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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:

EEG-Based Prediction of Epileptic Seizures Using Phase Synchronization Elicited from Noise-Assisted Multivariate Empirical Mode Decomposition
Dongrae Cho, Beomjun Min, Jong‐In Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 8, pp. 1309-1318
Closed Access | Times Cited: 127

Showing 76-100 of 127 citing articles:

An efficient channel recurrent Criss-cross attention network for epileptic seizure prediction
Lei Zhu, Wentao Wang, Aiai Huang, et al.
Medical Engineering & Physics (2024) Vol. 130, pp. 104213-104213
Closed Access | Times Cited: 1
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning
Yikai Gao, Aiping Liu, Heng Cui, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109257-109257
Closed Access | Times Cited: 1
MA-EMD: Aligned empirical decomposition for multivariate time-series forecasting
Xiangjun Cai, Dagang Li, Jinglin Zhang, et al.
Expert Systems with Applications (2024), pp. 126080-126080
Closed Access | Times Cited: 1
Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning
Weizheng Qiao, Xiaojun Bi, Lu Han, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 51-51
Open Access | Times Cited: 1
Synchronization of Coupled FitzHugh–Nagumo Neurons Using Self-Feedback Time Delay
Denggui Fan, Xinle Song, Fucheng Liao
International Journal of Bifurcation and Chaos (2018) Vol. 28, Iss. 02, pp. 1850031-1850031
Closed Access | Times Cited: 12
Epileptic Seizure Prediction Based on Convolutional Recurrent Neural Network with Multi-Timescale
Lijuan Duan, Jinze Hou, Yuanhua Qiao, et al.
Lecture notes in computer science (2019), pp. 139-150
Closed Access | Times Cited: 11
An Efficient Deep Learning System for Epileptic Seizure Prediction
Ahmed Abdelhameed, Magdy Bayoumi
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2021), pp. 1-5
Closed Access | Times Cited: 10
A general sample-weighted framework for epileptic seizure prediction
Yikai Gao, Aiping Liu, Xinrui Cui, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106169-106169
Closed Access | Times Cited: 7
Comparison of Frontal-Temporal Channels in Epilepsy Seizure Prediction Based on EEMD-ReliefF and DNN
Aníbal Romney, Vidya Manian
Computers (2020) Vol. 9, Iss. 4, pp. 78-78
Open Access | Times Cited: 9
Epileptic electroencephalography classification using embedded dynamic mode decomposition
Jennifer Hellar, Negar Erfanian, Behnaam Aazhang
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 036029-036029
Open Access | Times Cited: 6
Predicting state transitions in brain dynamics through spectral difference of phase-space graphs
Patrick H. Luckett, Elena Pavelescu, Todd McDonald, et al.
Journal of Computational Neuroscience (2018) Vol. 46, Iss. 1, pp. 91-106
Closed Access | Times Cited: 9
Dynamical Features of a Focal Epileptogenic Network Model for Stimulation-Based Control
Liyuan Zhang, Qingyun Wang, Gerold Baier
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 8, pp. 1856-1865
Closed Access | Times Cited: 8
Decreased Synchronization in Alcoholics Using EEG
Rui Cao, Hongxia Deng, Zheng Wu, et al.
IRBM (2017) Vol. 38, Iss. 2, pp. 63-70
Closed Access | Times Cited: 8
A Study on Signal Complexity Measurement for Epileptic Seizure Detection
Inung Wijayanto, Rudy Hartanto, Hanung Adi Nugroho, et al.
(2019)
Closed Access | Times Cited: 7
Comparison of signal decomposition techniques for analysis of human cortical signals
Suseendrakumar Duraivel, Akshay Rao, Charles W. Lu, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 5, pp. 056014-056014
Open Access | Times Cited: 7
Detection of preictal state in epileptic seizures using ensemble classifier
Syed Muhammad Usman, Shehzad Khalid, Sohail Jabbar, et al.
Epilepsy Research (2021) Vol. 178, pp. 106818-106818
Closed Access | Times Cited: 7
[Research progress of epileptic seizure predictions based on electroencephalogram signals].
Changming Han, Fulai Peng, Cai Chen, et al.
PubMed (2021) Vol. 38, Iss. 6, pp. 1193-1202
Closed Access | Times Cited: 7
Cluster-based phase space density feature in multichannel scalp EEG for seizure prediction by deep learning
Bardia Feizbakhsh, Hesam Omranpour
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105276-105276
Closed Access | Times Cited: 2
Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures
Aymen Laifi, Emna Benmohamed, Hela Ltifi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30675-30696
Closed Access | Times Cited: 2
Temporal and spectral analyses of EEG microstate reveals neural effects of transcranial photobiomodulation on the resting brain
Nghi Cong Dung Truong, Xinlong Wang, Hanli Liu
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Using Interictal HFOs to Improve the Identification of Epileptogenic Zones in Preparation for Epilepsy Surgery
Sina Farahmand, Tiwalade Sobayo, David J. Mogul
(2018), pp. 2264-2267
Open Access | Times Cited: 5
Robust Prior Stage Epileptic Seizure Diagnosis System using Resnet and Backpropagation Techniques
N Priti
International Journal of Emerging Trends in Engineering Research (2020) Vol. 8, Iss. 5, pp. 2214-2222
Open Access | Times Cited: 4
Epileptic Activity Prediction Within Pre–ictal Epochs: Application on Selected Channels
Lyna Henaa Hasnaoui, Abdelghani Djebbari
(2022)
Closed Access | Times Cited: 3
Epilepsy seizure prediction with few-shot learning method
Jamal Nazari, Ali Motie Nasrabadi, Mohammad Bagher Menhaj, et al.
Brain Informatics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 3
EpiNET: AN OPTIMIZED, RESOURCE EFFICIENT DEEP GRU-LSTM NETWORK FOR EPILEPTIC SEIZURE PREDICTION
Deepjyoti Kalita, Shiyona Dash, Khalid B. Mirza
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 04
Closed Access

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