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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:

Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier
Banu Priya Prathaban, Рамачандран Баласубраманиан
Expert Systems with Applications (2020) Vol. 170, pp. 114533-114533
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

A deep learning based ensemble learning method for epileptic seizure prediction
Syed Muhammad Usman, Shehzad Khalid, Sadaf Bashir
Computers in Biology and Medicine (2021) Vol. 136, pp. 104710-104710
Closed Access | Times Cited: 111
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 44
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: 57
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG
Shailesh Vitthalrao Bhalerao, Ram Bilas Pachori
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103792-103792
Closed Access | Times Cited: 54
Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 40
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Fábio Lopes, Adriana Leal, Mauro F. Pinto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
An Overview of EEG-based Machine Learning Methods in Seizure Prediction and Opportunities for Neurologists in this Field
Buajieerguli Maimaiti, Hongmei Meng, Yudan Lv, et al.
Neuroscience (2021) Vol. 481, pp. 197-218
Closed Access | Times Cited: 34
Spatio-temporal MLP network for seizure prediction using EEG signals
Chang Li, Chenghao Shao, Rencheng Song, et al.
Measurement (2022) Vol. 206, pp. 112278-112278
Closed Access | Times Cited: 27
A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Jee Sook, Tianning Li, Yanli
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107678-107678
Open Access | Times Cited: 13
Implementation of a non-linear SVM classification for seizure EEG signal analysis on FPGA
Shalini Shanmugam, D. Selvathi
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107826-107826
Closed Access | Times Cited: 5
Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN
Xin Liu, Chunyang Li, Xi-Cheng Lou, et al.
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access | Times Cited: 5
Automatic detection of schizophrenia based on spatial–temporal feature mapping and LeViT with EEG signals
Beilin Li, Jiao Wang, Zhifen Guo, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119969-119969
Closed Access | Times Cited: 12
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures
Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104798-104798
Closed Access | Times Cited: 11
Predictive models of epilepsy outcomes
Shehryar Sheikh, Lara Jehi
Current Opinion in Neurology (2024) Vol. 37, Iss. 2, pp. 115-120
Closed Access | Times Cited: 4
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
Zakary Georgis-Yap, Miloš R. Popović, Shehroz S. Khan
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 2, pp. 286-312
Open Access | Times Cited: 4
An efficient epileptic seizure detection by classifying focal and non-focal EEG signals using optimized deep dual adaptive CNN-HMM classifier
Puja Chavan, Sharmishta Desai
Multimedia Tools and Applications (2024) Vol. 83, Iss. 19, pp. 57347-57388
Closed Access | Times Cited: 3
Investigating the interpretability of schizophrenia EEG mechanism through a 3DCNN-based hidden layer features aggregation framework
Zhifen Guo, Jiao Wang, Tianyu Jing, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108105-108105
Closed Access | Times Cited: 3
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
Synchroextracting chirplet transform-based epileptic seizures detection using EEG
Yun Jiang, Wanzhong Chen, Mingyang Li, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102699-102699
Closed Access | Times Cited: 21
3D residual-attention-deep-network-based childhood epilepsy syndrome classification
Yuanmeng Feng, Runze Zheng, Xiaonan Cui, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108856-108856
Closed Access | Times Cited: 14
Deep learning based smart health monitoring for automated prediction of epileptic seizures using spectral analysis of scalp EEG
Kuldeep Singh, Jyoteesh Malhotra
Physical and Engineering Sciences in Medicine (2021) Vol. 44, Iss. 4, pp. 1161-1173
Closed Access | Times Cited: 19
Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN
N. D. Qi, Yan Piao, Peng Yu, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 7, pp. 1845-1856
Closed Access | Times Cited: 7
ForeSeiz: An IoMT based headband for Real-time epileptic seizure forecasting
Banu Priya Prathaban, Рамачандран Баласубраманиан, R. Kalpana
Expert Systems with Applications (2021) Vol. 188, pp. 116083-116083
Closed Access | Times Cited: 16
Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG
Xiaoshuang Wang, Chi Zhang, Tommi Kärkkäinen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 316-325
Open Access | Times Cited: 12
A Signal-Based One-Dimensional Convolutional Neural Network (SB 1D CNN) Model for Seizure Prediction
Ali Derogar Moghadam, Mohammad Reza Karami Mollaei, Mohammadreza Hassanzadeh
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 8, pp. 5211-5236
Closed Access | Times Cited: 2
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