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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:

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

Showing 1-25 of 1073 citing articles:

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
Brain Computer Interfaces, a Review
Luis F. Nicolás-Alonso, J. Gil
Sensors (2012) Vol. 12, Iss. 2, pp. 1211-1279
Open Access | Times Cited: 1841
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
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
Towards the utilization of EEG as a brain imaging tool
Christoph M. Michel, Micah M. Murray
NeuroImage (2011) Vol. 61, Iss. 2, pp. 371-385
Closed Access | Times Cited: 640
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
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
A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines
Na Lu, Tengfei Li, Xiaodong Ren, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 6, pp. 566-576
Closed Access | Times Cited: 412
Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
Tijl Grootswagers, Susan G. Wardle, Thomas A. Carlson
Journal of Cognitive Neuroscience (2016) Vol. 29, Iss. 4, pp. 677-697
Open Access | Times Cited: 409
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP
Irene Winkler, Stefan Debener, Klaus‐Robert Müller, et al.
(2015)
Closed Access | Times Cited: 381
BCILAB: a platform for brain–computer interface development
Christian Kothe, Scott Makeig
Journal of Neural Engineering (2013) Vol. 10, Iss. 5, pp. 056014-056014
Open Access | Times Cited: 362
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
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
Prior expectations induce prestimulus sensory templates
Peter Kok, Pim Mostert, Floris P. de Lange
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 39, pp. 10473-10478
Open Access | Times Cited: 328
Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces
Paolo Zanini, Marco Congedo, Christian Jutten, et al.
IEEE Transactions on Biomedical Engineering (2017) Vol. 65, Iss. 5, pp. 1107-1116
Open Access | Times Cited: 321
Robust artifactual independent component classification for BCI practitioners
Irene Winkler, Stephanie Brandl, Franziska Horn, et al.
Journal of Neural Engineering (2014) Vol. 11, Iss. 3, pp. 035013-035013
Open Access | Times Cited: 295
Flashing characters with famous faces improves ERP-based brain–computer interface performance
Tobias Kaufmann, Stefan M. Schulz, C Grünzinger, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 5, pp. 056016-056016
Closed Access | Times Cited: 285
Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces
Carmen Vidaurre, Motoaki Kawanabe, Paul von Bünau, et al.
IEEE Transactions on Biomedical Engineering (2010) Vol. 58, Iss. 3, pp. 587-597
Closed Access | Times Cited: 282
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment
No-Sang Kwak, Klaus‐Robert Müller, Seong‐Whan Lee
PLoS ONE (2017) Vol. 12, Iss. 2, pp. e0172578-e0172578
Open Access | Times Cited: 278
A Review on the Computational Methods for Emotional State Estimation from the Human EEG
Min‐Ki Kim, Mi‐Young Kim, Eunmi Oh, et al.
Computational and Mathematical Methods in Medicine (2013) Vol. 2013, pp. 1-13
Open Access | Times Cited: 276
Errare machinale est: the use of error-related potentials in brain-machine interfaces
Ricardo Chavarriaga, A. Sobolewski, José del R. Millán
Frontiers in Neuroscience (2014) Vol. 8
Open Access | Times Cited: 269
Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces
Fabien Lotte
Proceedings of the IEEE (2015) Vol. 103, Iss. 6, pp. 871-890
Open Access | Times Cited: 267
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