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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:

Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection
Xiaobin Tian, Zhaohong Deng, Wenhao Ying, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 1962-1972
Open Access | Times Cited: 147

Showing 26-50 of 147 citing articles:

MP-SeizNet: A multi-path CNN Bi-LSTM Network for seizure-type classification using EEG
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104780-104780
Open Access | Times Cited: 16
Design of an injectable, self-adhesive, and highly stable hydrogel electrode for sleep recording
Ju-Chun Hsieh, Weilong He, Dhivya Venkatraghavan, et al.
Device (2023) Vol. 2, Iss. 2, pp. 100182-100182
Open Access | Times Cited: 16
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
Ruimin Peng, Zhenbang Du, Changming Zhao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 831-839
Open Access | Times Cited: 6
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG
Kai Li, Jiang Wang, Shanshan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1557-1567
Open Access | Times Cited: 40
Machine-Learning-Based Elderly Stroke Monitoring System Using Electroencephalography Vital Signals
Yoona Choi, Se Jin Park, Jong-Arm Jun, et al.
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1761-1761
Open Access | Times Cited: 35
LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection
Siyuan Qiu, Wenjin Wang, Hailong Jiao
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 4, pp. 1845-1856
Closed Access | Times Cited: 25
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.
IEEE Access (2022) Vol. 11, pp. 564-594
Open Access | Times Cited: 25
A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network
Yikai Gao, Aiping Liu, Lanlan Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1847-1856
Open Access | Times Cited: 14
Less Parameterization Inception-Based End to End CNN Model for EEG Seizure Detection
Kuo‐Kai Shyu, Szu‐Chi Huang, Lung‐Hao Lee, et al.
IEEE Access (2023) Vol. 11, pp. 49172-49182
Open Access | Times Cited: 13
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach
Ijaz Ahmad, Zhenzhen Liu, Lin Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5742-5754
Closed Access | Times Cited: 5
Enhanced Epileptic Seizure Detection through Wavelet-Based Analysis of EEG Signal Processing
Sebastián Urbina Fredes, Ali Dehghan Firoozabadi, Pablo Adasme, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5783-5783
Open Access | Times Cited: 5
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
A Comprehensive Review of EEG Signals Based on Epileptic Seizure Detection
Ajay Prinston Pinto, S. Dattathreya
Communications in computer and information science (2025), pp. 282-293
Closed Access
AHW-BGOA-DNN: a novel deep learning model for epileptic seizure detection
H. Anila Glory, C. Vigneswaran, Sujeet S. Jagtap, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 6065-6093
Closed Access | Times Cited: 36
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
Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals
Mrutyunjaya Sahani, Susanta Kumar Rout, P.K. Dash
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 15, Iss. 3, pp. 595-605
Closed Access | Times Cited: 29
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
Chenqi Li, Corey Lammie, Xuening Dong, et al.
IEEE Transactions on Biomedical Circuits and Systems (2022) Vol. 16, Iss. 4, pp. 609-625
Open Access | Times Cited: 20
Change-point detection with deep learning: A review
Ruiyu Xu, Zheren Song, Jianguo Wu, et al.
Frontiers of Engineering Management (2025)
Open Access
Automatic epileptic EEG classification based on differential entropy and attention model
Jian Zhang, Zuochen Wei, Junzhong Zou, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103975-103975
Closed Access | Times Cited: 30
Epileptic seizure detection using deep learning techniques: A Review
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 29
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification
Sebamai Parija, Ranjeeta Bisoi, P.K. Dash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104426-104426
Closed Access | Times Cited: 24
A wide interpretable Gaussian Takagi–Sugeno–Kang fuzzy classifier and its incremental learning
Runshan Xie, Shitong Wang
Knowledge-Based Systems (2022) Vol. 241, pp. 108203-108203
Closed Access | Times Cited: 17
Explainable automated seizure detection using attentive deep multi-view networks
Aref Einizade, Samaneh Nasiri, Mohsen Mozafari, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104076-104076
Closed Access | Times Cited: 16
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: 10

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