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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 Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
Kai Keng Ang, Karen Sui Geok Chua, Kok Soon Phua, et al.
Clinical EEG and Neuroscience (2014) Vol. 46, Iss. 4, pp. 310-320
Closed Access | Times Cited: 474

Showing 1-25 of 474 citing articles:

A review of feature selection methods in medical applications
Beatriz Remeseiro, Verónica Bolón‐Canedo
Computers in Biology and Medicine (2019) Vol. 112, pp. 103375-103375
Closed Access | Times Cited: 659
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Mikhail Lebedev, Miguel A. L. Nicolelis
Physiological Reviews (2017) Vol. 97, Iss. 2, pp. 767-837
Closed Access | Times Cited: 550
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
Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis
María A. Cervera, Surjo R. Soekadar, Junichi Ushiba, et al.
Annals of Clinical and Translational Neurology (2018) Vol. 5, Iss. 5, pp. 651-663
Open Access | Times Cited: 390
Novel Stroke Therapeutics: Unraveling Stroke Pathophysiology and Its Impact on Clinical Treatments
Paul George, Gary K. Steinberg
Neuron (2015) Vol. 87, Iss. 2, pp. 297-309
Open Access | Times Cited: 363
Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
Alexander Frolov, О. А. Мокиенко, R. Kh. Lyukmanov, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 321
BCI for stroke rehabilitation: motor and beyond
Ravikiran Mane, Tushar Chouhan, Cuntai Guan
Journal of Neural Engineering (2020) Vol. 17, Iss. 4, pp. 041001-041001
Open Access | Times Cited: 313
Brain–machine interfaces in neurorehabilitation of stroke
Surjo R. Soekadar, Niels Birbaumer, Marc W. Slutzky, et al.
Neurobiology of Disease (2014) Vol. 83, pp. 172-179
Open Access | Times Cited: 306
Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke
Kai Keng Ang, Cuntai Guan, Kok Soon Phua, et al.
Frontiers in Neuroengineering (2014) Vol. 7
Open Access | Times Cited: 306
A decade retrospective of medical robotics research from 2010 to 2020
Pierre E. Dupont, Bradley J. Nelson, Michael Goldfarb, et al.
Science Robotics (2021) Vol. 6, Iss. 60
Open Access | Times Cited: 301
Contralesional Brain–Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors
David T. Bundy, Lauren Souders, Kelly Baranyai, et al.
Stroke (2017) Vol. 48, Iss. 7, pp. 1908-1915
Open Access | Times Cited: 191
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
Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke
Martina Coscia, Maximilian J. Wessel, Ujwal Chaudary, et al.
Brain (2019) Vol. 142, Iss. 8, pp. 2182-2197
Open Access | Times Cited: 179
Factors affecting post-stroke motor recovery: Implications on neurotherapy after brain injury
Ali Alawieh, Jing Zhao, Wuwei Feng
Behavioural Brain Research (2016) Vol. 340, pp. 94-101
Open Access | Times Cited: 169
Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation
Ruyi Foong, Kai Keng Ang, Chai Quek, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 3, pp. 786-795
Closed Access | Times Cited: 161
Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis
Zhongfei Bai, Kenneth N. K. Fong, Jiaqi Zhang, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 158
Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability
Rene Maura, Sebastián Rueda Parra, Richard E. Stevens, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 45
A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification
Hai Jia, Shiqi Yu, Shunjie Yin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1311-1320
Open Access | Times Cited: 44
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 44
Hand Rehabilitation Robotics on Poststroke Motor Recovery
Zan Yue, Xue Zhang, Jing Wang
Behavioural Neurology (2017) Vol. 2017, pp. 1-20
Open Access | Times Cited: 168
EEG-based BCI and video games: a progress report
Bojan Kerouš, Filip Škola, Fotis Liarokapis
Virtual Reality (2017) Vol. 22, Iss. 2, pp. 119-135
Closed Access | Times Cited: 167
Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors
Nikunj Bhagat, Anusha Venkatakrishnan, Berdakh Abibullaev, et al.
Frontiers in Neuroscience (2016) Vol. 10
Open Access | Times Cited: 156
Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation
Kai Keng Ang, Cuntai Guan, Kok Soon Phua, et al.
Archives of Physical Medicine and Rehabilitation (2015) Vol. 96, Iss. 3, pp. S79-S87
Closed Access | Times Cited: 139
Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report
Athanasios Vourvopoulos, Carolina Jorge, Rodolfo Abreu, et al.
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 138
Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke
Kai Keng Ang, Cuntai Guan
Proceedings of the IEEE (2015) Vol. 103, Iss. 6, pp. 944-953
Closed Access | Times Cited: 127
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