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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:

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

Showing 1-25 of 493 citing articles:

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
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
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
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
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
(C)overt attention and visual speller design in an ERP-based brain-computer interface
Matthias S. Treder, Benjamin Blankertz
Behavioral and Brain Functions (2010) Vol. 6, Iss. 1, pp. 28-28
Open Access | Times Cited: 350
An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential
Yuanqing Li, Jinyi Long, Tianyou Yu, et al.
IEEE Transactions on Biomedical Engineering (2010) Vol. 57, Iss. 10, pp. 2495-2505
Closed Access | Times Cited: 287
Deep learning based on Batch Normalization for P300 signal detection
Mingfei Liu, Wei Wu, Zhenghui Gu, et al.
Neurocomputing (2017) Vol. 275, pp. 288-297
Closed Access | Times Cited: 214
A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm
Erwei Yin, Zongtan Zhou, Jun Jiang, et al.
Journal of Neural Engineering (2013) Vol. 10, Iss. 2, pp. 026012-026012
Closed Access | Times Cited: 212
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
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier
Abdülhamit Subaşı, Türker Tuncer, Şengül Doğan, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102648-102648
Open Access | Times Cited: 130
Subject-independent mental state classification in single trials
Siamac Fazli, Florin Popescu, Márton Danóczy, et al.
Neural Networks (2009) Vol. 22, Iss. 9, pp. 1305-1312
Closed Access | Times Cited: 246
Brain-computer interface technologies: from signal to action
Alexis Ortiz-Rosario, Hojjat Adeli
Reviews in the Neurosciences (2013) Vol. 24, Iss. 5
Closed Access | Times Cited: 199
Visual modifications on the P300 speller BCI paradigm
Mathew Salvaris, Francisco Sepulveda
Journal of Neural Engineering (2009) Vol. 6, Iss. 4, pp. 046011-046011
Closed Access | Times Cited: 189
Optimizing the P300-based brain–computer interface: current status, limitations and future directions
Joseph N. Mak, Yael Arbel, James W. Minett, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 2, pp. 025003-025003
Closed Access | Times Cited: 188
Gaze-independent brain–computer interfaces based on covert attention and feature attention
Matthias S. Treder, Nico M. Schmidt, Benjamin Blankertz
Journal of Neural Engineering (2011) Vol. 8, Iss. 6, pp. 066003-066003
Open Access | Times Cited: 176
A regularized discriminative framework for EEG analysis with application to brain–computer interface
Ryota Tomioka, Klaus‐Robert Müller
NeuroImage (2009) Vol. 49, Iss. 1, pp. 415-432
Closed Access | Times Cited: 171
Spelling with non-invasive Brain–Computer Interfaces – Current and future trends
Hubert Cecotti
Journal of Physiology-Paris (2011) Vol. 105, Iss. 1-3, pp. 106-114
Closed Access | Times Cited: 166
A Tutorial on EEG Signal-processing Techniques for Mental-state Recognition in Brain–Computer Interfaces
Fabien Lotte
Springer eBooks (2014), pp. 133-161
Closed Access | Times Cited: 161
Classification of ADHD patients on the basis of independent ERP components using a machine learning system
Andreas Mueller, Gian Candrian, Juri D. Kropotov, et al.
Nonlinear Biomedical Physics (2010) Vol. 4, Iss. S1
Open Access | Times Cited: 140
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
Murat Kaya, Mustafa Kemal Binli, Erkan Özbay, et al.
Scientific Data (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 139
Statistical spatial filtering for a P300-based BCI: Tests in able-bodied, and patients with cerebral palsy and amyotrophic lateral sclerosis
Gabriel Pires, Urbano Nunes, Miguel Castelo‐Branco
Journal of Neuroscience Methods (2010) Vol. 195, Iss. 2, pp. 270-281
Closed Access | Times Cited: 131
Target Selection With Hybrid Feature for BCI-Based 2-D Cursor Control
Jinyi Long, Yuanqing Li, Tianyou Yu, et al.
IEEE Transactions on Biomedical Engineering (2011) Vol. 59, Iss. 1, pp. 132-140
Closed Access | Times Cited: 122
Electroencephalogram and Physiological Signal Analysis for Assessing Flow in Games
Riccardo Berta, Francesco Bellotti, A. De Gloria, et al.
IEEE Transactions on Computational Intelligence and AI in Games (2013) Vol. 5, Iss. 2, pp. 164-175
Closed Access | Times Cited: 122
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