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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 deep learning framework for epileptic seizure detection based on neonatal EEG signals
Artur Gramacki, J. Gramacki
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
Shu Lih Oh, Jahmunah Vicnesh, Elizabeth E. Palmer, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107312-107312
Open Access | Times Cited: 35
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
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: 8
Deep-learning-based intelligent neonatal seizure identification using spatial and spectral GNN optimized with the Aquila algorithm
Madhusundar Nelson, Surendran Rajendran, Osamah Ibrahim Khalaf, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 7, pp. 19645-19669
Open Access | Times Cited: 8
Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist
Wesley T. Kerr, Katherine N. McFarlane
Current Neurology and Neuroscience Reports (2023) Vol. 23, Iss. 12, pp. 869-879
Closed Access | Times Cited: 16
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
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
EARLY WARNING PREDICTION WITH AUTOMATIC LABELLING IN EPILEPSY PATIENTS
Peng Zhang, Ting Gao, Jun Guo, et al.
The ANZIAM Journal (2025), pp. 1-16
Closed Access
MAFBN: Multi-Attention Forward and Backward network to predict epileptic seizure
Tawfeeq Shawly, Ahmed A. Alsheikhy, Yahia Said, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107574-107574
Closed Access
Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data
Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
EEG Signal Classification Using Linear Process Model-Based Feature Extraction and Supervised Learning
Artur Zaporozhets, Yurii Kuts, Bogdana Mlynko, et al.
Studies in systems, decision and control (2025), pp. 235-257
Closed Access
Epilepsy detection based on multi-head self-attention mechanism
Yandong Ru, Gaoyang An, Zheng Wei, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305166-e0305166
Open Access | Times Cited: 4
A Modified Aquila-Based Optimized XGBoost Framework for Detecting Probable Seizure Status in Neonates
Khondoker Mirazul Mumenin, Prapti Biswas, Md. Al-Masrur Khan, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7037-7037
Open Access | Times Cited: 11
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Arya Tandy Hermawan, Ilham Ari Elbaith Zaeni, Aji Prasetya Wibawa, et al.
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 187-204
Open Access | Times Cited: 3
SeizureLSTM: An optimal attention-based trans-LSTM network for epileptic seizure detection using optimal weighted feature integration
Zhisen He, Jing Yang, Roobaea Alroobaea, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106603-106603
Closed 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
SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables
Irfan Al-Hussaini, Cassie S. Mitchell
Bioengineering (2023) Vol. 10, Iss. 8, pp. 918-918
Open Access | Times Cited: 9
LMA-EEGNet: A Lightweight Multi-Attention Network for Neonatal Seizure Detection Using EEG signals
Weicheng Zhou, Wei Zheng, Youbing Feng, et al.
Electronics (2024) Vol. 13, Iss. 12, pp. 2354-2354
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
A novel SVMA and K-NN classifier based optical ML technique for seizure detection
N. Deepa, R. Naresh, S. Anitha, et al.
Optical and Quantum Electronics (2023) Vol. 55, Iss. 12
Closed Access | Times Cited: 7
A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification
Vinod Prakash, Dharmender Kumar
Journal of Information and Communication Technology (2023) Vol. 22, Iss. 4, pp. 587-617
Open Access | Times Cited: 6
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
Artificial intelligence for brain disease diagnosis using electroencephalogram signals
Shunuo Shang, Yingqian Shi, Yajie Zhang, et al.
Journal of Zhejiang University SCIENCE B (2024) Vol. 25, Iss. 10, pp. 914-940
Closed Access | Times Cited: 1
Long-Term Home EEG Recording: Wearable and Implantable Devices
Mahnoor Rehman, Lindsay M. Higdon, Michael R. Sperling
Journal of Clinical Neurophysiology (2023) Vol. 41, Iss. 3, pp. 200-206
Closed Access | Times Cited: 4
Deep Learning for Generalized EEG Seizure Detection after Hypoxia–Ischemia—Preclinical Validation
Hamid Abbasi, Joanne O. Davidson, Simerdeep K. Dhillon, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 217-217
Open Access | Times Cited: 1
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