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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:

Epileptic Seizure Prediction Based on Convolutional Recurrent Neural Network with Multi-Timescale
Lijuan Duan, Jinze Hou, Yuanhua Qiao, et al.
Lecture notes in computer science (2019), pp. 139-150
Closed Access | Times Cited: 11

Showing 11 citing articles:

Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features
Kuldeep Singh, Jyoteesh Malhotra
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2405-2418
Open Access | Times Cited: 71
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
D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism
Arfat Ahmad Khan, Rakesh Kumar Madendran, Usharani Thirunavukkarasu, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 755-769
Open Access | Times Cited: 40
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction
Yao Wang, Yufei Shi, Yinlin Cheng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 900-911
Open Access | Times Cited: 28
Novel deep learning framework for detection of epileptic seizures using EEG signals
Sayani Mallick, Veeky Baths
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 6
A hybrid 1D CNN-BiLSTM model for epileptic seizure detection using multichannel EEG feature fusion
Swathy Ravi, Ashalatha Radhakrishnan
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035040-035040
Closed Access | Times Cited: 3
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
BERT-RCNN: an Automatic Classification of App Reviews using Transfer Learning based RCNN Deep Model
Kamaljit Kaur, Parminder Kaur
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Seizure Susceptibility Prediction in Uncontrolled Epilepsy
Nhan Duy Truong, Yikai Yang, Christina Maher, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 11
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning
Chrisa Samara, Εleni Vrochidou, George A. Papakostas
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (2023), pp. 1-7
Closed Access | Times Cited: 4
Cross-Site Generalization for Imbalanced Epileptic Classification
Tala Abdallah, Nisrine Jrad, Fahed Abdallah, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access
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