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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 detection using hybrid machine learning methods
Abdülhamit Subaşı, Jasmin Kevrić, M. Abdullah Canbaz
Neural Computing and Applications (2017) Vol. 31, Iss. 1, pp. 317-325
Closed Access | Times Cited: 250

Showing 1-25 of 250 citing articles:

Epileptic Seizure Detection Based on EEG Signals and CNN
Mengni Zhou, Cheng Tian, Rui Cao, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 392
A review of epileptic seizure detection using machine learning classifiers
Mohammad Khubeb Siddiqui, Rubén Morales-Menéndez, Xiaodi Huang, et al.
Brain Informatics (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 307
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 302
Machine-learning-based diagnostics of EEG pathology
Lukas Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, et al.
NeuroImage (2020) Vol. 220, pp. 117021-117021
Open Access | Times Cited: 174
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103417-103417
Open Access | Times Cited: 120
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals
Asghar Zarei, Babak Mohammadzadeh Asl
Computers in Biology and Medicine (2021) Vol. 131, pp. 104250-104250
Closed Access | Times Cited: 109
Optimizing epileptic seizure recognition performance with feature scaling and dropout layers
Ahmed Omar, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2835-2852
Open Access | Times Cited: 79
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Milind Natu, Mrinal Bachute, Shilpa Gite, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 70
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
Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms
P. A. Karthick, Diptasree Maitra Ghosh, Ramakrishnan Swaminathan
Computer Methods and Programs in Biomedicine (2017) Vol. 154, pp. 45-56
Closed Access | Times Cited: 153
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
Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification
Vinícius Rezende Carvalho, Márcio Flávio Dutra Moraes, Antônio P. Braga, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102073-102073
Open Access | Times Cited: 96
Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach
Lal Hussain
Cognitive Neurodynamics (2018) Vol. 12, Iss. 3, pp. 271-294
Open Access | Times Cited: 95
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
S. Raghu, N. Sriraam, Yasin Temel, et al.
Computers in Biology and Medicine (2019) Vol. 110, pp. 127-143
Open Access | Times Cited: 94
Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
Carlos Eduardo da Silva Santos, Renato Coral Sampaio, Leandro dos Santos Coelho, et al.
Pattern Recognition (2020) Vol. 110, pp. 107649-107649
Closed Access | Times Cited: 90
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102591-102591
Open Access | Times Cited: 89
Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?
Tamim Alsuliman, Dania Humaidan, Layth Sliman
Current Research in Translational Medicine (2020) Vol. 68, Iss. 4, pp. 245-251
Open Access | Times Cited: 76
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdülhamit Subaşı, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102957-102957
Open Access | Times Cited: 68
Application of Machine Learning in Epileptic Seizure Detection
Ly Van Tran, Hieu M. Tran, Tuan Minh Le, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2879-2879
Open Access | Times Cited: 65
Multimodal detection of epilepsy with deep neural networks
Loukas Ilias, Dimitris Askounis, John Psarras
Expert Systems with Applications (2022) Vol. 213, pp. 119010-119010
Open Access | Times Cited: 44
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
Shu Lih Oh, Jahmunah Vicnesh, Elizabeth E. Palmer, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107312-107312
Open Access | Times Cited: 36
Epileptic Seizure Detection Using Machine Learning: Taxonomy, Opportunities, and Challenges
Muhammad Shoaib Farooq, Aimen Zulfiqar, Shamyla Riaz
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1058-1058
Open Access | Times Cited: 33
An overview of machine learning methods in enabling IoMT-based epileptic seizure detection
Alaa Lateef Noor Al-hajjar, Ali Kadhum M. Al‐Qurabat
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 16017-16064
Open Access | Times Cited: 33
An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection
Ijaz Ahmad, Yao Chen, Lin Li, et al.
Journal of Information Security and Applications (2023) Vol. 80, pp. 103654-103654
Closed Access | Times Cited: 26
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