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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:

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

Showing 1-25 of 492 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
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
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
Performance of the Emotiv Epoc headset for P300-based applications
Matthieu Duvinage, T. Castermans, Mathieu Petieau, et al.
BioMedical Engineering OnLine (2013) Vol. 12, Iss. 1, pp. 56-56
Open Access | Times Cited: 294
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
A generic EEG artifact removal algorithm based on the multi-channel Wiener filter
Ben Somers, Tom Francart, Alexander Bertrand
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 036007-036007
Open Access | Times Cited: 248
EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
Madiha Tariq, Pavel M. Trivailo, Milan Simić
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 204
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
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
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
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability
Zhengqing Miao, Meirong Zhao, Xin Zhang, et al.
NeuroImage (2023) Vol. 276, pp. 120209-120209
Open Access | Times Cited: 44
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 25
MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces
Jing Jin, Ruitian Xu, Ian Daly, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5565-5576
Open Access | Times Cited: 16
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
Correcting robot mistakes in real time using EEG signals
Andrés F. Salazar-Gómez, Joseph DelPreto, Stephanie Gil, et al.
(2017)
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
Objective and Subjective Evaluation of Online Error Correction during P300-Based Spelling
Perrin Margaux, Emmanuel Maby, Sébastien Daligault, et al.
Advances in Human-Computer Interaction (2012) Vol. 2012, pp. 1-13
Open Access | Times Cited: 134
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
Intrinsic interactive reinforcement learning – Using error-related potentials for real world human-robot interaction
Su Kyoung Kim, Elsa Andrea Kirchner, Arne Stefes, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 129
A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition
Bongjae Choi, Sungho Jo
PLoS ONE (2013) Vol. 8, Iss. 9, pp. e74583-e74583
Open Access | Times Cited: 124
A review of rapid serial visual presentation-based brain–computer interfaces
Stephanie Lees, Natalie Dayan, Hubert Cecotti, et al.
Journal of Neural Engineering (2017) Vol. 15, Iss. 2, pp. 021001-021001
Open Access | Times Cited: 118
A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices
Mainak Jas, Eric B. Larson, Denis A. Engemann, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 117
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