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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:

Hilbert marginal spectrum analysis for automatic seizure detection in EEG signals
Kai Fu, Jianfeng Qu, Yi Chai, et al.
Biomedical Signal Processing and Control (2015) Vol. 18, pp. 179-185
Closed Access | Times Cited: 158

Showing 1-25 of 158 citing articles:

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
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Yudong Cao, Yifei Ding, Minping Jia, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107813-107813
Closed Access | Times Cited: 236
Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan
Biomedical Signal Processing and Control (2016) Vol. 29, pp. 11-21
Closed Access | Times Cited: 212
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: 211
Automatic identification of epileptic seizures from EEG signals using linear programming boosting
Ahnaf Rashik Hassan, Abdülhamit Subaşı
Computer Methods and Programs in Biomedicine (2016) Vol. 136, pp. 65-77
Closed Access | Times Cited: 176
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
Epileptic seizure identification using entropy of FBSE based EEG rhythms
Vipin Gupta, Ram Bilas Pachori
Biomedical Signal Processing and Control (2019) Vol. 53, pp. 101569-101569
Closed Access | Times Cited: 145
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
Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble
Mingyang Li, Wanzhong Chen, Tao Zhang
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 357-365
Closed Access | Times Cited: 164
Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG
Zhongke Gao, Qing Cai, Yuxuan Yang, et al.
International Journal of Neural Systems (2016) Vol. 27, Iss. 04, pp. 1750005-1750005
Closed Access | Times Cited: 162
AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier
Tao Zhang, Wanzhong Chen, Mingyang Li
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 550-559
Closed Access | Times Cited: 151
Epileptic Seizure Classification of EEGs Using Time–Frequency Analysis Based Multiscale Radial Basis Functions
Yang Li, Xudong Wang, Mei-Lin Luo, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 2, pp. 386-397
Closed Access | Times Cited: 148
Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise
Ahnaf Rashik Hassan, Abdülhamit Subaşı, Yanchun Zhang
Knowledge-Based Systems (2019) Vol. 191, pp. 105333-105333
Closed Access | Times Cited: 130
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
B. Boashash, Samir Ouelha
Knowledge-Based Systems (2016) Vol. 106, pp. 38-50
Closed Access | Times Cited: 119
Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization
Xiashuang Wang, Guanghong Gong, Ni Li, et al.
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 101
A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition
Abhijit Bhattacharyya, Rajesh Kumar Tripathy, Lalit Garg, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 3, pp. 3579-3591
Closed Access | Times Cited: 98
Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
Ozan Kocadağlı, Reza Langari
Expert Systems with Applications (2017) Vol. 88, pp. 419-434
Closed Access | Times Cited: 97
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
Epileptic Seizure Prediction Based on Permutation Entropy
Yanli Yang, Mengni Zhou, Yan Niu, et al.
Frontiers in Computational Neuroscience (2018) Vol. 12
Open Access | Times Cited: 84
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
Personalized Real-Time Federated Learning for Epileptic Seizure Detection
Saleh Baghersalimi, Tomás Teijeiro, David Atienza, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 898-909
Open Access | Times Cited: 63
Automatic Diagnosis of Epileptic Seizure in Electroencephalography Signals Using Nonlinear Dynamics Features
Shanen Chen, Xi Zhang, Lili Chen, et al.
IEEE Access (2019) Vol. 7, pp. 61046-61056
Open Access | Times Cited: 69
Automated Recognition of Epileptic EEG States Using a Combination of Symlet Wavelet Processing, Gradient Boosting Machine, and Grid Search Optimizer
Xiashuang Wang, Guanghong Gong, Ni Li
Sensors (2019) Vol. 19, Iss. 2, pp. 219-219
Open Access | Times Cited: 68
Wavelet based deep learning approach for epilepsy detection
Rohan Akut
Health Information Science and Systems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 66
Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking
Md. Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Anindya Bijoy Das
Biomedical Signal Processing and Control (2019) Vol. 50, pp. 72-82
Closed Access | Times Cited: 61
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