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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:

Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces
Ola Friman, Ivan Volosyak, Axel Gräser
IEEE Transactions on Biomedical Engineering (2007) Vol. 54, Iss. 4, pp. 742-750
Closed Access | Times Cited: 529

Showing 1-25 of 529 citing articles:

The steady-state visual evoked potential in vision research: A review
Anthony M. Norcia, Lawrence G. Appelbaum, Justin M. Ales, et al.
Journal of Vision (2015) Vol. 15, Iss. 6, pp. 4-4
Open Access | Times Cited: 1085
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
François Vialatte, Monique Maurice, Justin Dauwels, et al.
Progress in Neurobiology (2009) Vol. 90, Iss. 4, pp. 418-438
Closed Access | Times Cited: 993
An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method
Guangyu Bin, Xiaorong Gao, Yan Zheng, et al.
Journal of Neural Engineering (2009) Vol. 6, Iss. 4, pp. 046002-046002
Closed Access | Times Cited: 732
How many people are able to control a P300-based brain–computer interface (BCI)?
Christoph Guger, Shahab Daban, Eric W. Sellers, et al.
Neuroscience Letters (2009) Vol. 462, Iss. 1, pp. 94-98
Closed Access | Times Cited: 634
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface
Xiaogang Chen, Yijun Wang, Shangkai Gao, et al.
Journal of Neural Engineering (2015) Vol. 12, Iss. 4, pp. 046008-046008
Closed Access | Times Cited: 625
A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Danhua Zhu, Jordi Bieger, Gary Garcia‐Molina, et al.
Computational Intelligence and Neuroscience (2010) Vol. 2010, pp. 1-12
Open Access | Times Cited: 600
Brain-Computer Interfaces Based on Visual Evoked Potentials
Yijun Wang, Xiaorong Gao, Bo Hong, et al.
IEEE Engineering in Medicine and Biology Magazine (2008) Vol. 27, Iss. 5, pp. 64-71
Open Access | Times Cited: 397
A Brain Controlled Wheelchair to Navigate in Familiar Environments
Brice Rebsamen, Cuntai Guan, Haihong Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2010) Vol. 18, Iss. 6, pp. 590-598
Open Access | Times Cited: 395
A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control
Yuanqing Li, Jiahui Pan, Fei Wang, et al.
IEEE Transactions on Biomedical Engineering (2013) Vol. 60, Iss. 11, pp. 3156-3166
Closed Access | Times Cited: 379
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
BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?
Brendan Z. Allison, Thorsten Lüth, Diana Valbuena, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2010) Vol. 18, Iss. 2, pp. 107-116
Closed Access | Times Cited: 327
A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials
Masaki Nakanishi, Yijun Wang, Yu-Te Wang, et al.
PLoS ONE (2015) Vol. 10, Iss. 10, pp. e0140703-e0140703
Open Access | Times Cited: 311
A high-speed BCI based on code modulation VEP
Guangyu Bin, Xiaorong Gao, Yijun Wang, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 2, pp. 025015-025015
Closed Access | Times Cited: 290
Brain–Computer Interfaces: A Gentle Introduction
Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller
˜The œfrontiers collection (2009), pp. 1-27
Closed Access | Times Cited: 284
FREQUENCY RECOGNITION IN SSVEP-BASED BCI USING MULTISET CANONICAL CORRELATION ANALYSIS
Yu Zhang, Guoxu Zhou, Jing Jin, et al.
International Journal of Neural Systems (2013) Vol. 24, Iss. 04, pp. 1450013-1450013
Open Access | Times Cited: 265
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
L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI
Yu Zhang, Guoxu Zhou, Jing Jin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2013) Vol. 21, Iss. 6, pp. 887-896
Closed Access | Times Cited: 251
Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard
Han‐Jeong Hwang, Jeong‐Hwan Lim, Young–Jin Jung, et al.
Journal of Neuroscience Methods (2012) Vol. 208, Iss. 1, pp. 59-65
Closed Access | Times Cited: 242
A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller
Erwei Yin, Zongtan Zhou, Jun Jiang, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 62, Iss. 6, pp. 1447-1456
Closed Access | Times Cited: 228
Multivariate synchronization index for frequency recognition of SSVEP-based brain–computer interface
Yangsong Zhang, Peng Xu, Kaiwen Cheng, et al.
Journal of Neuroscience Methods (2013) Vol. 221, pp. 32-40
Closed Access | Times Cited: 216
BETA: A Large Benchmark Database Toward SSVEP-BCI Application
Bingchuan Liu, Xiaoshan Huang, Yijun Wang, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 141
Improving the Performance of Individually Calibrated SSVEP-BCI by Task- Discriminant Component Analysis
Bingchuan Liu, Xiaogang Chen, Nanlin Shi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1998-2007
Open Access | Times Cited: 118
EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7921-7933
Open Access | Times Cited: 95
A Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller
Hubert Cecotti
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2010) Vol. 18, Iss. 2, pp. 127-133
Open Access | Times Cited: 246
VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier
Guangyu Bin, Xiaorong Gao, Yijun Wang, et al.
IEEE Computational Intelligence Magazine (2009) Vol. 4, Iss. 4, pp. 22-26
Closed Access | Times Cited: 235
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