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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 review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 031005-031005
Open Access | Times Cited: 1707

Showing 1-25 of 1707 citing articles:

Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 051001-051001
Open Access | Times Cited: 1027
A review on transfer learning in EEG signal analysis
Zitong Wan, Rui Yang, Mengjie Huang, et al.
Neurocomputing (2020) Vol. 421, pp. 1-14
Closed Access | Times Cited: 355
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 341
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 324
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
Jinpeng Li, Shuang Qiu, Yuanyuan Shen, et al.
IEEE Transactions on Cybernetics (2019), pp. 1-13
Closed Access | Times Cited: 288
Data augmentation for deep-learning-based electroencephalography
Elnaz Lashgari, Dehua Liang, Uri Maoz
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108885-108885
Open Access | Times Cited: 276
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
Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao‐Liang Lu
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 14, Iss. 1, pp. 4-19
Open Access | Times Cited: 257
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
Yonghao Song, Qingqing Zheng, Bingchuan Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 710-719
Open Access | Times Cited: 244
EEG Based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-57
Open Access | Times Cited: 236
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 228
EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
Madiha Tariq, Pavel M. Trivailo, Milan Simić
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 204
EEG Classification of Motor Imagery Using a Novel Deep Learning Framework
Mengxi Dai, Dezhi Zheng, Rui Na, et al.
Sensors (2019) Vol. 19, Iss. 3, pp. 551-551
Open Access | Times Cited: 201
Passive BCI beyond the lab: current trends and future directions
Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, et al.
Physiological Measurement (2018) Vol. 39, Iss. 8, pp. 08TR02-08TR02
Closed Access | Times Cited: 197
Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing
Javier Marín‐Morales, Carmen Llinares, Jaime Guixeres, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5163-5163
Open Access | Times Cited: 181
Interface, interaction, and intelligence in generalized brain–computer interfaces
Xiaorong Gao, Yijun Wang, Xiaogang Chen, et al.
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 8, pp. 671-684
Closed Access | Times Cited: 175
Machine-learning-based diagnostics of EEG pathology
Lukas Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, et al.
NeuroImage (2020) Vol. 220, pp. 117021-117021
Open Access | Times Cited: 174
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020)
Open Access | Times Cited: 172
Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces
Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 8, pp. 2390-2401
Open Access | Times Cited: 170
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab, Aapo Hyvärinen, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 4, pp. 046020-046020
Open Access | Times Cited: 168
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
Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161
Deep Learning for EEG-Based Preference Classification in Neuromarketing
Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1525-1525
Open Access | Times Cited: 153
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 153
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
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