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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 channel-wise attention-based representation learning method for epileptic seizure detection and type classification
Asma Baghdadi, Rahma Fourati, Yassine Aribi, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 7, pp. 9403-9418
Open Access | Times Cited: 11

Showing 11 citing articles:

Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG
Elena Sibilano, Domenico Buongiorno, Michael Lassi, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3422-3433
Open Access | Times Cited: 5
Unsupervised EEG-Based Seizure Anomaly Detection with Denoising Diffusion Probabilistic Models
Jiale Wang, Mengxue Sun, Wenhui Huang
International Journal of Neural Systems (2024) Vol. 34, Iss. 09
Closed Access | Times Cited: 4
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
Automatic Detection of Abnormal EEG Signals Using WaveNet and LSTM
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Sensors (2023) Vol. 23, Iss. 13, pp. 5960-5960
Open Access | Times Cited: 11
A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task
Najwa Kouka, Rahma Fourati, Asma Baghdadi, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1268-1286
Closed Access | Times Cited: 2
End-to-end model for automatic seizure detection using supervised contrastive learning
Haotian Li, Xingchen Dong, Xiangwen Zhong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108665-108665
Closed Access | Times Cited: 2
Variational Mode Decomposition-Based Moment Fusion for the Detection of Seizure Types From the Scalp EEG Measurements
Joseph Mathew, N. Sivakumaran, P. A. Karthick
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 3
SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices
Kiran Kumar Patro, Allam Jaya Prakash, Jaya Prakash Sahoo, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 7, pp. 3810-3818
Closed Access | Times Cited: 3
Advances in welding sensing information processing and modelling technology: an overview
Amrinder Mehta, Hitesh Vasudev
Journal of Adhesion Science and Technology (2024), pp. 1-45
Closed Access
Automated Multi-class Seizure-type Classification System using EEG Signals and Machine Learning Algorithms
S. Abirami, Tikaram Tikaram, M. Kathiravan, et al.
IEEE Access (2024) Vol. 12, pp. 136524-136541
Open Access
A new fuzzy-based ensemble framework based on attention-based deep learning architectures for automated detection of abnormal EEG
Ze Yang, Shihao Li
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 12, pp. 5713-5725
Closed Access
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