Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Benjamin Blankertz, Ryota Tomioka, Steven Lemm, et al.
IEEE Signal Processing Magazine (2008) Vol. 25, Iss. 1, pp. 41-56
Closed Access | Times Cited: 1910

Showing 1-25 of 1910 citing articles:

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 5, pp. 056013-056013
Open Access | Times Cited: 2849
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas D. J. Fiederer, et al.
Human Brain Mapping (2017) Vol. 38, Iss. 11, pp. 5391-5420
Open Access | Times Cited: 2469
Methods for interpreting and understanding deep neural networks
Grégoire Montavon, Wojciech Samek, Klaus‐Robert Müller
Digital Signal Processing (2017) Vol. 73, pp. 1-15
Open Access | Times Cited: 2353
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
On the interpretation of weight vectors of linear models in multivariate neuroimaging
Stefan Haufe, Frank C. Meinecke, Kai Görgen, et al.
NeuroImage (2013) Vol. 87, pp. 96-110
Open Access | Times Cited: 1332
Single-trial analysis and classification of ERP components — A tutorial
Benjamin Blankertz, Steven Lemm, Matthias S. Treder, et al.
NeuroImage (2010) Vol. 56, Iss. 2, pp. 814-825
Closed Access | Times Cited: 1073
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
Kai Keng Ang, Zheng Yang Chin, Chuanchu Wang, et al.
Frontiers in Neuroscience (2012) Vol. 6
Open Access | Times Cited: 1046
Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
Fabien Lotte, Cuntai Guan
IEEE Transactions on Biomedical Engineering (2010) Vol. 58, Iss. 2, pp. 355-362
Open Access | Times Cited: 971
Review of the BCI Competition IV
Michael Tangermann, Klaus‐Robert Müller, Ad Aertsen, et al.
Frontiers in Neuroscience (2012) Vol. 6
Open Access | Times Cited: 963
Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals
Irene Winkler, Stefan Haufe, Michael Tangermann
Behavioral and Brain Functions (2011) Vol. 7, Iss. 1, pp. 30-30
Open Access | Times Cited: 690
Multiclass Brain–Computer Interface Classification by Riemannian Geometry
Alexandre Barachant, Stéphane Bonnet, Marco Congedo, et al.
IEEE Transactions on Biomedical Engineering (2011) Vol. 59, Iss. 4, pp. 920-928
Open Access | Times Cited: 686
Neurophysiological predictor of SMR-based BCI performance
Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, et al.
NeuroImage (2010) Vol. 51, Iss. 4, pp. 1303-1309
Open Access | Times Cited: 620
Introduction to machine learning for brain imaging
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, et al.
NeuroImage (2010) Vol. 56, Iss. 2, pp. 387-399
Closed Access | Times Cited: 614
Enhanced performance by a hybrid NIRS–EEG brain computer interface
Siamac Fazli, Jan Mehnert, Jens Steinbrink, et al.
NeuroImage (2011) Vol. 59, Iss. 1, pp. 519-529
Open Access | Times Cited: 547
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
Stanislas Chambon, Mathieu Galtier, Pierrick J. Arnal, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 4, pp. 758-769
Open Access | Times Cited: 520
Towards a Cure for BCI Illiteracy
Carmen Vidaurre, Benjamin Blankertz
Brain Topography (2009) Vol. 23, Iss. 2, pp. 194-198
Open Access | Times Cited: 452
Visual and Auditory Brain–Computer Interfaces
Shangkai Gao, Yijun Wang, Xiaorong Gao, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 61, Iss. 5, pp. 1436-1447
Closed Access | Times Cited: 412
Classification of covariance matrices using a Riemannian-based kernel for BCI applications
Alexandre Barachant, Stéphane Bonnet, Marco Congedo, et al.
Neurocomputing (2013) Vol. 112, pp. 172-178
Open Access | Times Cited: 407
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, et al.
IEEE Transactions on Biomedical Engineering (2011) Vol. 58, Iss. 6, pp. 1865-1873
Closed Access | Times Cited: 387
Interpretable deep neural networks for single-trial EEG classification
Irene Sturm, Sebastian Lapuschkin, Wojciech Samek, et al.
Journal of Neuroscience Methods (2016) Vol. 274, pp. 141-145
Open Access | Times Cited: 359
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
A survey of multilinear subspace learning for tensor data
Haiping Lu, Konstantinos N. Plataniotis, A.N. Venetsanopoulos
Pattern Recognition (2011) Vol. 44, Iss. 7, pp. 1540-1551
Closed Access | Times Cited: 353
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
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, et al.
Frontiers in Neuroscience (2010) Vol. 4
Open Access | Times Cited: 335
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
Benjamin Blankertz, Florian Losch, Matthias Krauledat, et al.
IEEE Transactions on Biomedical Engineering (2008) Vol. 55, Iss. 10, pp. 2452-2462
Closed Access | Times Cited: 328
Page 1 - Next Page

Scroll to top