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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:

Tactile Stimulation Improves Sensorimotor Rhythm-Based BCI Performance in Stroke Patients
Xiaokang Shu, Shugeng Chen, Jianjun Meng, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 7, pp. 1987-1995
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm
Jing Jin, Zongmei Chen, Ren Xu, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 67, Iss. 9, pp. 2585-2593
Closed Access | Times Cited: 99
Enhancing Brain–Computer Interface Performance by Incorporating Brain-to-Brain Coupling
Tianyu Jia, Jingyao Sun, Ciarán McGeady, et al.
Cyborg and Bionic Systems (2024) Vol. 5
Open Access | Times Cited: 8
Exploration on neurobiological mechanisms of the central–peripheral–central closed-loop rehabilitation
Jie Jia
Frontiers in Cellular Neuroscience (2022) Vol. 16
Open Access | Times Cited: 24
A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study
Phillip Demarest, Nabi Rustamov, James Swift, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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
Sensorimotor Rhythm-Based Brain–Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review
Jianghong Fu, Shugeng Chen, Jie Jia
Brain Sciences (2022) Vol. 13, Iss. 1, pp. 56-56
Open Access | Times Cited: 20
Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis
Maedeh Azadi Moghadam, Ali Maleki
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12
Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients
Yuan Liu, Zhuolan Gui, Yan De, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Vibrotactile-based brain switch via a virtual physical system model
Songwei Li, Jianjun Meng, Yuxuan Wei, et al.
Science China Technological Sciences (2025) Vol. 68, Iss. 4
Closed Access
The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia
Shugeng Chen, Xiaokang Shu, Hewei Wang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 25
Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory Activity
Sangin Park, Jihyeon Ha, Laehyun Kim
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1064-1074
Open Access | Times Cited: 9
Alpha Frequency Intervention by Electrical Stimulation to Improve Performance in Mu-Based BCI
Xiangzi Zhang, Yaqiu Guo, BoYu Gao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 6, pp. 1262-1270
Closed Access | Times Cited: 24
Challenges of neural interfaces for stroke motor rehabilitation
Carmen Vidaurre, Nerea Irastorza-Landa, Andrea Sarasola-Sanz, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
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
Closed-Loop Phase-Dependent Vibration Stimulation Improves Motor Imagery-Based Brain-Computer Interface Performance
Wenbin Zhang, Aiguo Song, Hong Zeng, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18
Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients
Tianyu Jia, Chong Li, Linhong Mo, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 6, pp. 3043-3052
Open Access | Times Cited: 12
The Impact of Electroacupuncture at Hegu, Shousanli, and Quchi Based on the Theory “Treating Flaccid Paralysis by Yangming Alone” on Stroke Patients’ EEG: A Pilot Study
Fei Zou, Yifang Lin, Shugeng Chen, et al.
Evidence-based Complementary and Alternative Medicine (2020) Vol. 2020, Iss. 1
Open Access | Times Cited: 15
MI brain-computer interfaces: A concise overview
Sumanta Kumar Mandal, M. Nazma B. J. Naskar
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105293-105293
Closed Access | Times Cited: 5
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
What External Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?
Alex J. Horowitz, Christoph Guger, Milena Korostenskaja
HCA Healthcare Journal of Medicine (2021) Vol. 2, Iss. 3
Open Access | Times Cited: 12
EEG-based vibrotactile evoked brain-computer interfaces system: A systematic review
Xiuyu Huang, Shuang Liang, Zengguang Li, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0269001-e0269001
Open Access | Times Cited: 8
Enhancing Motor Imagery Performance by Antiphasic 10 Hz Transcranial Alternating Current Stimulation
Lei Zhang, Long Chen, Zhongpeng Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2747-2757
Open Access | Times Cited: 4
An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation
Lei Cao, Shugeng Chen, Jie Jia, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 10
Enhancing Visual-Guided Motor Imagery Performance via Sensory Threshold Somatosensory Electrical Stimulation Training
Lei Zhang, Long Chen, Zhongpeng Wang, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 2, pp. 756-765
Open Access | Times Cited: 7
Tactile stimulation improves cognition, motor, and anxiety‐like behaviors and attenuates the Alzheimer's disease pathology in adult APPNL‐G‐F/NL‐G‐F mice
Shakhawat R. Hossain, Hadil Karem, Zahra Jafari, et al.
Synapse (2022) Vol. 77, Iss. 2
Open Access | Times Cited: 7
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