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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:

Identification and Removal of Physiological Artifacts From Electroencephalogram Signals: A Review
Malik Muhammad Naeem Mannan, Muhammad Ahmad Kamran, Myung Yung Jeong
IEEE Access (2018) Vol. 6, pp. 30630-30652
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 139-155
Open Access | Times Cited: 256
Review of challenges associated with the EEG artifact removal methods
Wajid Mumtaz, Suleman Rasheed, Alina Irfan
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102741-102741
Closed Access | Times Cited: 117
State-of-the-Art on Brain-Computer Interface Technology
Jānis Pekša, Dmytro Mamchur
Sensors (2023) Vol. 23, Iss. 13, pp. 6001-6001
Open Access | Times Cited: 58
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
The Feature, Performance, and Prospect of Advanced Electrodes for Electroencephalogram
Qing Liu, Liangtao Yang, Zhilin Zhang, et al.
Biosensors (2023) Vol. 13, Iss. 1, pp. 101-101
Open Access | Times Cited: 28
Fusion of Spatial, Temporal, and Spectral EEG Signatures Improves Multilevel Cognitive Load Prediction
Yingxin Liu, Yang Yu, Zeqi Ye, et al.
IEEE Transactions on Human-Machine Systems (2023) Vol. 53, Iss. 2, pp. 357-366
Closed Access | Times Cited: 28
Energy-Efficient Neural Network for Epileptic Seizure Prediction
Shiqi Zhao, Jie Yang, Mohamad Sawan
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 1, pp. 401-411
Closed Access | Times Cited: 54
Ocular artifact elimination from electroencephalography signals: A systematic review
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 960-996
Closed Access | Times Cited: 47
Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 36
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, et al.
NeuroImage (2022) Vol. 263, pp. 119586-119586
Open Access | Times Cited: 34
Traumatic Brain Injury (TBI) Detection: Past, Present, and Future
A.T. Alouani, Tarek Elfouly
Biomedicines (2022) Vol. 10, Iss. 10, pp. 2472-2472
Open Access | Times Cited: 29
Open-Loop Neuroadaptive System for Enhancing Student’s Cognitive Abilities in Learning
Vadim Grubov, Marina V. Khramova, Sergey Goman, et al.
IEEE Access (2024) Vol. 12, pp. 49034-49049
Open Access | Times Cited: 7
A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment
Konstantina Kyriaki, Dimitrios Koukopoulos, Christos Fidas
IEEE Access (2024) Vol. 12, pp. 23466-23489
Open Access | Times Cited: 6
EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review
Mrs Rashmi
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 88
Open Access | Times Cited: 27
Investigating the discrimination of linear and nonlinear effective connectivity patterns of EEG signals in children with Attention-Deficit/Hyperactivity Disorder and Typically Developing children
Nasibeh Talebi, Ali Motie Nasrabadi
Computers in Biology and Medicine (2022) Vol. 148, pp. 105791-105791
Closed Access | Times Cited: 25
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals
Neha Gour, Taimur Hassan, Muhammad Owais, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 14
Applications of Higher Order Statistics in Electroencephalography Signal Processing: A Comprehensive Survey
Seyed Alireza Khoshnevis, Ravi Sankar
IEEE Reviews in Biomedical Engineering (2019) Vol. 13, pp. 169-183
Closed Access | Times Cited: 42
Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study
Muhammad Ahmad Kamran, Malik Muhammad Naeem Mannan, Myung Yung Jeong
IEEE Access (2019) Vol. 7, pp. 167172-167186
Open Access | Times Cited: 40
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study
Juan Cheng, Luchang Li, Chang Li, et al.
IEEE Access (2019) Vol. 7, pp. 60276-60289
Open Access | Times Cited: 38
Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks
Fábio Lopes, Adriana Leal, Júlio Medeiros, et al.
IEEE Access (2021) Vol. 9, pp. 149955-149970
Open Access | Times Cited: 31
A Systematic Review on Emotion Recognition System Using Physiological Signals: Data Acquisition and Methodology
K. Tawsif, Nor Azlina Ab. Aziz, J. Emerson Raja, et al.
Emerging Science Journal (2022) Vol. 6, Iss. 5, pp. 1167-1198
Open Access | Times Cited: 21
Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals
Atta Ur Rahman, Abdallah Tubaishat, Feras Al‐Obeidat, et al.
Soft Computing (2022) Vol. 26, Iss. 20, pp. 10687-10698
Closed Access | Times Cited: 20
Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal
Marcin Jurczak, Marcin Kołodziej, Andrzej Majkowski
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 19
The Influence Assessment of Artifact Subspace Reconstruction on the EEG Signal Characteristics
Małgorzata Plechawska–Wójcik, Paweł Augustynowicz, Monika Kaczorowska, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1605-1605
Open Access | Times Cited: 12
DTP-Net: Learning to Reconstruct EEG Signals in Time-Frequency Domain by Multi-Scale Feature Reuse
Yan Pei, Jiahui Xu, Qianhao Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2662-2673
Open Access | Times Cited: 4
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