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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:

Control of an Electrical Prosthesis With an SSVEP-Based BCI
Gernot Müller-Putz, G. Pfurtscheller
IEEE Transactions on Biomedical Engineering (2007) Vol. 55, Iss. 1, pp. 361-364
Closed Access | Times Cited: 574

Showing 1-25 of 574 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
A comprehensive review of EEG-based brain–computer interface paradigms
Reza Abiri, Soheil Borhani, Eric W. Sellers, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 1, pp. 011001-011001
Closed Access | Times Cited: 753
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
Brain-Computer Interfaces in Medicine
Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw
Mayo Clinic Proceedings (2012) Vol. 87, Iss. 3, pp. 268-279
Open Access | Times Cited: 624
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
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
Natasha Padfield, Jaime Zabalza, Huimin Zhao, et al.
Sensors (2019) Vol. 19, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 469
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
Quo vadis artificial intelligence?
Yuchen Jiang, Xiang Li, Hao Luo, et al.
Discover Artificial Intelligence (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 312
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, et al.
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 289
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
Self-Paced Operation of an SSVEP-Based Orthosis With and Without an Imagery-Based “Brain Switch:” A Feasibility Study Towards a Hybrid BCI
Gert Pfurtscheller, Teodoro Solis‐Escalante, Rupert Ortner, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2010) Vol. 18, Iss. 4, pp. 409-414
Closed Access | Times Cited: 270
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
Trends in EEG-BCI for daily-life: Requirements for artifact removal
Jesús Minguillón, M. A. López-Gordo, Francisco Pelayo
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 407-418
Closed Access | Times Cited: 264
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
A lower limb exoskeleton control system based on steady state visual evoked potentials
No-Sang Kwak, Klaus‐Robert Müller, Seong‐Whan Lee
Journal of Neural Engineering (2015) Vol. 12, Iss. 5, pp. 056009-056009
Closed Access | Times Cited: 211
Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms
Bin He, Bryan Baxter, Bradley J. Edelman, et al.
Proceedings of the IEEE (2015) Vol. 103, Iss. 6, pp. 907-925
Open Access | Times Cited: 207
Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review
Mahyar Hamedi, Sh-Hussain Salleh, Alias Mohd Noor
Neural Computation (2016) Vol. 28, Iss. 6, pp. 999-1041
Closed Access | Times Cited: 199
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir F. Al-Bakri, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 183
A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
Xiangxin Li, Oluwarotimi Williams Samuel, Xu Zhang, et al.
Journal of NeuroEngineering and Rehabilitation (2017) Vol. 14, Iss. 1
Open Access | Times Cited: 173
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2120-2145
Open Access | Times Cited: 17
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
Rehabilitation with Brain-Computer Interface Systems
G. Pfurtscheller, Gernot Müller-Putz, Reinhold Scherer, et al.
Computer (2008) Vol. 41, Iss. 10, pp. 58-65
Closed Access | Times Cited: 212
Brain-Computer Interface in Stroke: A Review of Progress
Stefano Silvoni, Ander Ramos‐Murguialday, Marianna Cavinato, et al.
Clinical EEG and Neuroscience (2011) Vol. 42, Iss. 4, pp. 245-252
Closed Access | Times Cited: 211
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