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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:

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: 146

Showing 1-25 of 146 citing articles:

Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network
Yuan Zhang, Yao Guo, Po Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 465-474
Open Access | Times Cited: 229
Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network
Yang Li, Yü Liu, Weigang Cui, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 4, pp. 782-794
Closed Access | Times Cited: 210
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
A Temporal-Spectral-Based Squeeze-and- Excitation Feature Fusion Network for Motor Imagery EEG Decoding
Yang Li, Lianghui Guo, Yu Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1534-1545
Open Access | Times Cited: 107
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach
Yang Li, Wei-Gang Cui, Hui Huang, et al.
Knowledge-Based Systems (2018) Vol. 164, pp. 96-106
Closed Access | Times Cited: 138
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
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
Rijad Sarić, Dejan Jokić, Nejra Beganović, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102106-102106
Closed Access | Times Cited: 115
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
Epileptic Signal Classification With Deep EEG Features by Stacked CNNs
Jiuwen Cao, Jiahua Zhu, Wenbin Hu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2019) Vol. 12, Iss. 4, pp. 709-722
Closed Access | Times Cited: 86
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
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103138-103138
Closed Access | Times Cited: 65
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture
Erdem Tuncer, Emine Doğru Bolat
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103462-103462
Closed Access | Times Cited: 61
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: 57
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
Optimization of epilepsy detection method based on dynamic EEG channel screening
Yuebin Song, Chunling Fan, Xiaoqian Mao
Neural Networks (2024) Vol. 172, pp. 106119-106119
Closed Access | Times Cited: 9
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
Yang Li, Jingyu Liu, Xinqiang Gao, et al.
Medical Image Analysis (2018) Vol. 52, pp. 80-96
Closed Access | Times Cited: 78
Deep Classification of Epileptic Signals
David Ahmedt‐Aristizabal, Clinton Fookes, Kien Nguyen, et al.
(2018), pp. 332-335
Open Access | Times Cited: 65
Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and Hidden Markov Model
Deba Prasad Dash, Maheshkumar H. Kolekar, Kamlesh Jha
Computers in Biology and Medicine (2019) Vol. 116, pp. 103571-103571
Closed Access | Times Cited: 62
EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function
Ziwu Ren, Rihui Li, Bin Chen, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 46
Continuous Seizure Detection Based on Transformer and Long-Term iEEG
Yulin Sun, Weipeng Jin, Xiaopeng Si, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5418-5427
Closed Access | Times Cited: 35
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
Epileptic seizure detection on a compressed EEG signal using energy measurement
Inung Wijayanto, Annisa Humairani, Sugondo Hadiyoso, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104872-104872
Closed Access | Times Cited: 20
Hybrid Approach for Classification of Electroencephalographic Signals Using Time–Frequency Images With Wavelets and Texture Features
N. J. Sairamya, L. Susmitha, S. Thomas George, et al.
Elsevier eBooks (2019), pp. 253-273
Closed Access | Times Cited: 48
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: 45
A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network
Behnaz Akbarian, Abbas Erfanian
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101878-101878
Closed Access | Times Cited: 43
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