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:

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: 42

Showing 1-25 of 42 citing articles:

Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review
Kholoud Elnaggar, M. M. El-Gayar, Mohammed Elmogy
Diagnostics (2025) Vol. 15, Iss. 2, pp. 210-210
Open Access | Times Cited: 1

Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 108-142
Closed Access | Times Cited: 54

Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States
Pratiyush Guleria, Shakeel Ahmed, Abdulaziz Alhumam, et al.
Healthcare (2022) Vol. 10, Iss. 1, pp. 85-85
Open Access | Times Cited: 33

Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning
Maryam Doborjeh, Xiaoxu Liu, Zohreh Doborjeh, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 902-902
Open Access | Times Cited: 20

Classification of Alzheimer’s Disease from EEG Signal Using Robust-PCA Feature Extraction
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, et al.
Procedia Computer Science (2021) Vol. 192, pp. 3114-3122
Open Access | Times Cited: 36

EEG Signal Classification Based On Fuzzy Classifiers
Jan Rabčan, Vitaly Levashenko, Elena Zaitseva, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 2, pp. 757-766
Open Access | Times Cited: 35

Methods to Manage Data in Self-healing Systems
Andriy Kovalenko, Heorhii Kuchuk
Studies in systems, decision and control (2022), pp. 113-171
Closed Access | Times Cited: 26

Real-Time EEG-Based Emotion Recognition
Xiangkun Yu, Zhengjie Li, Zhibang Zang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7853-7853
Open Access | Times Cited: 14

EEG Signal Classification Using Linear Process Model-Based Feature Extraction and Supervised Learning
Artur Zaporozhets, Yurii Kuts, Bogdana Mlynko, et al.
Studies in systems, decision and control (2025), pp. 235-257
Closed Access

Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods
Qi Sang, Chen Chen, Zeguo Shao
Bioengineering (2025) Vol. 12, Iss. 5, pp. 449-449
Open Access

Ensemble Siamese Network (ESN) Using ECG Signals for Human Authentication in Smart Healthcare System
Seyed Mehdi Hazrati Fard, Vibhav Agrawal, Fayez Gebali, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4727-4727
Open Access | Times Cited: 8

Machine Learning Classification of Event-Related Brain Potentials during a Visual Go/NoGo Task
Anna Bryniarska, J. A. Ramos, Mercedes Fernández
Entropy (2024) Vol. 26, Iss. 3, pp. 220-220
Open Access | Times Cited: 2

EEG Authentication System Based on One- and Multi-Class Machine Learning Classifiers
Luis Hernández–Álvarez, Elena Barbierato, Stefano Caputo, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 186-186
Open Access | Times Cited: 10

Power quality disturbance classification taking into consideration the loss of data during pre-processing of disturbance signal
Poras Khetarpal, M. M. Tripathi
Electric Power Systems Research (2023) Vol. 220, pp. 109372-109372
Closed Access | Times Cited: 6

Identification of Alzheimer’s Disease Using Novel Dual Decomposition Technique and Machine Learning Algorithms from EEG Signals
Digambar Puri, Sanjay L. Nalbalwar, Anil Nandgaonkar, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 2, pp. 658-665
Open Access | Times Cited: 6

A Review on Deep Learning Approaches for Motor Imagery EEG Signal Classification for Brain–Computer Interface Systems
A. Nandhini, J. Sangeetha
Advances in intelligent systems and computing (2023), pp. 353-365
Closed Access | Times Cited: 5

Multimodal Assessment of the Pulse Rate Variability Analysis Module of a Photoplethysmography-Based Telemedicine System
Flóra Antali, Dániel Kulin, Konrád István Lucz, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5544-5544
Open Access | Times Cited: 12

Fuzzy-Based Automatic Epileptic Seizure Detection Framework
Aayesha Aayesha, Muhammad Bilal Qureshi, Muhammad Afzaal, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 5601-5630
Open Access | Times Cited: 12

A new design of epileptic seizure detection using hybrid heuristic-based weighted feature selection and ensemble learning
Vedavati Bhandari, Manjaiah D. Huchaiah
International Journal of Intelligent Robotics and Applications (2022) Vol. 6, Iss. 4, pp. 668-693
Closed Access | Times Cited: 8

Convolutional Neural Network for Closed-Set Identification from Resting State Electroencephalography
Chi Qin Lai, Haidi Ibrahim, Shahrel Azmin Suandi, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3442-3442
Open Access | Times Cited: 8

Improved ensemble learning model with optimal feature selection for automated epileptic seizure detection
Vedavati Bhandari, Manjaiah D.H
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 2, pp. 135-165
Closed Access | Times Cited: 7

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals
Hyeonseok Kim, Makoto Miyakoshi, Yeong‐Dae Kim, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 277-277
Open Access | Times Cited: 7

The Use of Decision Trees for Analysis of the Epilepsy
Daniela Gîfu
Procedia Computer Science (2021) Vol. 192, pp. 2844-2853
Open Access | Times Cited: 7

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