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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:

Interpreting deep learning models for epileptic seizure detection on EEG signals
Valentin Gabeff, Tomás Teijeiro, Marina Zapater, et al.
Artificial Intelligence in Medicine (2021) Vol. 117, pp. 102084-102084
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Xuanjie Qiu, Fang Yan, Haihong Liu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104652-104652
Closed Access | Times Cited: 62
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 668-668
Open Access | Times Cited: 66
Deep learning for predicting respiratory rate from biosignals
Amit Kumar, M. Ritam, Lina Han, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105338-105338
Closed Access | Times Cited: 64
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: 58
A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 56
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 53
Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine Learning
Alina Jade Barnett, Zhicheng Guo, Jin Jing, et al.
NEJM AI (2024) Vol. 1, Iss. 6
Open Access | Times Cited: 11
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 11
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 | Times Cited: 1
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
Neural Computing and Applications (2022) Vol. 35, Iss. 14, pp. 10051-10068
Open Access | Times Cited: 34
An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth
Akshay Sujatha Ravindran, José L. Contreras-Vidal
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 6
Patient-specific method of sleep electroencephalography using wavelet packet transform and Bi-LSTM for epileptic seizure prediction
Chenchen Cheng, Bo You, Yan Liu, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102963-102963
Closed Access | Times Cited: 31
A multi-dimensional hybrid CNN-BiLSTM framework for epileptic seizure detection using electroencephalogram signal scrutiny
Aravind Britto K.R, Saravanan Srinivasan, Sandeep Kumar Mathivanan, et al.
Systems and Soft Computing (2023) Vol. 5, pp. 200062-200062
Open Access | Times Cited: 11
Combining general and personal models for epilepsy detection with hyperdimensional computing
Una Pale, Tomás Teijeiro, Sylvain Rheims, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102754-102754
Open Access | Times Cited: 4
An explainable hybrid DNN model for seizure vs. Non-seizure classification and seizure localization using multi-dimensional EEG signals
Ghita Amrani, Amina Adadi, Mohammed Berrada
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106322-106322
Closed Access | Times Cited: 4
Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection
Rafik Djemili, Ilyes Djemili
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 15, pp. 2091-2110
Closed Access | Times Cited: 10
High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems
Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, et al.
BioMedInformatics (2025) Vol. 5, Iss. 1, pp. 14-14
Open Access
A comprehensive evaluation of interpretable artificial intelligence for epileptic seizure diagnosis using an electroencephalogram: A systematic review
Daraje Kaba Gurmessa, Worku Jimma
Digital Health (2025) Vol. 11
Open Access
Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals
Rosanna Ferrara, M Giaquinto, Gennaro Percannella, et al.
Sensors (2025) Vol. 25, Iss. 9, pp. 2715-2715
Open Access
Explainable artificial intelligence in epilepsy management: Unveiling the model interpretability
Najmusseher Najmusseher, P. K. Nizar Banu, Ahmad Taher Azar, et al.
Elsevier eBooks (2025), pp. 175-211
Closed Access
Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm
Mosleh Hmoud Al-Adhaileh, Sultan Ahmad, Alhasan Alharbi, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
The performance evaluation of the state-of-the-art EEG-based seizure prediction models
Zhe Ren, Xiong Han, Bin Wang
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 15
Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach
Yauhen Statsenko, Vladimir Babushkin, Tatsiana Talako, et al.
Biomedicines (2023) Vol. 11, Iss. 9, pp. 2370-2370
Open Access | Times Cited: 9
Single-channel seizure detection with clinical confirmation of seizure locations using CHB-MIT dataset
Yoon Gi Chung, Anna Cho, Hunmin Kim, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 3
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