
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:
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
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
Showing 1-25 of 229 citing articles:
Data augmentation for deep-learning-based electroencephalography
Elnaz Lashgari, Dehua Liang, Uri Maoz
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108885-108885
Open Access | Times Cited: 275
Elnaz Lashgari, Dehua Liang, Uri Maoz
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108885-108885
Open Access | Times Cited: 275
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 9377-9388
Open Access | Times Cited: 119
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 9377-9388
Open Access | Times Cited: 119
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction
Yang Li, Yu Liu, Yuzhu Guo, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 11, pp. 12189-12204
Closed Access | Times Cited: 109
Yang Li, Yu Liu, Yuzhu Guo, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 11, pp. 12189-12204
Closed Access | Times Cited: 109
Optimizing epileptic seizure recognition performance with feature scaling and dropout layers
Ahmed Omar, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2835-2852
Open Access | Times Cited: 70
Ahmed Omar, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2835-2852
Open Access | Times Cited: 70
Deep learning based efficient epileptic seizure prediction with EEG channel optimization
Ranjan Jana, Imon Mukherjee
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102767-102767
Closed Access | Times Cited: 95
Ranjan Jana, Imon Mukherjee
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102767-102767
Closed Access | Times Cited: 95
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection
Punnawish Thuwajit, Phurin Rangpong, Phattarapong Sawangjai, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5547-5557
Closed Access | Times Cited: 87
Punnawish Thuwajit, Phurin Rangpong, Phattarapong Sawangjai, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5547-5557
Closed Access | Times Cited: 87
Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG
Gang Wang, Dong Wang, Changwang Du, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2711-2720
Open Access | Times Cited: 84
Gang Wang, Dong Wang, Changwang Du, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2711-2720
Open Access | Times Cited: 84
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 527-538
Open Access | Times Cited: 71
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 2, pp. 527-538
Open Access | Times Cited: 71
Semi-dilated convolutional neural networks for epileptic seizure prediction
Ramy Hussein, Soojin Lee, Rabab Ward, et al.
Neural Networks (2021) Vol. 139, pp. 212-222
Closed Access | Times Cited: 60
Ramy Hussein, Soojin Lee, Rabab Ward, et al.
Neural Networks (2021) Vol. 139, pp. 212-222
Closed Access | Times Cited: 60
Seizure Prediction in EEG Signals Using STFT and Domain Adaptation
Peizhen Peng, Yang Song, Yang Lü, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 57
Peizhen Peng, Yang Song, Yang Lü, et al.
Frontiers in Neuroscience (2022) Vol. 15
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
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 Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Khansa Rasheed, Junaid Qadir, Terence J. O’Brien, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2322-2332
Open Access | Times Cited: 55
Khansa Rasheed, Junaid Qadir, Terence J. O’Brien, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2322-2332
Open Access | Times Cited: 55
EEG-based seizure prediction via Transformer guided CNN
Chang Li, Xiaoyang Huang, Rencheng Song, et al.
Measurement (2022) Vol. 203, pp. 111948-111948
Closed Access | Times Cited: 53
Chang Li, Xiaoyang Huang, Rencheng Song, et al.
Measurement (2022) Vol. 203, pp. 111948-111948
Closed Access | Times Cited: 53
Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network With Dilated Convolutions
Yikai Gao, Xun Chen, Aiping Liu, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-9
Open Access | Times Cited: 48
Yikai Gao, Xun Chen, Aiping Liu, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-9
Open Access | Times Cited: 48
Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning
Yuchang Zhao, Chang Li, Xiang Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1536-1547
Open Access | Times Cited: 48
Yuchang Zhao, Chang Li, Xiang Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1536-1547
Open Access | Times Cited: 48
Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble
Yao Guo, Xinyu Jiang, Linkai Tao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 915-924
Open Access | Times Cited: 47
Yao Guo, Xinyu Jiang, Linkai Tao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 915-924
Open Access | Times Cited: 47
An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data
Imene Jemal, Neila Mezghani, Lina Abou-Abbas, et al.
IEEE Access (2022) Vol. 10, pp. 60141-60150
Open Access | Times Cited: 39
Imene Jemal, Neila Mezghani, Lina Abou-Abbas, et al.
IEEE Access (2022) Vol. 10, pp. 60141-60150
Open Access | Times Cited: 39
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 38
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 38
Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model
Shuaicong Hu, Jian Liu, Rui Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1321-1332
Open Access | Times Cited: 36
Shuaicong Hu, Jian Liu, Rui Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1321-1332
Open Access | Times Cited: 36
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction
Xin Ding, Weiwei Nie, Xinyu Liu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 03
Closed Access | Times Cited: 26
Xin Ding, Weiwei Nie, Xinyu Liu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 03
Closed Access | Times Cited: 26
Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review
Swati Rajwal, Swati Aggarwal
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3585-3615
Closed Access | Times Cited: 22
Swati Rajwal, Swati Aggarwal
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3585-3615
Closed Access | Times Cited: 22
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning
Zhiwei Deng, Chang Li, Rencheng Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106401-106401
Closed Access | Times Cited: 22
Zhiwei Deng, Chang Li, Rencheng Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106401-106401
Closed Access | Times Cited: 22
Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance
Zhuozheng Shi, Zhiqiang Liao, Hitoshi Tabata
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4228-4239
Closed Access | Times Cited: 22
Zhuozheng Shi, Zhiqiang Liao, Hitoshi Tabata
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4228-4239
Closed Access | Times Cited: 22
Wavelet Domain Optimized Savitzky–Golay Filter for the Removal of Motion Artifacts From EEG Recordings
Pranjali Gajbhiye, Nopparada Mingchinda, Wei Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 53
Pranjali Gajbhiye, Nopparada Mingchinda, Wei Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 53