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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:

SeizureNet: a model for robust detection of epileptic seizures based on convolutional neural network
Wei Zhao, Wenfeng Wang
Cognitive Computation and Systems (2020) Vol. 2, Iss. 3, pp. 119-124
Open Access | Times Cited: 20

Showing 20 citing articles:

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
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
A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
Shalini Shanmugam, D. Selvathi
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20605-20617
Closed Access | Times Cited: 28
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107484-107484
Open Access | Times Cited: 1
A combination of statistical parameters for epileptic seizure detection and classification using VMD and NLTWSVM
Shang Zhang, Guangda Liu, Ruolan Xiao, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 258-272
Closed Access | Times Cited: 31
Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals
Aura Hernàndez-Sabaté, José Yauri, Pau Folch, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2298-2298
Open Access | Times Cited: 26
Residual and bidirectional LSTM for epileptic seizure detection
Wei Zhao, Wenfeng Wang, L.M. Patnaik, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Modeling of seizure and seizure-free EEG signals based on stochastic differential equations
Mahnoosh Tajmirriahi, Zahra Amini
Chaos Solitons & Fractals (2021) Vol. 150, pp. 111104-111104
Closed Access | Times Cited: 24
Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition
Susanta Kumar Rout, Mrutyunjaya Sahani, P.K. Dash, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104299-104299
Closed Access | Times Cited: 18
DWTA-Unet: Concrete Crack Segmentation Based on Discrete Wavelet Transform and Unet
Guiyi Yang, Peng Geng, Hongtao Ma, et al.
Lecture notes in electrical engineering (2021), pp. 702-710
Closed Access | Times Cited: 12
Time-Series Generative Adversarial Network Approach of Deep Learning Improves Seizure Detection From the Human Thalamic SEEG
Bhargava Ganti, Ganne Chaitanya, R. Balamurugan, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 8
Seizure Detection Based on EEG Signals and Deep Learning
Amira Šerifović Trbalić, Anel Hasić, Emir Skejić, et al.
(2024), pp. 1145-1150
Closed Access | Times Cited: 1
Automatic epileptic seizure detection based on EEG using a moth-flame optimization of one-dimensional convolutional neural networks
Baozeng Wang, Xingyi Yang, Siwei Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
Enhanced Gradient Boosting Machines Fusion based on the Pattern of Majority Voting for Automatic Epilepsy Detection
Dwi Sunaryono, Riyanarto Sarno, Joko Siswantoro, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 4
An Efficient Approach for EEG Seizure Detection using CNN with Feature Extraction
Liya Joseph, Sminu Izudheen, Uma Narayanana, et al.
(2024) Vol. 36, pp. 1924-1929
Closed Access
Identification of Epileptic Seizures Utilising a Computationally Powerful Spiking Neuron
Irshed Hussain, Dalton Meitei Thounaojam
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Unsupervised Learning for Wafer Surface Defect Pattern Recognition
Sheng Geng, Huaping Liu, Feng Wang, et al.
Lecture notes in electrical engineering (2021), pp. 275-285
Closed Access | Times Cited: 3
Support Vector Machine of Particle Swarm Optimization For Motor Imagery Recognition using Feature Fusion
Jincai Zhang, Mei Wang, Yuancheng Li
(2021), pp. 51-57
Closed Access | Times Cited: 2
Detection of Epileptic Seizures from EEG Signals Using Machine Learning Classifiers
Avijit Dey Joy, Sraboni Sarkar, Abul Kalam Azad
Bangladesh Journal of Medical Physics (2022) Vol. 15, Iss. 1, pp. 28-42
Open Access
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