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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:

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
Benjamin Blankertz, K. Müller, Gabriel Curio, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 1044-1051
Closed Access | Times Cited: 647

Showing 1-25 of 647 citing articles:

A review of classification algorithms for EEG-based brain–computer interfaces
Fabien Lotte, Marco Congedo, A. Lécuyer, et al.
Journal of Neural Engineering (2007) Vol. 4, Iss. 2, pp. R1-R13
Open Access | Times Cited: 2514
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
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
Optimization for Machine Learning
Suvrit Sra, Sebastian Nowozin, Stephen J. Wright
The MIT Press eBooks (2011)
Open Access | Times Cited: 899
Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 899
The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
NeuroImage (2007) Vol. 37, Iss. 2, pp. 539-550
Closed Access | Times Cited: 893
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Ali Bashashati, Mehrdad Fatourechi, Rabab Ward, et al.
Journal of Neural Engineering (2007) Vol. 4, Iss. 2, pp. R32-R57
Closed Access | Times Cited: 866
The BCI competition III: validating alternative approaches to actual BCI problems
Benjamin Blankertz, K. Müller, Dean J. Krusienski, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006) Vol. 14, Iss. 2, pp. 153-159
Closed Access | Times Cited: 859
A comparison of classification techniques for the P300 Speller
Dean J. Krusienski, Eric W. Sellers, François Cabestaing, et al.
Journal of Neural Engineering (2006) Vol. 3, Iss. 4, pp. 299-305
Open Access | Times Cited: 742
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Hubert Cecotti, Anita Graser
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010) Vol. 33, Iss. 3, pp. 433-445
Open Access | Times Cited: 730
Toward enhanced P300 speller performance
Dean J. Krusienski, Eric W. Sellers, Dennis J. McFarland, et al.
Journal of Neuroscience Methods (2007) Vol. 167, Iss. 1, pp. 15-21
Open Access | Times Cited: 721
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
Guido Dornhege, Benjamin Blankertz, Gabriel Curio, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 993-1002
Closed Access | Times Cited: 626
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
A practical VEP-based brain-computer interface
Yijun Wang, Ruiping Wang, Xiaorong Gao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006) Vol. 14, Iss. 2, pp. 234-240
Closed Access | Times Cited: 590
BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller
Alain Rakotomamonjy, Vincent Guigue
IEEE Transactions on Biomedical Engineering (2008) Vol. 55, Iss. 3, pp. 1147-1154
Closed Access | Times Cited: 493
xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface
Bertrand Rivet, Antoine Souloumiac, Virginie Attina, et al.
IEEE Transactions on Biomedical Engineering (2009) Vol. 56, Iss. 8, pp. 2035-2043
Open Access | Times Cited: 492
BCI Competition 2003—Data Set IIb: Support Vector Machines for the P300 Speller Paradigm
Matthias Kaper, Peter Meinicke, U. Grossekathoefer, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 1073-1076
Closed Access | Times Cited: 489
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
Natasha Padfield, Jaime Zabalza, Huimin Zhao, et al.
Sensors (2019) Vol. 19, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 469
Towards adaptive classification for BCI
Pradeep Shenoy, Matthias Krauledat, Benjamin Blankertz, et al.
Journal of Neural Engineering (2006) Vol. 3, Iss. 1, pp. R13-R23
Closed Access | Times Cited: 421
Characterization of four-class motor imagery EEG data for the BCI-competition 2005
Alois Schlögl, Felix Lee, Horst Bischof, et al.
Journal of Neural Engineering (2005) Vol. 2, Iss. 4, pp. L14-L22
Closed Access | Times Cited: 412
Brain–computer interface systems: progress and prospects
Brendan Z. Allison, Elizabeth Winter Wolpaw, Jonathan R. Wolpaw
Expert Review of Medical Devices (2007) Vol. 4, Iss. 4, pp. 463-474
Closed Access | Times Cited: 399
A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces
Yijun Wang, Xiaogang Chen, Xiaorong Gao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 10, pp. 1746-1752
Closed Access | Times Cited: 369
Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface
Yijun Wang, Shangkai Gao, Xiaorong Gao
(2005), pp. 5392-5395
Closed Access | Times Cited: 366
Estimating workload using EEG spectral power and ERPs in the n-back task
Anne-Marie Brouwer, Maarten A. Hogervorst, Jan B. F. van Erp, et al.
Journal of Neural Engineering (2012) Vol. 9, Iss. 4, pp. 045008-045008
Closed Access | Times Cited: 352
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