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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 Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection
Khadijeh Raeisi, Mohammad Khazaei, Gabriella Tamburro, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 09
Open Access | Times Cited: 21

Showing 21 citing articles:

Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare
Han Yuan, Kunyu Yu, Feng Xie, et al.
Medicine Advances (2024) Vol. 2, Iss. 3, pp. 205-237
Open Access | Times Cited: 8
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals
Andrea V. Perez-Sanchez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105659-105659
Closed Access | Times Cited: 20
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection
Yuxia Wang, Shasha Yuan, Jin‐Xing Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed 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
Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG
R. C. Hogan, Sean Mathieson, Aurel Luca, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model
Xingchen Dong, Yiming Wen, Dezan Ji, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 03
Closed Access | Times Cited: 12
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107484-107484
Open Access
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks
Rong Li, Jiyi Li, Chong Wang, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 04
Open Access | Times Cited: 3
TATPat based explainable EEG model for neonatal seizure detection
Türker Tuncer, Şengül Doğan, İrem Taşçı, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance
Wenhao Lu, Wei Wang, Xuefei Qin, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2064-2064
Open Access | Times Cited: 2
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
R. C. Hogan, Sean Mathieson, Aurel Luca, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach
Mosab A. A. Yousif, Mahmut Öztürk
International Journal of Neural Systems (2023) Vol. 33, Iss. 12
Closed Access | Times Cited: 4
A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks
Hangyu Zhu, Yan Xu, Yonglin Wu, et al.
International Journal of Neural Systems (2023) Vol. 34, Iss. 03
Closed Access | Times Cited: 4
A spatio-temporal fusion deep learning network with application to lightning nowcasting
Changhai Zhou, Ling Fan, Ferrante Neri
Integrated Computer-Aided Engineering (2024) Vol. 31, Iss. 3, pp. 233-247
Open Access | Times Cited: 1
Attention-guided graph structure learning network for EEG-enabled auditory attention detection
Xianzhang Zeng, Siqi Cai, Longhan Xie
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036025-036025
Closed Access | Times Cited: 1
Automatic Classification Framework for Neonatal Seizure Using Wavelet Scattering Transform and Nearest Component Analysis
Vipin Prakash Yadav, Kamlesh Kumar Sharma
IRBM (2024) Vol. 45, Iss. 4, pp. 100842-100842
Closed Access | Times Cited: 1
Efficient EEG feature learning model combining random convolutional kernel with wavelet scattering for seizure detection
Yasheng Liu, Yong‐hui Jiang, Jie Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 11
Closed Access | Times Cited: 1
Improving the performance of deep learning models in predicting and classifying gamma passing rates with discriminative features and a class balancing technique: a retrospective cohort study
Wei Song, Wen Shang, Chunying Li, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access
Analysis of the impact of deep learning know-how and data in modelling neonatal EEG
Aengus Daly, Gordon Lightbody, Andriy Temko
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Novel State Space Model with Dynamic Graphic Neural Network for EEG Event Detection
LI Xin-ying, Shengjie Yan, Yonglin Wu, et al.
International Journal of Neural Systems (2024) Vol. 35, Iss. 03
Closed Access
A Graph-Based Neural Approach to Linear Sum Assignment Problems
Carlo Aironi, Samuele Cornell, Stefano Squartini
International Journal of Neural Systems (2023) Vol. 34, Iss. 03
Open Access | Times Cited: 1
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