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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:

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

Showing 1-25 of 397 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
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
High-speed spelling with a noninvasive brain–computer interface
Xiaogang Chen, Yijun Wang, Masaki Nakanishi, et al.
Proceedings of the National Academy of Sciences (2015) Vol. 112, Iss. 44
Open Access | Times Cited: 817
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis
Masaki Nakanishi, Yijun Wang, Xiaogang Chen, et al.
IEEE Transactions on Biomedical Engineering (2017) Vol. 65, Iss. 1, pp. 104-112
Open Access | Times Cited: 641
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
Carbon nanotubes for delivery of small molecule drugs
Bin Sheng Wong, Sia Lee Yoong, Anna Jagusiak, et al.
Advanced Drug Delivery Reviews (2013) Vol. 65, Iss. 15, pp. 1964-2015
Closed Access | Times Cited: 555
Visual and Auditory Brain–Computer Interfaces
Shangkai Gao, Yijun Wang, Xiaorong Gao, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 61, Iss. 5, pp. 1436-1447
Closed Access | Times Cited: 412
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
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
Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces
Yu Mike, Yu-Te Wang, Yijun Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2011) Vol. 20, Iss. 2, pp. 228-235
Closed Access | Times Cited: 274
A high-ITR SSVEP-based BCI speller
Xiaogang Chen, Zhikai Chen, Shangkai Gao, et al.
Brain-Computer Interfaces (2014) Vol. 1, Iss. 3-4, pp. 181-191
Closed Access | Times Cited: 262
Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
Muhammad Ahmed Khan, Rig Das, Helle K. Iversen, et al.
Computers in Biology and Medicine (2020) Vol. 123, pp. 103843-103843
Open Access | Times Cited: 187
Neural interfaces: Bridging the brain to the world beyond healthcare
Shumao Xu, Yang Liu, Hyun‐Jin Lee, et al.
Exploration (2024) Vol. 4, Iss. 5
Open Access | Times Cited: 22
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
SSVEP-based Bremen–BCI interface—boosting information transfer rates
Ivan Volosyak
Journal of Neural Engineering (2011) Vol. 8, Iss. 3, pp. 036020-036020
Closed Access | Times Cited: 221
Frequency and Phase Mixed Coding in SSVEP-Based Brain--Computer Interface
Chuan Jia, Xiaorong Gao, Bo Hong, et al.
IEEE Transactions on Biomedical Engineering (2010) Vol. 58, Iss. 1, pp. 200-206
Closed Access | Times Cited: 192
Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
Siuly Siuly, Yan Li
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2012) Vol. 20, Iss. 4, pp. 526-538
Closed Access | Times Cited: 181
Visual stimulus design for high-rate SSVEP BCI
Yibin Wang, Y.-T. Wang, Tzyy‐Ping Jung
Electronics Letters (2010) Vol. 46, Iss. 15, pp. 1057-1058
Closed Access | Times Cited: 178
Brain–computer interfaces
Jonathan R. Wolpaw
Handbook of clinical neurology (2013), pp. 67-74
Closed Access | Times Cited: 174
BCI Demographics II: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI?
Ivan Volosyak, Diana Valbuena, Thorsten Lüth, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2011) Vol. 19, Iss. 3, pp. 232-239
Closed Access | Times Cited: 167
Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces
Teng Cao, Feng Wan, Chi Man Wong, et al.
BioMedical Engineering OnLine (2014) Vol. 13, Iss. 1
Open Access | Times Cited: 161
Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm
Musa Mahmood, Deogratias Mzurikwao, Yun‐Soung Kim, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 9, pp. 412-422
Closed Access | Times Cited: 142
Multiple Frequencies Sequential Coding for SSVEP-Based Brain-Computer Interface
Yangsong Zhang, Peng Xu, Tiejun Liu, et al.
PLoS ONE (2012) Vol. 7, Iss. 3, pp. e29519-e29519
Open Access | Times Cited: 139
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