNN-CNN Based Hybrid Deep Learning Model for Mental Healthcare
Sonali Chopra, Parul Agarwal, Jawed Ahmed, et al.
Algorithms for intelligent systems (2025), pp. 411-424
Closed Access
An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation
Susanta Kumar Rout, Mrutyunjaya Sahani, Chinmayee Dora, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103281-103281
Closed Access | Times Cited: 26
A new algorithm for Largest Lyapunov Exponent determination for noisy chaotic signal studies with application to Electroencephalographic signals analysis for epilepsy and epileptic seizures detection
Zayneb Brari, Safya Belghith
Chaos Solitons & Fractals (2022) Vol. 165, pp. 112757-112757
Closed Access | Times Cited: 17
Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands
Taufique Ahmed, Luca Longo
IEEE Access (2022) Vol. 10, pp. 107575-107586
Open Access | Times Cited: 17
Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal
Tao Xu, Yajing Wu, Yongqiang Tang, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 1499-1503
Closed Access | Times Cited: 3
Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection
Tao Zhang, Zhiwu Han, Xiaojuan Chen, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102827-102827
Closed Access | Times Cited: 20
Artificial Intelligence and Dimensionality Reduction: Tools for Approaching Future Communications
Alejandro Ramírez-Arroyo, Luz García, Antonio Alex‐Amor, et al.
IEEE Open Journal of the Communications Society (2022) Vol. 3, pp. 475-492
Open Access | Times Cited: 13
A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection
Tim Hermans, Laura Smets, Katrien Lemmens, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 2, pp. 026013-026013
Open Access | Times Cited: 7
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Baichuan Huang, Renato Zanetti, Azra Abtahi, et al.
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) (2023), pp. 1-5
Open Access | Times Cited: 6
An efficient epileptic seizure detection based on tunable Q-wavelet transform and DCVAE-stacked Bi-LSTM model using electroencephalogram
S. Sivasaravana Babu, V. S. Prabhu, V. Parthasarathy, et al.
The European Physical Journal Special Topics (2021) Vol. 231, Iss. 11-12, pp. 2425-2437
Closed Access | Times Cited: 15
Unsupervised feature learning based on autoencoder for epileptic seizures prediction
Peng He, Linhai Wang, Yaping Cui, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 20766-20784
Closed Access | Times Cited: 5
A new design of epileptic seizure detection using hybrid heuristic-based weighted feature selection and ensemble learning
Vedavati Bhandari, Manjaiah D. Huchaiah
International Journal of Intelligent Robotics and Applications (2022) Vol. 6, Iss. 4, pp. 668-693
Closed Access | Times Cited: 8
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