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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:

An efficient error-minimized random vector functional link network for epileptic seizure classification using VMD
Susanta Kumar Rout, Pradyut Kumar Biswal
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101787-101787
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals
Asghar Zarei, Babak Mohammadzadeh Asl
Computers in Biology and Medicine (2021) Vol. 131, pp. 104250-104250
Closed Access | Times Cited: 110
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: 131
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7710-7710
Open Access | Times Cited: 60
Time–frequency signal processing: Today and future
Aydın Akan, Özlem Karabiber Cura
Digital Signal Processing (2021) Vol. 119, pp. 103216-103216
Closed Access | Times Cited: 55
Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis
Deba Prasad Dash, Maheshkumar H. Kolekar, Chinmay Chakraborty, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-29
Open Access | Times Cited: 27
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: 27
Implementation of a non-linear SVM classification for seizure EEG signal analysis on FPGA
Shalini Shanmugam, D. Selvathi
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107826-107826
Closed Access | Times Cited: 6
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Nisreen Said Amer, Samir Brahim Belhaouari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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: 32
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
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: 28
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification
Barenya Bikash Hazarika, Deepak Gupta
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106622-106622
Closed Access | Times Cited: 22
Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals
Xiang Liu, Juan Wang, Junliang Shang, et al.
Brain Sciences (2022) Vol. 12, Iss. 10, pp. 1275-1275
Open Access | Times Cited: 21
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures
Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104798-104798
Closed Access | Times Cited: 11
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 4
Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection
Rafik Djemili, Ilyes Djemili
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 15, pp. 2091-2110
Closed Access | Times Cited: 10
Developing a two stage optimized random vector functional link neural network based predictor model utilizing a swift crow search algorithm
Sidharth Samal, Rajashree Dash
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
An area and power efficient VLSI architecture for epileptic seizure detection using Transpose Form Retimed Delayed LMS filter and Spiking Neural Networks
Venugopal Ponnuraj, S. Thangavelu, Bagirathan Kaliyamurthi
Integration (2025), pp. 102433-102433
Closed Access
An intelligent epilepsy seizure detection system using adaptive mode decomposition of EEG signals
Gulshan Kumar, Subhash Chander, Ahmad Almadhor
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 1, pp. 261-272
Closed Access | Times Cited: 16
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
Multiscale Transfer Spectral Entropy for Quantifying Corticomuscular Interaction
Jinbiao Liu, Gansheng Tan, Yixuan Sheng, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 6, pp. 2281-2292
Closed Access | Times Cited: 18
Optimized adaptive neuro fuzzy inference system (OANFIS) based EEG signal analysis for seizure recognition on FPGA
B. Indira Priyadarshini, Reddy D. Krishna
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102484-102484
Closed Access | Times Cited: 15
Variational mode decomposition-based seizure classification using Bayesian regularized shallow neural network
Vipin Prakash Yadav, Kamlesh Kumar Sharma
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 402-418
Closed Access | Times Cited: 15
Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network
Xiao Wu, Tinglin Zhang, Limei Zhang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 11
Extended Features Based Random Vector Functional Link Network for Classification Problem
A. K. Malik, M. A. Ganaie, M. Tanveer, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 4, pp. 4744-4753
Closed Access | Times Cited: 10
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