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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:

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

Showing 1-25 of 321 citing articles:

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Andrea Biasiucci, R. Leeb, Iñaki Iturrate, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 447
An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration
Alim Louis Benabid, Thomas Costecalde, Andrey Eliseyev, et al.
The Lancet Neurology (2019) Vol. 18, Iss. 12, pp. 1112-1122
Open Access | Times Cited: 309
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: 309
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 270
EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
Madiha Tariq, Pavel M. Trivailo, Milan Simić
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 203
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: 185
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: 160
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: 156
Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 150
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: 150
Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness
Jesús de Miguel-Fernández, Joan Lobo-Prat, Erik C. Prinsen, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 49
Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review
Congying He, Yuyi Chen, Chun-Ren Phang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 3830-3843
Closed Access | Times Cited: 48
Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a double-blinded, parallel-group, randomized controlled trial
Myeong Sun Kim, Hyun‐Ju Park, Il-Ho Kwon, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Real-Time EEG–EMG Human–Machine Interface-Based Control System for a Lower-Limb Exoskeleton
Susanna Gordleeva, Sergey Lobov, Nikita Grigorev, et al.
IEEE Access (2020) Vol. 8, pp. 84070-84081
Open Access | Times Cited: 126
Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing
Jing Jin, Chang Liu, Ian Daly, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 10, pp. 2153-2163
Open Access | Times Cited: 122
EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review
Maged S. Al-Quraishi, Irraivan Elamvazuthi, Siti Asmah Daud, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3342-3342
Open Access | Times Cited: 114
Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study
Marc Sebastián-Romagosa, Woosang Cho, Rupert Ortner, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 114
Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke
Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 67, Iss. 12, pp. 3339-3351
Closed Access | Times Cited: 110
Brain-machine interfaces for rehabilitation in stroke: A review
Eduardo López‐Larraz, Andrea Sarasola-Sanz, Nerea Irastorza-Landa, et al.
Neurorehabilitation (2018) Vol. 43, Iss. 1, pp. 77-97
Open Access | Times Cited: 105
An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
Xiaying Wang, Michael Hersche, Batuhan Tömekçe, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2020)
Open Access | Times Cited: 88
Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review
Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4754-4754
Open Access | Times Cited: 80
Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review
Arrigo Palumbo, Vera Gramigna, Barbara Calabrese, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6285-6285
Open Access | Times Cited: 79
Enhancing Brain Plasticity to Promote Stroke Recovery
Fan Su, Wendong Xu
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 70
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 031002-031002
Closed Access | Times Cited: 61
Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation
Siyu Yang, Ruobing Li, Hongtao Li, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 55
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