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:

Removal of Artifacts from EEG Signals: A Review
Jiang Xiao, Gui‐Bin Bian, Zean Tian
Sensors (2019) Vol. 19, Iss. 5, pp. 987-987
Open Access | Times Cited: 629

Showing 1-25 of 629 citing articles:

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities
Nazmi Sofian Suhaimi, James Mountstephens, Jason Teo
Computational Intelligence and Neuroscience (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 279

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 273

A comparative analysis of signal processing and classification methods for different applications based on EEG signals
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 649-690
Closed Access | Times Cited: 208

Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir F. Al-Bakri, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 183

Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, et al.
IEEE Access (2019) Vol. 7, pp. 171431-171451
Open Access | Times Cited: 163

A Review on Mental Stress Assessment Methods Using EEG Signals
Rateb Katmah, Fares Al-Shargie, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5043-5043
Open Access | Times Cited: 161

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review
Sana Yasin, Syed Asad Hussain, Sinem Aslan, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 106007-106007
Open Access | Times Cited: 156

Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 154

Recognition of human emotions using EEG signals: A review
R. Saidur, Ajay Krishno Sarkar, Md. Amzad Hossain, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104696-104696
Closed Access | Times Cited: 153

Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 132

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

Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review
Rihui Li, Dalin Yang, Feng Fang, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5865-5865
Open Access | Times Cited: 117

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
Ahmad Chaddad, Yihang Wu, Reem Kateb, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6434-6434
Open Access | Times Cited: 95

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

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 25

Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 21

DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network
Yi Cai, Meng Zhao, Dian Huang
Sensors (2025) Vol. 25, Iss. 1, pp. 231-231
Open Access | Times Cited: 2

An overview of methods and techniques in multimodal data fusion with application to healthcare
Siwar Chaabene, Amal Boudaya, Bassem Bouaziz, et al.
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 2

Physiological Measurements of Situation Awareness: A Systematic Review
Ting Zhang, Jing Yang, Nade Liang, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2020) Vol. 65, Iss. 5, pp. 737-758
Open Access | Times Cited: 125

EEG Alpha Power Is Modulated by Attentional Changes during Cognitive Tasks and Virtual Reality Immersion
Elisa Magosso, Francesca De Crescenzio, Giulia Ricci, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-18
Open Access | Times Cited: 110

Hippocampal atrophy based Alzheimer’s disease diagnosis via machine learning methods
Gokce Uysal, Mahmut Öztürk
Journal of Neuroscience Methods (2020) Vol. 337, pp. 108669-108669
Closed Access | Times Cited: 104

Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan
Expert Systems with Applications (2020) Vol. 164, pp. 114031-114031
Closed Access | Times Cited: 100

Decoding Covert Speech From EEG-A Comprehensive Review
Jerrin Thomas Panachakel, A. G. Ramakrishnan
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 98

A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm
Ding Yan, Xuemei Chen, Qiming Fu, et al.
IEEE Access (2020) Vol. 8, pp. 75616-75629
Open Access | Times Cited: 96

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