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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:

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

Showing 1-25 of 379 citing articles:

Brain computer interface: control signals review
Rabie Α. Ramadan, Athanasios V. Vasilakos
Neurocomputing (2016) Vol. 223, pp. 26-44
Closed Access | Times Cited: 504
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 341
EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks
Bradley J. Edelman, Bryan Baxter, Bin He
IEEE Transactions on Biomedical Engineering (2015) Vol. 63, Iss. 1, pp. 4-14
Open Access | Times Cited: 335
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations
Peiyang Li, Huan Liu, Yajing Si, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 10, pp. 2869-2881
Closed Access | Times Cited: 314
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
Muhammad Jawad Khan, Melissa Jiyoun Hong, Keum‐Shik Hong
Frontiers in Human Neuroscience (2014) Vol. 8
Open Access | Times Cited: 274
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
Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Keum‐Shik Hong, Muhammad Jawad Khan
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 237
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Keum‐Shik Hong, Muhammad Jawad Khan, Melissa Jiyoun Hong
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 237
Control of a Wheelchair in an Indoor Environment Based on a Brain–Computer Interface and Automated Navigation
Rui Zhang, Yuanqing Li, Yongyong Yan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 24, Iss. 1, pp. 128-139
Closed Access | Times Cited: 234
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
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
Muhammad Jawad Khan, Keum‐Shik Hong
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 210
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
A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control
Jiaxin Ma, Yu Zhang, Andrzej Cichocki, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 62, Iss. 3, pp. 876-889
Closed Access | Times Cited: 189
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
Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials
Keun-Tae Kim, Heung‐Il Suk, Seong‐Whan Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 26, Iss. 3, pp. 654-665
Closed Access | Times Cited: 158
A new hybrid BCI paradigm based on P300 and SSVEP
Minjue Wang, Ian Daly, Brendan Z. Allison, et al.
Journal of Neuroscience Methods (2014) Vol. 244, pp. 16-25
Closed Access | Times Cited: 133
Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI
Haiqiang Wang, Yu Zhang, Nicholas R. Waytowich, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 24, Iss. 5, pp. 532-541
Closed Access | Times Cited: 130
A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control
Lei Cao, Jie Li, Hongfei Ji, et al.
Journal of Neuroscience Methods (2014) Vol. 229, pp. 33-43
Closed Access | Times Cited: 127
A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations
Z.T. Al-Qaysi, B. B. Zaidan, A. A. Zaidan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 164, pp. 221-237
Closed Access | Times Cited: 126
An asynchronous wheelchair control by hybrid EEG–EOG brain–computer interface
Hongtao Wang, Yuanqing Li, Jinyi Long, et al.
Cognitive Neurodynamics (2014) Vol. 8, Iss. 5, pp. 399-409
Open Access | Times Cited: 123
The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential
Teng Ma, Hui Li, Lili Deng, et al.
Journal of Neural Engineering (2017) Vol. 14, Iss. 2, pp. 026015-026015
Closed Access | Times Cited: 119
A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
Inchul Choi, Ilsun Rhiu, Yushin Lee, et al.
PLoS ONE (2017) Vol. 12, Iss. 4, pp. e0176674-e0176674
Open Access | Times Cited: 114
Self-Paced Operation of a Wheelchair Based on a Hybrid Brain-Computer Interface Combining Motor Imagery and P300 Potential
Yang Yu, Zongtan Zhou, Yadong Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 25, Iss. 12, pp. 2516-2526
Closed Access | Times Cited: 114
A Hybrid Brain–Computer Interface Based on the Fusion of P300 and SSVEP Scores
Erwei Yin, Timothy Zeyl, Rami Saab, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 23, Iss. 4, pp. 693-701
Closed Access | Times Cited: 110
Brain–Computer Interface after Nervous System Injury
Alexis Burns, Hojjat Adeli, John A. Buford
The Neuroscientist (2014) Vol. 20, Iss. 6, pp. 639-651
Closed Access | Times Cited: 110
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