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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:

A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction
Abir Affes, Afef Mdhaffar, Chahnez Triki, et al.
Lecture notes in computer science (2019), pp. 85-96
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

An Effective Dual Self-Attention Residual Network for Seizure Prediction
Xinwu Yang, Jiaqi Zhao, Qi Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1604-1613
Open Access | Times Cited: 89
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
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: 27
Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier
Banu Priya Prathaban, Рамачандран Баласубраманиан
Expert Systems with Applications (2020) Vol. 170, pp. 114533-114533
Closed Access | Times Cited: 65
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Edge deep learning for neural implants: a case study of seizure detection and prediction
Xilin Liu, Andrew G. Richardson
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046034-046034
Open Access | Times Cited: 39
Predicting Architectural Space Preferences Using EEG-Based Emotion Analysis: A CNN-LSTM Approach
Ju Eun Cho, Se Yeon Kang, Y. Hong, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4217-4217
Open Access
Automated inter-patient seizure detection using multichannel Convolutional and Recurrent Neural Networks
Jeff Craley, Emily L. Johnson, Christophe C. Jouny, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102360-102360
Closed Access | Times Cited: 37
Personalized attention-based EEG channel selection for epileptic seizure prediction
Abir Affes, Afef Mdhaffar, Chahnez Triki, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117733-117733
Closed Access | Times Cited: 21
Residual and bidirectional LSTM for epileptic seizure detection
Wei Zhao, Wenfeng Wang, L.M. Patnaik, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
RNN and BiLSTM Fusion for Accurate Automatic Epileptic Seizure Diagnosis Using EEG Signals
Nagwan Abdel Samee, Noha F. Mahmoud, Eman Aldhahri, et al.
Life (2022) Vol. 12, Iss. 12, pp. 1946-1946
Open Access | Times Cited: 17
Scattering convolutional network based predictive model for cognitive activity of brain using empirical wavelet decomposition
Lakshmi Priya B., S. Jayalakshmy, Jayanthi K. Pragatheeswaran, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102501-102501
Closed Access | Times Cited: 17
Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction
Rihat Rahman, Shiva Maleki Varnosfaderani, Omar Makke, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2021), pp. 1-5
Closed Access | Times Cited: 16
ForeSeiz: An IoMT based headband for Real-time epileptic seizure forecasting
Banu Priya Prathaban, Рамачандран Баласубраманиан, R. Kalpana
Expert Systems with Applications (2021) Vol. 188, pp. 116083-116083
Closed Access | Times Cited: 16
An effective fusion model for seizure prediction: GAMRNN
Hong Ji, Ting Xu, Tao Xue, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Combining temporal and spatial attention for seizure prediction
Yao Wang, Yufei Shi, Zhipeng He, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 4
An Efficient Epilepsy Prediction Model on European Dataset With Model Evaluation Considering Seizure Types
Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5842-5854
Closed Access | Times Cited: 1
EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF
Raghad Alqirshi, Samir Brahim Belhaouari
Communications in computer and information science (2024), pp. 351-366
Closed Access | Times Cited: 1
EPViz: A flexible and lightweight visualizer to facilitate predictive modeling for multi-channel EEG
Danielle Currey, Jeff Craley, David Hsu, et al.
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0282268-e0282268
Open Access | Times Cited: 3
Event-Based Epileptic Seizure Detection with Stacked Convolutional Restricted Boltzmann Machine
K. Visalini, Saravanan Alagarsamy, D. Nagarajan
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 4880-4889
Closed Access | Times Cited: 3
Trends and Challenges of Processing Measurements from Wearable Devices Intended for Epileptic Seizure Prediction
Yankun Xu, Jie Yang, Mohamad Sawan
Journal of Signal Processing Systems (2021) Vol. 94, Iss. 6, pp. 527-542
Closed Access | Times Cited: 6
Preictal onset detection through unsupervised clustering for epileptic seizure prediction
Alessio Quercia, Thomas W. Frick, Fabian E. Egli, et al.
(2021) Vol. 40, pp. 142-147
Closed Access | Times Cited: 5
Automatic Detection of Epilepsy Using CNN-GRU Hybrid Model
S. Pravin Kumar, J. Ramachandran, N. K. Narayanan, et al.
Springer eBooks (2022), pp. 165-186
Closed Access | Times Cited: 3
Performance Evaluation of Epilepsy Prediction Model Based on Seizure’ Type and Patients' Characteristics
Shiva Maleki Varnosfaderani, Nabil J. Sarhan, Mohammad Alhawari
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) (2024) Vol. abs/1707.01976, pp. 1446-1450
Closed Access
Anchoring temporal convolutional networks for epileptic seizure prediction
S.P. Venu Madhava Rao, Miaomiao Liu, Yin Huang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 6, pp. 066008-066008
Closed Access
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