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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.

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Showing 1-25 of 309 citing articles:

High performance communication by people with paralysis using an intracortical brain-computer interface
Chethan Pandarinath, Paul Nuyujukian, Christine H Blabe, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 489
An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user
Nadine Simon, Ivo Käthner, Carolin A. Ruf, et al.
Frontiers in Human Neuroscience (2015) Vol. 8
Open Access | Times Cited: 475
Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks
Jianjun Meng, Shuying Zhang, Angeliki Bekyo, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 421
Serotonin and Prefrontal Cortex Function: Neurons, Networks, and Circuits
M. Victoria Puig, Allan T. Gulledge
Molecular Neurobiology (2011) Vol. 44, Iss. 3, pp. 449-464
Open Access | Times Cited: 379
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
Marco Congedo, Alexandre Barachant, Rajendra Bhatia
Brain-Computer Interfaces (2017) Vol. 4, Iss. 3, pp. 155-174
Open Access | Times Cited: 361
Performance variation in motor imagery brain–computer interface: A brief review
Minkyu Ahn, Sung Chan Jun
Journal of Neuroscience Methods (2015) Vol. 243, pp. 103-110
Closed Access | Times Cited: 284
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design
Fabien Lotte, Florian Larrue, Christian Mühl
Frontiers in Human Neuroscience (2013) Vol. 7
Open Access | Times Cited: 267
Psychological predictors of SMR-BCI performance
Eva Maria Hammer, Sebastian Halder, Benjamin Blankertz, et al.
Biological Psychology (2011) Vol. 89, Iss. 1, pp. 80-86
Closed Access | Times Cited: 251
Laminar Analysis of Excitatory Local Circuits in Vibrissal Motor and Sensory Cortical Areas
Bryan M. Hooks, Samuel Andrew Hires, Ying-Xin Zhang, et al.
PLoS Biology (2011) Vol. 9, Iss. 1, pp. e1000572-e1000572
Open Access | Times Cited: 233
Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury
Jennifer L. Collinger, Michael L. Boninger, Tim M. Bruns, et al.
The Journal of Rehabilitation Research and Development (2013) Vol. 50, Iss. 2, pp. 145-145
Open Access | Times Cited: 228
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
Can We Predict Who Will Respond to Neurofeedback? A Review of the Inefficacy Problem and Existing Predictors for Successful EEG Neurofeedback Learning
Oren Alkoby, Amjad Abu-Rmileh, Oren Shriki, et al.
Neuroscience (2017) Vol. 378, pp. 155-164
Closed Access | Times Cited: 177
Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces
Carmen Vidaurre, Claudia Sannelli, Klaus‐Robert Müller, et al.
Neural Computation (2010) Vol. 23, Iss. 3, pp. 791-816
Closed Access | Times Cited: 196
A dynamic network perspective of chronic pain
Melissa A. Farmer, Marwan N. Baliki, A. Vania Apkarian
Neuroscience Letters (2012) Vol. 520, Iss. 2, pp. 197-203
Open Access | Times Cited: 194
Probing command following in patients with disorders of consciousness using a brain–computer interface
Dorothée Lulé, Quentin Noirhomme, Sonja C. Kleih, et al.
Clinical Neurophysiology (2012) Vol. 124, Iss. 1, pp. 101-106
Closed Access | Times Cited: 180
Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers
Jana Münßinger, Sebastian Halder, Sonja C. Kleih, et al.
Frontiers in Neuroscience (2010) Vol. 4
Open Access | Times Cited: 166
Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery
Laurent Bonnet, Fabien Lotte, Anatole Lécuyer
IEEE Transactions on Computational Intelligence and AI in Games (2013) Vol. 5, Iss. 2, pp. 185-198
Open Access | Times Cited: 166
Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns
Camille Jeunet, Bernard N’Kaoua, Sriram Subramanian, et al.
PLoS ONE (2015) Vol. 10, Iss. 12, pp. e0143962-e0143962
Open Access | Times Cited: 166
Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study
Camille Jeunet, Emilie Jahanpour, Fabien Lotte
Journal of Neural Engineering (2016) Vol. 13, Iss. 3, pp. 036024-036024
Open Access | Times Cited: 160
Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training
Matthias eWitte, Silvia Erika Kober, Manuel Ninaus, et al.
Frontiers in Human Neuroscience (2013) Vol. 7
Open Access | Times Cited: 157
Affected Anatomical Rich Club and Structural–Functional Coupling in Young Offspring of Schizophrenia and Bipolar Disorder Patients
Guusje Collin, Lianne H. Scholtens, René S. Kahn, et al.
Biological Psychiatry (2017) Vol. 82, Iss. 10, pp. 746-755
Closed Access | Times Cited: 144
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
Martin Spüler, Michael Bensch, Sonja C. Kleih, et al.
Clinical Neurophysiology (2012) Vol. 123, Iss. 7, pp. 1328-1337
Closed Access | Times Cited: 139
P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls
Lynn M. McCane, Susan M. Heckman, Dennis J. McFarland, et al.
Clinical Neurophysiology (2015) Vol. 126, Iss. 11, pp. 2124-2131
Open Access | Times Cited: 137
A systematic review of the psychological factors that influence neurofeedback learning outcomes
Kathrin Cohen Kadosh, Graham Staunton
NeuroImage (2018) Vol. 185, pp. 545-555
Closed Access | Times Cited: 133
Does Recent Research on Adolescent Brain Development Inform the Mature Minor Doctrine?
Laurence Steinberg
The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine (2013) Vol. 38, Iss. 3, pp. 256-267
Closed Access | Times Cited: 128
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