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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:

CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features
Ines Assali, Ahmed Ghazi Blaiech, Asma Ben Abdallah, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104519-104519
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 54
Epileptic Seizure Classification Based on Random Neural Networks Using Discrete Wavelet Transform for Electroencephalogram Signal Decomposition
Syed Yaseen Shah, Hadi Larijani, Ryan M. Gibson, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 599-599
Open Access | Times Cited: 17
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 3
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
Deep learning based automatic seizure prediction with EEG time-frequency representation
Xingchen Dong, Landi He, Haotian Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106447-106447
Closed Access | Times Cited: 6
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Nisreen Said Amer, Samir Brahim Belhaouari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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
A New Approach to Automatic Epilepsy Detection from EEG Signals Using Archimedean Spiral and Swin Transformer
Hüseyin Üzen, Hüseyin Fırat, Salih Taha Alperen, et al.
Research Square (Research Square) (2025)
Open Access
Predicting Epileptic Seizures Using EfficientNet-B0 and SVMs: A Deep Learning Methodology for EEG Analysis
Yousif Abdulsattar Saadoon, Mohamad Khalil, Dalia Battikh
Bioengineering (2025) Vol. 12, Iss. 2, pp. 109-109
Open Access
A deep learning paradigm with residual networks for enhanced epileptic seizure prediction
Bibina Vadakke Chalil, Sakthivel Vellaiswamy, Sanjay Mathilakath
AIP conference proceedings (2025) Vol. 3253, pp. 030001-030001
Closed Access
EEG detection and recognition model for epilepsy based on dual attention mechanism
Zhentao Huang, Yuyao Yang, Yahong Ma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
A glimpse ahead: Forecasting 5.5-s human vigilance for enhanced safety in Industry 5.0
Ettore Cinquetti, I. Siviero, Fabio Babiloni, et al.
Journal of Applied Biomedicine (2025) Vol. 45, Iss. 2, pp. 258-268
Closed Access
Self-supervised spatial-temporal contrastive network for EEG-based brain network classification
Changxu Dong, Dengdi Sun, Bin Luo
Neural Networks (2025), pp. 107505-107505
Closed Access
An end-to-end seizure prediction approach using long short-term memory network
Xiao Wu, Zhaohui Yang, Tinglin Zhang, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
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
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
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning
Chrisa Samara, Εleni Vrochidou, George A. Papakostas
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (2023), pp. 1-7
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
Mixture of Expert System for IESS Detection Based on EEG Signal
Wang Zong, Lijun Fu, Guang Yang, et al.
Journal of Shanghai Jiaotong University (Science) (2024)
Closed Access | Times Cited: 1
EEG-based patient-specific seizure prediction based on Spatial–Temporal Hypergraph Attention Transformer
Changxu Dong, Dengdi Sun, Zejing Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107075-107075
Closed Access | Times Cited: 1
One‐dimensional atrous conv‐net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain–computer interface applications
Palak Handa, Muskan Gupta, Esha Gupta, et al.
Expert Systems (2023) Vol. 41, Iss. 4
Closed Access | Times Cited: 3
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
Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture
Henda Boudegga, Yaroub Elloumi, Asma Ben Abdallah, et al.
(2023), pp. 471-476
Open Access | Times Cited: 2
African Vultures Based Feature Selection with Multi-modal Deep Learning for Automatic Seizure Prediction
Mounika Nallur, Mulagala Sandhya, Zabiha Khan, et al.
(2024), pp. 1-7
Closed Access
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