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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:

Effects of Continuous Kinaesthetic Feedback Based on Tendon Vibration on Motor Imagery BCI Performance
Michele Barsotti, Daniele Leonardis, Nicola Vanello, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 26, Iss. 1, pp. 105-114
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

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: 112
Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment
Filip Škola, Simona Tinková, Fotis Liarokapis
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 83
A review of user training methods in brain computer interfaces based on mental tasks
Aline Roc, Léa Pillette, Jelena Mladenović, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 1, pp. 011002-011002
Open Access | Times Cited: 80
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs
Shixin Ren, Weiqun Wang, Zeng‐Guang Hou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 8, pp. 1846-1855
Closed Access | Times Cited: 60
An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system
Zhongke Gao, Kaili Zhang, Weidong Dang, et al.
Knowledge-Based Systems (2018) Vol. 152, pp. 163-171
Closed Access | Times Cited: 57
A BCI-Based Vibrotactile Neurofeedback Training Improves Motor Cortical Excitability During Motor Imagery
Nikita Grigorev, Andrey Savosenkov, M. V. Lukoyanov, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1583-1592
Open Access | Times Cited: 36
Towards a mechanistic approach for the development of non‐invasive brain‐computer interfaces for motor rehabilitation
Natalie Mrachacz‐Kersting, Jaime Ibáñez, Dario Farina
The Journal of Physiology (2021) Vol. 599, Iss. 9, pp. 2361-2374
Open Access | Times Cited: 32
Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study
Xin Li, Lu Wang, Si Miao, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 21
Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training
Léa Pillette, Bernard N’Kaoua, Romain Sabau, et al.
Multimodal Technologies and Interaction (2021) Vol. 5, Iss. 3, pp. 12-12
Open Access | Times Cited: 20
Combining Statistical Analysis and Machine Learning for EEG Scalp Topograms Classification
Alexander Kuc, S.A. Korchagin, Vladimir Maksimenko, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 17
An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training
Xu Duan, Songyun Xie, Xinzhou Xie, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 13
Haptic Stimulation for Improving Training of a Motor Imagery BCI Developed for a Hand-Exoskeleton in Rehabilitation
Francesco Missiroli, Michele Barsotti, Daniele Leonardis, et al.
(2019), pp. 1127-1132
Closed Access | Times Cited: 14
Influence of virtual reality visual feedback on the illusion of movement induced by tendon vibration of wrist in healthy participants
Salomé Le Franc, Mathis Fleury, Mélanie Cogné, et al.
PLoS ONE (2020) Vol. 15, Iss. 11, pp. e0242416-e0242416
Open Access | Times Cited: 14
A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting
Andrea Valenti, Michele Barsotti, Davide Bacciu, et al.
Bioengineering (2021) Vol. 8, Iss. 2, pp. 21-21
Open Access | Times Cited: 12
Disentangling the percepts of illusory movement and sensory stimulation during tendon vibration in the EEG
Christoph Schneider, Renaud Marquis, Jane Jöhr, et al.
NeuroImage (2021) Vol. 241, pp. 118431-118431
Open Access | Times Cited: 11
EEG characteristics in “eyes-open” versus “eyes-closed” condition during vibrotactile stimulation
W.B. Li, Quan Xu, Yinbo Li, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102759-102759
Closed Access | Times Cited: 10
Effect of head-mounted virtual reality and vibrotactile feedback in ERD during motor imagery Brain–computer interface training
Diogo Batista, Gustavo Caetano, Mathis Fleury, et al.
Brain-Computer Interfaces (2023) Vol. 11, Iss. 1-2, pp. 11-20
Open Access | Times Cited: 3
Haptic and Visual Enhance-based Motor Imagery BCI for Rehabilitation Lower-Limb Exoskeleton
Shengcai Duan, Can Wang, Mengyao Li, et al.
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) (2019), pp. 2025-2030
Closed Access | Times Cited: 8
Influence of the visuo-proprioceptive illusion of movement and motor imagery of the wrist on EEG cortical excitability among healthy participants
Salomé Le Franc, Mathis Fleury, Camille Jeunet, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0256723-e0256723
Open Access | Times Cited: 7
Effect of a Click-Like Feedback on Motor Imagery in EEG-BCI and Eye-Tracking Hybrid Control for Telepresence
Alexey Petrushin, Jacopo Tessadori, Giacinto Barresi, et al.
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (2018), pp. 628-633
Closed Access | Times Cited: 7
Investigation of Characteristics of a Motor-Imagery Brain–Computer Interface with Quick-Response Tactile Feedback
M. V. Lukoyanov, Susanna Gordleeva, Nikita Grigorev, et al.
Moscow University Biological Sciences Bulletin (2018) Vol. 73, Iss. 4, pp. 222-228
Open Access | Times Cited: 6
Enhanced lower-limb motor imagery by kinesthetic illusion
Weizhen Wang, Bin Shi, Dong Wang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Manipulation of Body Sway Interpretation through Kinesthetic Illusion Induced by Ankles Vibration
Eifu Narita, Shota Nakayama, Mitsuki Manabe, et al.
(2023), pp. 114-120
Closed Access | Times Cited: 2
A comprehensive guide to BCI-based stroke neurorehabilitation interventions
Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Emmanuel Ortega-Robles, et al.
MethodsX (2023) Vol. 11, pp. 102452-102452
Open Access | Times Cited: 2
Movement-Free Virtual Reality Interface Using Kinesthetic Illusion Induced by Tendon Vibration
Satoshi Tanaka, Keigo Ushiyama, Akifumi Takahashi, et al.
Lecture notes in computer science (2020), pp. 316-324
Open Access | Times Cited: 4
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