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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:

Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification
Yuanfa Wang, Zunchao Li, Lichen Feng, et al.
Computational and Mathematical Methods in Medicine (2017) Vol. 2017, pp. 1-10
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection
Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Machine learning-based EEG signals classification model for epileptic seizure detection
Aayesha Aayesha, Muhammad Bilal Qureshi, Muhammad Afzaal, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 12, pp. 17849-17877
Closed Access | Times Cited: 100
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
Jiang Wu, Tengfei Zhou, Taiyong Li
Entropy (2020) Vol. 22, Iss. 2, pp. 140-140
Open Access | Times Cited: 82
Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks
Waqar Hussain, Muhammad Tariq Sadiq, Siuly Siuly, et al.
Applied Acoustics (2021) Vol. 177, pp. 107941-107941
Closed Access | Times Cited: 70
A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
Shalini Shanmugam, D. Selvathi
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20605-20617
Closed Access | Times Cited: 28
Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare
Saeed Mian Qaisar, Syed Fawad Hussain
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106034-106034
Closed Access | Times Cited: 43
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals
Yanna Zhao, Gaobo Zhang, Changxu Dong, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 07, pp. 2150027-2150027
Closed Access | Times Cited: 41
Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm
Jiuwen Cao, Dinghan Hu, Yaomin Wang, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 684-695
Closed Access | Times Cited: 38
Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis
Deba Prasad Dash, Maheshkumar H. Kolekar, Chinmay Chakraborty, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-29
Open 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
EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network
G. Yogarajan, Najah Alsubaie, G. Rajasekaran, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
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
Classification of inter-ictal and ictal EEGs using multi-basis MODWPT, dimensionality reduction algorithms and LS-SVM: A comparative study
Tao Zhang, Wanzhong Chen, Mingyang Li
Biomedical Signal Processing and Control (2018) Vol. 47, pp. 240-251
Closed Access | Times Cited: 46
New Approach for Automated Epileptic Disease Diagnosis Using an Integrated Self-Organization Map and Radial Basis Function Neural Network Algorithm
Ahmed Hamza Osman, Ahmad A. Alzahrani
IEEE Access (2018) Vol. 7, pp. 4741-4747
Open Access | Times Cited: 42
Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer’s Disease Based on an Extreme Learning Machine Method from the ADNI cohort
Feng Zhang, Sijia Tian, Sipeng Chen, et al.
Neuroscience (2019) Vol. 414, pp. 273-279
Closed Access | Times Cited: 36
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
Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier
Syed Fawad Hussain, Saeed Mian Qaisar
Expert Systems with Applications (2021) Vol. 191, pp. 116356-116356
Closed Access | Times Cited: 27
IoT based monitoring system for epileptic patients
Souleyman Hassan, Elijah Mwangi, Peter K. Kihato
Heliyon (2022) Vol. 8, Iss. 6, pp. e09618-e09618
Open Access | Times Cited: 22
A 65nm/0.448 mW EEG processor with parallel architecture SVM and lifting wavelet transform for high-performance and low-power epilepsy detection
Yongzhong Wen, Yuejun Zhang, Liang Wen, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105366-105366
Closed Access | Times Cited: 13
Automated detection of MRI-negative temporal lobe epilepsy with ROI-based morphometric features and machine learning
Lin Yang, Bo Peng, Wei Gao, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 2
Epileptic Seizure Detection With Permutation Fuzzy Entropy Using Robust Machine Learning Techniques
Waqar Hussain, Muhammad Shahid Iqbal, Jie Xiang, et al.
IEEE Access (2019) Vol. 7, pp. 182238-182258
Open Access | Times Cited: 21
An accurate automated schizophrenia detection using TQWT and statistical moment based feature extraction
Mehmet Bayğın
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102777-102777
Closed Access | Times Cited: 16
Monitoring System for Prediction and Detection of Epilepsy Seizure
Nashaat El Halabi, Roy Abi Zeid Daou, Roger Achkar, et al.
(2019), pp. 1-7
Closed Access | Times Cited: 19
Epileptic seizure recognition using EEG wavelet decomposition based on nonlinear and statistical features with support vector machine classification
Nabil Dib, R. Benali, F. Bereksi Reguig
Biomedical Engineering / Biomedizinische Technik (2019) Vol. 65, Iss. 2, pp. 133-148
Closed Access | Times Cited: 18
Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine
S. Zhang, T. Zhang, Chengyu Liu
SAR and QSAR in environmental research (2019) Vol. 30, Iss. 3, pp. 209-228
Closed Access | Times Cited: 17
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