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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:

Riemannian Approaches in Brain-Computer Interfaces: A Review
Florian Yger, Maxime Bérar, Fabien Lotte
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 10, pp. 1753-1762
Open Access | Times Cited: 341

Showing 1-25 of 341 citing articles:

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
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
Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach
He He, Dongrui Wu
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 2, pp. 399-410
Open Access | Times Cited: 328
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Yu Zhang, Chang S. Nam, Guoxu Zhou, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 9, pp. 3322-3332
Open Access | Times Cited: 300
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
Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features
Chuong Hoang Nguyen, George K. Karavas, Panagiotis Artemiadis
Journal of Neural Engineering (2017) Vol. 15, Iss. 1, pp. 016002-016002
Closed Access | Times Cited: 223
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
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 5, pp. 1117-1127
Open Access | Times Cited: 138
Transfer learning for motor imagery based brain–computer interfaces: A tutorial
Dongrui Wu, Xue Jiang, Ruimin Peng
Neural Networks (2022) Vol. 153, pp. 235-253
Open Access | Times Cited: 72
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain–Machine Interfaces With EEG Channel Selection
Xiaying Wang, Michael Hersche, Michele Magno, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8835-8847
Open Access | Times Cited: 18
Federated Transfer Learning for EEG Signal Classification
Ce Ju, Dashan Gao, Ravikiran Mane, et al.
(2020), pp. 3040-3045
Open Access | Times Cited: 107
Learning joint space–time–frequency features for EEG decoding on small labeled data
Dongye Zhao, Fengzhen Tang, Bailu Si, et al.
Neural Networks (2019) Vol. 114, pp. 67-77
Closed Access | Times Cited: 99
An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
Xiaying Wang, Michael Hersche, Batuhan Tömekçe, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2020)
Open Access | Times Cited: 88
Data augmentation for self-paced motor imagery classification with C-LSTM
Daniel Freer, Guang‐Zhong Yang
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016041-016041
Open Access | Times Cited: 80
Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals
Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
IEEE Systems Man and Cybernetics Magazine (2020) Vol. 6, Iss. 3, pp. 29-38
Open Access | Times Cited: 78
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
David Sabbagh, Pierre Ablin, Gaël Varoquaux, et al.
NeuroImage (2020) Vol. 222, pp. 116893-116893
Open Access | Times Cited: 75
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach
He He, Dongrui Wu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 5, pp. 1091-1108
Open Access | Times Cited: 70
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification
Abbas Salami, Javier Andreu-Pérez, Helge Gillmeister
IEEE Access (2022) Vol. 10, pp. 36672-36685
Open Access | Times Cited: 63
Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI
Fang Hua, Jing Jin, Ian Daly, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2504-2514
Open Access | Times Cited: 56
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Denis A. Engemann, Apolline Mellot, Richard Höchenberger, et al.
NeuroImage (2022) Vol. 262, pp. 119521-119521
Open Access | Times Cited: 52
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
Ce Ju, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 10955-10969
Open Access | Times Cited: 46
A shallow mirror transformer for subject-independent motor imagery BCI
Jing Luo, Yaojie Wang, Shuxiang Xia, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107254-107254
Closed Access | Times Cited: 37
On the effects of data normalization for domain adaptation on EEG data
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106205-106205
Open Access | Times Cited: 26
Selective multi–view time–frequency decomposed spatial feature matrix for motor imagery EEG classification
Tian-jian Luo
Expert Systems with Applications (2024) Vol. 247, pp. 123239-123239
Closed Access | Times Cited: 12
On-scalp printing of personalized electroencephalography e-tattoos
Luize Scalco de Vasconcelos, Yichen Yan, Pukar Maharjan, et al.
(2025), pp. 100004-100004
Closed Access | Times Cited: 1
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