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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:

Minireview of Epilepsy Detection Techniques Based on Electroencephalogram Signals
Guangda Liu, Ruolan Xiao, Lanyu Xu, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 56
Artificial intelligence in epilepsy — applications and pathways to the clinic
Alfredo Lucas, Andrew Y. Revell, Kathryn A. Davis
Nature Reviews Neurology (2024) Vol. 20, Iss. 6, pp. 319-336
Closed Access | Times Cited: 14
Patient-specific method for predicting epileptic seizures based on DRSN-GRU
Xin Xu, Yin Zhang, Ruhao Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104449-104449
Open Access | Times Cited: 23
A Novel Prognostic Model Using Chaotic CNN with Hybridized Spoofing for Enhancing Diagnostic Accuracy in Epileptic Seizure Prediction
Preethi Palanisamy, Shabana Urooj, Rajesh Arunachalam, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3382-3382
Open Access | Times Cited: 11
Seizure detection using AI algorithms
Aiswaryah Radhakrishnan, D. Baskaran, Freni Chellan, et al.
AIP conference proceedings (2025) Vol. 3175, pp. 020065-020065
Closed Access
Machine learning in Alzheimer’s disease drug discovery and target identification
Chaofan Geng, Zhibin Wang, Yi Tang
Ageing Research Reviews (2023) Vol. 93, pp. 102172-102172
Closed Access | Times Cited: 10
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: 14
Microstate-based brain network dynamics distinguishing temporal lobe epilepsy patients: A machine learning approach
Zihan Wei, Xinpei Wang, Chao Liu, et al.
NeuroImage (2024) Vol. 296, pp. 120683-120683
Open Access | Times Cited: 2
A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection
Guanqing Kong, Shuang Ma, Wei Zhao, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification
Sunil Kumar Prabhakar, Seong‐Whan Lee
Applied Soft Computing (2022) Vol. 117, pp. 108416-108416
Closed Access | Times Cited: 11
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
Palak Handa, Esha Gupta, Syed Aneesha Muskan, et al.
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 6
Comparing EEG-Based Epilepsy Diagnosis Using Neural Networks and Wavelet Transform
Mohammad Reza Yousefi, Amin Dehghani, Saina Golnejad, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10412-10412
Open Access | Times Cited: 6
Implementation of Machine Learning and Deep Learning Techniques for the Detection of Epileptic Seizures Using Intracranial Electroencephalography
Marcin Kołodziej, Andrzej Majkowski, Andrzej Rysz
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8747-8747
Open Access | Times Cited: 5
Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold
Hui Xu, Hong He, Wei Xue, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110656-110656
Closed Access | Times Cited: 4
The decreased connectivity in middle temporal gyrus can be used as a potential neuroimaging biomarker for left temporal lobe epilepsy
Jinlong Wu, Jun Wu, Ruimin Guo, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 6
Systemic inflammation as a biomarker of seizure propensity and a target for treatment to reduce seizure propensity
Coral M. Stredny, Alexander Rotenberg, Alan Leviton, et al.
Epilepsia Open (2022) Vol. 8, Iss. 1, pp. 221-234
Open Access | Times Cited: 6
Wavelet Ridges in EEG Diagnostic Features Extraction: Epilepsy Long-Time Monitoring and Rehabilitation after Traumatic Brain Injury
Yu. V. Obukhov, Ivan A. Kershner, Renata A. Tolmacheva, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 5989-5989
Open Access | Times Cited: 7
Electrochemiluminescent detection of epilepsy biomarker miR-134 using a metal complex light switch
Robert J. Forster, David C. Henshall, Hany El‐Naggar, et al.
Bioelectrochemistry (2022) Vol. 146, pp. 108150-108150
Open Access | Times Cited: 3
Epileptic Seizure Prediction Based on EEG by Auto-Machine Learning
Cai Chen, Fulai Peng, Yue Sun, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2022), pp. 710-715
Closed Access | Times Cited: 3
Clinical heterogeneity of epilepsy and mutation spectrum of voltage-gated sodium channel genes
Mohammad Uzair, Ali Mir, Sulman Basit, et al.
Research Square (Research Square) (2024)
Open Access
A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning
Xizhen Zhang, Xiaoli Zhang, Qiong Huang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Evaluating the Potential of Light Exposure on Reducing the Frequency of Epileptic Seizures
Basheer Abdulfattah AlDajani, Mohammad Uzair, Hammad Qaiser, et al.
CNS & Neurological Disorders - Drug Targets (2023) Vol. 23, Iss. 4, pp. 463-467
Closed Access | Times Cited: 1
Temporal lobe epilepsy with hippocampus sclerosis: prevalence, etiology, and treatment options with herbal medicines
Muhammad Wasim, Mehr Musani, Hasan Salman Siddiqi, et al.
Pakistan Journal of Neurological Sciences (2023) Vol. 17, Iss. 03
Open Access
Improving the Performance of Epileptic Seizure Prediction using Supervised Clustering of Deep Features
Pooja Muralidharan, C. Santhosh Kumar, K. T. Sreekumar, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
脳波機械学習によるてんかん発作の検知・予知
Naoto Kunii, 延人 齊藤
Japanese Journal of Neurosurgery (2023) Vol. 32, Iss. 2, pp. 128-130
Open Access
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