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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:

Efficient graph convolutional networks for seizure prediction using scalp EEG
Manhua Jia, Wenjian Liu, Junwei Duan, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Multiple classification of EEG signals and epileptic seizure diagnosis with combined deep learning
Muhammet Varlı, Hakan Yılmaz
Journal of Computational Science (2023) Vol. 67, pp. 101943-101943
Closed Access | Times Cited: 54
Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 19
EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification
Hnin Aung, Jiao Jiao Li, Bin Shi, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107458-107458
Open Access | Times Cited: 1
Finding Neural Biomarkers for Motor Learning and Rehabilitation using an Explainable Graph Neural Network
Jinpei Han, A. Embs, Federico Nardi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 554-565
Open Access | Times Cited: 1
Synchronization-based graph spatio-temporal attention network for seizure prediction
Jie Xiang, Yanan Li, Xubin Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG
Dezan Ji, Landi He, Xingchen Dong, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 7
A Review of Graph Theory-Based Diagnosis of Neurological Disorders Based on EEG and MRI
Ying Yan, Guanting Liu, Haoyang Cai, et al.
Neurocomputing (2024) Vol. 599, pp. 128098-128098
Closed Access | Times Cited: 6
A review of Graph Neural Networks for Electroencephalography data analysis
Manuel Graña, Igone Morais-Quilez
Neurocomputing (2023) Vol. 562, pp. 126901-126901
Open Access | Times Cited: 15
Epileptic seizures detection and the analysis of optimal seizure prediction horizon based on frequency and phase analysis
Ximiao Jiang, Xiaotong Liu, Youjun Liu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12
An End-to-End Approach for Epilepsy Detection and Prediction in Eeg Recordings Using Explainable Graph Neural Networks
Szymon Mazurek, Joan Falcó-Roget, Rosmary Blanco, et al.
(2025)
Closed Access
Tiny CNN-Based Supervised Contrastive Learning for Seizure Prediction
Yongfeng Zhang, Hailing Feng, Shuai Wang, et al.
International Journal of Neural Systems (2025)
Closed Access
Epileptic prediction using spatiotemporal information combined with optimal features strategy on EEG
Lisha Zhong, Jiangzhong Wan, Fangji Yi, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN
N. D. Qi, Yan Piao, Peng Yu, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 7, pp. 1845-1856
Closed Access | Times Cited: 7
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data
Yongfeng Zhang, Tiantian Xiao, Ziwei Wang, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 11
Closed Access | Times Cited: 7
Machine learning seizure prediction: one problematic but accepted practice
Joseph West, Zahra Dasht Bozorgi, Jeffrey A. Herron, et al.
Journal of Neural Engineering (2022) Vol. 20, Iss. 1, pp. 016008-016008
Open Access | Times Cited: 9
Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification
Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, et al.
Lecture notes in computer science (2023), pp. 258-268
Closed Access | Times Cited: 5
Decoding the Scientific Creative-Ability of Subjects Using Dual Attention Induced Graph Convolutional-Capsule Network
Sayantani Ghosh, Amit Konar
Applied Soft Computing (2024) Vol. 161, pp. 111769-111769
Closed Access | Times Cited: 1
Seizure Detection Based on EEG Signals and Deep Learning
Amira Šerifović Trbalić, Anel Hasić, Emir Skejić, et al.
(2024), pp. 1145-1150
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
Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning
Raghdah Saemaldahr, Mohammad Ilyas
Sensors (2023) Vol. 23, Iss. 14, pp. 6578-6578
Open Access | Times Cited: 2
Explainable graph neural networks for EEG classification and seizure detection in epileptic patients
Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, et al.
(2024)
Open Access
Eeg_Glt-Net: Optimising Eeg Graphs for Real-Time Motor Imagery Signals Classification
Htoo Wai Aung, Jiao Jiao Li, Bin Shi, et al.
(2024)
Open Access
Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients
Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, et al.
(2024), pp. 1-5
Open Access
Epilepsy EEG Seizure Prediction Based on the Combination of Graph Convolutional Neural Network Combined with Long- and Short-Term Memory Cell Network
Zhejun Kuang, Simin Liu, Jian Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11569-11569
Open Access
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