Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Channel based epilepsy seizure type detection from electroencephalography (EEG) signals with machine learning techniques
Erdem Tuncer, Emine Doğru Bolat
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 2, pp. 575-595
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Advancing task recognition towards artificial limbs control with ReliefF-based deep neural network extreme learning
Luttfi A. Al-Haddad, Wissam H. Alawee, Ali Basem
Computers in Biology and Medicine (2023) Vol. 169, pp. 107894-107894
Closed Access | Times Cited: 17
Early Detection of Stress and Anxiety Based Seizures in Position Data Augmented EEG Signal Using Hybrid Deep Learning Algorithms
K Palanisamy, Arthi Rengaraj
IEEE Access (2024) Vol. 12, pp. 35351-35365
Open 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
Unveiling encephalopathy signatures: A deep learning approach with locality-preserving features and hybrid neural network for EEG analysis
Jisu Elsa Jacob, Sreejith Chandrasekharan, Thomas Iype, et al.
Neuroscience Letters (2025) Vol. 849, pp. 138146-138146
Closed Access
Eeg Driven Seizure Classification Framework Leveraging Variational Mode Decomposition Technique and Entropy Features Based Bayesian Optimized SVM
C P Kandasamy, Vinodh Kumar E, E Balaji
(2025)
Closed Access
Optimized seizure detection leveraging band-specific insights from limited EEG channels
Indu Dokare, Sudha Gupta
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Closed Access
Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms
Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 355-355
Open Access
Residual and bidirectional LSTM for epileptic seizure detection
Wei Zhao, Wenfeng Wang, L.M. Patnaik, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
Wavelet-Hilbert transform based bidirectional least squares grey transform and modified binary grey wolf optimization for the identification of epileptic EEGs
Chang Liu, Wanzhong Chen, Tao Zhang
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 2, pp. 442-462
Closed Access | Times Cited: 7
Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM
K Palanisamy, Arthi Rengaraj
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 2
Detection of epileptic seizure events using pre‐trained convolutional neural network, VGGNet and ResNet
D. K. Thara, B. G. Premasudha, Senka Krivić
Expert Systems (2023)
Closed Access | Times Cited: 5
Multiband seizure type classification based on 3D convolution with attention mechanisms
Hui Huang, Peiyu Chen, Jianfeng Wen, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107517-107517
Closed Access | Times Cited: 5
A hybrid EEG classification model using layered cascade deep learning architecture
Chang Liu, Wanzhong Chen, Mingyang Li
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2213-2229
Closed Access | Times Cited: 1
EEG-based Epileptic Seizure Detection using Deep Learning Techniques: A Survey
Jie Xu, K.Q. Yan, Zengqian Deng, et al.
Neurocomputing (2024), pp. 128644-128644
Closed Access | Times Cited: 1
A Modified Transformer Network for Seizure Detection Using EEG Signals
Wenrong Hu, Juan Wang, Feng Li, et al.
International Journal of Neural Systems (2024)
Closed Access | Times Cited: 1
Using Explainable Artificial Intelligence to Obtain Efficient Seizure-Detection Models Based on Electroencephalography Signals
Jusciaane Chacon Vieira, Luiz Affonso Guedes, Mailson Ribeiro Santos, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9871-9871
Open Access | Times Cited: 4
Epileptic Seizure Detection based on Hyperparameter Optimization using EEG Data
S. Poorani, S. Kalaiselvi, N. Aarthi, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 890-893
Closed Access | Times Cited: 3
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism
Jie Xu, Juan Wang, Jin‐Xing Liu, et al.
Lecture notes in computer science (2023), pp. 308-319
Closed Access | Times Cited: 3
Classification for EEG Signals Using Machine Learning Algorithm
Shirish Mohan Dubey, Budesh Kanwer, Geeta Tiwari, et al.
Communications in computer and information science (2023), pp. 336-353
Closed Access | Times Cited: 3
Spatiotemporal analysis of interictal EEG for automated seizure detection and classification
Rathin K. Joshi, Varun Kumar M., Megha Agrawal, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104086-104086
Closed Access | Times Cited: 5
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
Abdul Aziz, Nhat Pham, Neel Vora, et al.
ACM Transactions on Computing for Healthcare (2024)
Open Access
Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks
Amber Agarwal, Rishikesh Trivedi, Somya Goyal, et al.
Lecture notes in networks and systems (2024), pp. 65-76
Closed Access
Hybrid Deep Learning Network with Convolutional Attention for Detecting Epileptic Seizures from EEG Signals
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Lecture notes in networks and systems (2024), pp. 1-10
Closed Access
Classification of Term and Preterm Birth Data from Elektrohisterogram (EHG) Data by Empirical Wavelet Transform Based Machine Learning Methods
Erdem Tuncer
Balkan Journal of Electrical and Computer Engineering (2024)
Open Access
Automated Multi-class Seizure-type Classification System using EEG Signals and Machine Learning Algorithms
S. Abirami, Tikaram Tikaram, M. Kathiravan, et al.
IEEE Access (2024) Vol. 12, pp. 136524-136541
Open Access
Page 1 - Next Page

Scroll to top