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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:

Automatic Seizure Detection using Fully Convolutional Nested LSTM
Yang Li, Zuyi Yu, Yang Chen, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 04, pp. 2050019-2050019
Closed Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Self-Supervised Learning for Electroencephalography
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 1457-1471
Closed Access | Times Cited: 171
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103417-103417
Open Access | Times Cited: 121
Epileptic Seizure Detection Based on Path Signature and Bi-LSTM Network With Attention Mechanism
Yixuan Tang, Qianyi Wu, Haifeng Mao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 304-313
Open Access | Times Cited: 18
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks
Yu Xue, Pengcheng Jiang, Ferrante Neri, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 09, pp. 2150035-2150035
Open Access | Times Cited: 95
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning
Mehmet Akif Özdemir, Özlem Karabiber Cura, Aydın Akan
International Journal of Neural Systems (2021) Vol. 31, Iss. 08, pp. 2150026-2150026
Closed Access | Times Cited: 72
EEG-Based Seizure detection using linear graph convolution network with focal loss
Yanna Zhao, Changxu Dong, Gaobo Zhang, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106277-106277
Closed Access | Times Cited: 70
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
Manuel J. Rivera, Miguel A. Teruel, Alejandro Maté, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1209-1251
Closed Access | Times Cited: 68
Epileptic Seizure Prediction Using Deep Transformer Model
Abhijeet Bhattacharya, Tanmay Baweja, Sri Phani Krishna Karri
International Journal of Neural Systems (2021) Vol. 32, Iss. 02
Closed Access | Times Cited: 62
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: 58
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
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: 49
A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
Shalini Shanmugam, D. Selvathi
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20605-20617
Closed Access | Times Cited: 28
Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet
Xiaopeng Si, He Huang, Jiayue Yu, et al.
Cyborg and Bionic Systems (2023) Vol. 4
Open Access | Times Cited: 24
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease
Pattaramon Vuttipittayamongkol, Eyad Elyan
International Journal of Neural Systems (2020) Vol. 30, Iss. 08, pp. 2050043-2050043
Open Access | Times Cited: 67
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
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power
Peizhen Peng, Liping Xie, Haikun Wei
International Journal of Neural Systems (2021) Vol. 31, Iss. 08, pp. 2150022-2150022
Closed Access | Times Cited: 46
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals
Yanna Zhao, Gaobo Zhang, Changxu Dong, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 07, pp. 2150027-2150027
Closed Access | Times Cited: 41
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
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion
Zuyi Yu, Laurent Albera, Régine Le Bouquin Jeannès, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 07
Closed Access | Times Cited: 37
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: 37
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
Neural Computing and Applications (2022) Vol. 35, Iss. 14, pp. 10051-10068
Open Access | Times Cited: 34
Hierarchical Harris hawks optimization for epileptic seizure classification
Zhenzhen Luo, Shan Jin, Zuoyong Li, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105397-105397
Closed Access | Times Cited: 29
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum
Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, et al.
Expert Systems (2023)
Closed Access | Times Cited: 21
Cosine convolutional neural network and its application for seizure detection
Guoyang Liu, Tian Lan, Yiming Wen, et al.
Neural Networks (2024) Vol. 174, pp. 106267-106267
Closed Access | Times Cited: 8
An Overview of EEG-based Machine Learning Methods in Seizure Prediction and Opportunities for Neurologists in this Field
Buajieerguli Maimaiti, Hongmei Meng, Yudan Lv, et al.
Neuroscience (2021) Vol. 481, pp. 197-218
Closed Access | Times Cited: 34
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