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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:

A Unified Framework and Method for EEG-Based Early Epileptic Seizure Detection and Epilepsy Diagnosis
Zixu Chen, Guoliang Lu, Zhaohong Xie, et al.
IEEE Access (2020) Vol. 8, pp. 20080-20092
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

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: 72
Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model
Fırat DİŞLİ, Mehmet Gedikpınar, Hüseyin Fırat, et al.
Diagnostics (2025) Vol. 15, Iss. 1, pp. 84-84
Open Access | Times Cited: 2
Epileptic seizure detection in EEG using mutual information-based best individual feature selection
Kazi Mahmudul Hassan, Md. Rabiul Islam, Thanh Thi Nguyen, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116414-116414
Closed Access | Times Cited: 40
An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection
M. V. V. Prasad Kantipudi, N. S. Pradeep Kumar, Rajanikanth Aluvalu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network
J. Prasanna, M. S. P. Subathra, Mazin Abed Mohammed, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4952-4952
Open Access | Times Cited: 53
Effective Early Detection of Epileptic Seizures through EEG Signals Using Classification Algorithms Based on t-Distributed Stochastic Neighbor Embedding and K-Means
Khaled M. Alalayah, Ebrahim Mohammed Senan, Hany F. Atlam, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1957-1957
Open Access | Times Cited: 17
Classification of focal EEG signals using FBSE based flexible time-frequency coverage wavelet transform
Vipin Gupta, Ram Bilas Pachori
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102124-102124
Closed Access | Times Cited: 41
Review of Methods for EEG Signal Classification and Development of New Fuzzy Classification-Based Approach
Jan Rabčan, Vitaly Levashenko, Elena Zaitseva, et al.
IEEE Access (2020) Vol. 8, pp. 189720-189734
Open Access | Times Cited: 41
Detection of Epileptic Seizures From EEG Signals by Combining Dimensionality Reduction Algorithms With Machine Learning Models
Muhammad Zubair, Maria Vladimirovna Belykh, M. Umesh Kumar Naik, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 15, pp. 16861-16869
Open Access | Times Cited: 35
Evaluation of Unsupervised Anomaly Detection Techniques in Labelling Epileptic Seizures on Human EEG
О Э Карпов, Matvey Khoymov, Vladimir Maksimenko, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5655-5655
Open Access | Times Cited: 14
Detection Method of Epileptic Seizures Using a Neural Network Model Based on Multimodal Dual-Stream Networks
Baiyang Wang, Yidong Xu, Siyu Peng, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3360-3360
Open Access | Times Cited: 5
An Explainable Deep Learning-Based Method for Schizophrenia Diagnosis Using Generative Data-Augmentation
Mehrshad Saadatinia, Armin Salimi-Badr
IEEE Access (2024) Vol. 12, pp. 98379-98392
Open Access | Times Cited: 5
Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106895-106895
Closed Access | Times Cited: 5
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open 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
A Vital Signs Fast Detection and Extraction Method of UWB Impulse Radar Based on SVD
Siyun Liu, Qingjie Qi, Huifeng Cheng, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1177-1177
Open Access | Times Cited: 19
Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods
Ali Öter
Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji (2024) Vol. 12, Iss. 1, pp. 257-266
Open Access | Times Cited: 4
Balancing efficacy and safety: The dual impact of antiseizure medications on the developing brain
Mariana Silva Oliveira, Rômulo Araújo Fernandes, Livia Sâmara Franciele de Souza Pinto, et al.
Epilepsy & Behavior (2025) Vol. 167, pp. 110400-110400
Closed Access
Feature Selection with Deep Belief Network for Epileptic Seizure Detection on EEG Signals
Srikanth Cherukuvada, R. Kayalvizhi
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 4101-4118
Open Access | Times Cited: 10
Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection
Rafik Djemili, Ilyes Djemili
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 15, pp. 2091-2110
Closed Access | Times Cited: 10
Novel Features Extraction From EEG Signals for Epilepsy Detection Using Machine Learning Model
Vandana Pandya, Urvashi Prakash Shukla, Amit M. Joshi
IEEE Sensors Letters (2023) Vol. 7, Iss. 10, pp. 1-4
Closed Access | Times Cited: 9
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
Automated EEG signal classification using chaotic local binary pattern
Türker Tuncer, Şengül Doğan, U. Rajendra Acharya
Expert Systems with Applications (2021) Vol. 182, pp. 115175-115175
Closed Access | Times Cited: 21
Analysis of region of interest (RoI) of brain for detection of depression using EEG signal
Shalini Mahato, Sanchita Paul
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 763-786
Closed Access | Times Cited: 8
Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection
Weidong Dang, Dongmei Lv, Lin-Ge Rui, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 24, pp. 27651-27658
Closed Access | Times Cited: 18
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