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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:

Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
Ozan Kocadağlı, Reza Langari
Expert Systems with Applications (2017) Vol. 88, pp. 419-434
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 11, pp. 4793-4813
Open Access | Times Cited: 1405
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network
Yuan Zhang, Yao Guo, Po Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 465-474
Open Access | Times Cited: 232
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
Ankit Thakkar, Kinjal Chaudhari
Expert Systems with Applications (2021) Vol. 177, pp. 114800-114800
Closed Access | Times Cited: 173
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection
Kemal Akyol
Expert Systems with Applications (2020) Vol. 148, pp. 113239-113239
Closed Access | Times Cited: 142
EEG-based cross-subject emotion recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Information Sciences (2022) Vol. 610, pp. 508-524
Closed Access | Times Cited: 70
EEG seizure detection: concepts, techniques, challenges, and future trends
Athar A. Ein Shoka, Mohamed M. Dessouky, Ayman El‐Sayed, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42021-42051
Open Access | Times Cited: 51
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113788-113788
Closed Access | Times Cited: 130
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
Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform
S. Thomas George, M. S. P. Subathra, N. J. Sairamya, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 709-728
Closed Access | Times Cited: 82
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
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 668-668
Open Access | Times Cited: 64
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Yanli Zhang, Shuxin Yao, Rendi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 135-145
Open Access | Times Cited: 61
Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters
Danilo Pelusi, Raffaele Mascella, Luca G. Tallini, et al.
Expert Systems with Applications (2018) Vol. 102, pp. 234-244
Closed Access | Times Cited: 59
A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method
Emrah Aydemir, Türker Tuncer, Şengül Doğan
Medical Hypotheses (2019) Vol. 134, pp. 109519-109519
Closed Access | Times Cited: 57
Deep learning based epileptic seizure detection with EEG data
S. Poorani, P. Balasubramanie
International Journal of Systems Assurance Engineering and Management (2023)
Closed Access | Times Cited: 19
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, et al.
IEEE Access (2023) Vol. 11, pp. 71905-71924
Open Access | Times Cited: 15
Introduction to Explainable AI in EEG Signal Processing
Parag Puranik, Rahul Pethe
(2025), pp. 79-104
Closed Access
Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification
Fenglian Li, Yuzhou Fan, Xueying Zhang, et al.
Journal of Medical Systems (2019) Vol. 44, Iss. 2
Closed Access | Times Cited: 38
Epileptic Seizure Detection Based on New Hybrid Models with Electroencephalogram Signals
Kemal Polat, Majid Nour
IRBM (2020) Vol. 41, Iss. 6, pp. 331-353
Closed Access | Times Cited: 35
Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals
Türker Tuncer, Şengül Doğan, Ganesh R. Naik, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 16, pp. 25197-25218
Open Access | Times Cited: 29
Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN
N. J. Sairamya, M. S. P. Subathra, S. Thomas George
Expert Systems with Applications (2021) Vol. 192, pp. 116230-116230
Closed Access | Times Cited: 26
Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals
P. Sharmila, T. S. Shiny Angel
Automatika (2024) Vol. 65, Iss. 2, pp. 597-608
Open Access | Times Cited: 3
A new feature for the classification of non-stationary signals based on the direction of signal energy in the time–frequency domain
Nabeel Ali Khan, Sadiq Ali
Computers in Biology and Medicine (2018) Vol. 100, pp. 10-16
Closed Access | Times Cited: 28
An instantaneous frequency and group delay based feature for classifying EEG signals
Nabeel Ali Khan, Sadiq Ali, Kwonhue Choi
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102562-102562
Closed Access | Times Cited: 21
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