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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:

Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, et al.
(2008), pp. 2390-2397
Closed Access | Times Cited: 1102

Showing 1-25 of 1102 citing articles:

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
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
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
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing
Arnaud Delorme, Tim Mullen, Christian Kothe, et al.
Computational Intelligence and Neuroscience (2011) Vol. 2011, pp. 1-12
Open Access | Times Cited: 599
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Siavash Sakhavi, Cuntai Guan, Shuicheng Yan
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 11, pp. 5619-5629
Open Access | Times Cited: 561
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
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Zhongke Gao, Xinmin Wang, Yuxuan Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 30, Iss. 9, pp. 2755-2763
Closed Access | Times Cited: 383
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
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
Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS
Christian Herff, Dominic Heger, Ole Fortmann, et al.
Frontiers in Human Neuroscience (2014) Vol. 7
Open Access | Times Cited: 317
An end-to-end deep learning approach to MI-EEG signal classification for BCIs
Hauke Dose, Jakob S. Møller, Helle K. Iversen, et al.
Expert Systems with Applications (2018) Vol. 114, pp. 532-542
Open Access | Times Cited: 308
Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
Oyeon Kwon, Min-Ho Lee, Cuntai Guan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 10, pp. 3839-3852
Open Access | Times Cited: 303
A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces
Kavitha P. Thomas, Cuntai Guan, Chiew Tong Lau, et al.
IEEE Transactions on Biomedical Engineering (2009) Vol. 56, Iss. 11, pp. 2730-2733
Closed Access | Times Cited: 295
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting
Haiping Lu, How‐Lung Eng, Cuntai Guan, et al.
IEEE Transactions on Biomedical Engineering (2010) Vol. 57, Iss. 12, pp. 2936-2946
Closed Access | Times Cited: 291
A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface
Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, et al.
Clinical EEG and Neuroscience (2011) Vol. 42, Iss. 4, pp. 253-258
Closed Access | Times Cited: 282
HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Guanghai Dai, Jun Zhou, Jiahui Huang, et al.
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016025-016025
Closed Access | Times Cited: 266
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
Sparse Bayesian Classification of EEG for Brain–Computer Interface
Yu Zhang, Guoxu Zhou, Jing Jin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 11, pp. 2256-2267
Closed Access | Times Cited: 256
Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface
Yu Zhang, Guoxu Zhou, Jing Jin, et al.
Journal of Neuroscience Methods (2015) Vol. 255, pp. 85-91
Closed Access | Times Cited: 250
A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification
Xinqiao Zhao, Hongmiao Zhang, Guilin Zhu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 2164-2177
Closed Access | Times Cited: 248
Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke
Bálint Várkuti, Cuntai Guan, Yaozhang Pan, et al.
Neurorehabilitation and neural repair (2012) Vol. 27, Iss. 1, pp. 53-62
Closed Access | Times Cited: 241
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
Heung‐Il Suk, Seong‐Whan Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012) Vol. 35, Iss. 2, pp. 286-299
Open Access | Times Cited: 238
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Kaishuo Zhang, Neethu Robinson, Seong‐Whan Lee, et al.
Neural Networks (2020) Vol. 136, pp. 1-10
Open Access | Times Cited: 209
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis
Dalin Zhang, Lina Yao, Kaixuan Chen, et al.
IEEE Signal Processing Letters (2019) Vol. 26, Iss. 5, pp. 715-719
Closed Access | Times Cited: 174
Machine-learning-based diagnostics of EEG pathology
Lukas Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, et al.
NeuroImage (2020) Vol. 220, pp. 117021-117021
Open Access | Times Cited: 174
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