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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:

Prognostic and Monitory EEG-Biomarkers for BCI Upper-Limb Stroke Rehabilitation
Ravikiran Mane, Effie Chew, Kok Soon Phua, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 8, pp. 1654-1664
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

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: 319
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: 47
Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients
Abdelkader Nasreddine Belkacem, Nuraini Jamil, Jason Palmer, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 127
Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases
Dalin Yang, Yong‐Il Shin, Keum‐Shik Hong
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 63
Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges
Kostas Nizamis, Alkinoos Athanasiou, Sofia Almpani, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2084-2084
Open Access | Times Cited: 62
On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders
Abdelkader Nasreddine Belkacem, Nuraini Jamil, Sumayya Khalid, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 26
Effects of virtual reality‐based cognitive interventions on cognitive function and activity of daily living among stroke patients: Systematic review and meta‐analysis
Rose Lin, Jing Jing Su, Abu‐Odah Hammoda, et al.
Journal of Clinical Nursing (2024) Vol. 33, Iss. 3, pp. 1169-1184
Open Access | Times Cited: 9
Brain oscillatory activity as a biomarker of motor recovery in chronic stroke
Andreas M. Ray, Thiago C. Figueiredo, Eduardo López‐Larraz, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 5, pp. 1296-1308
Open Access | Times Cited: 56
Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework
Sadegh Arefnezhad, James Hamet, Arno Eichberger, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38
EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics
Zexuan Hao, Xiaoxue Zhai, Dandan Cheng, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 30
Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review
Ravikiran Mane, Zhenhua Wu, David Wang
Stroke and Vascular Neurology (2022) Vol. 7, Iss. 6, pp. 541-549
Open Access | Times Cited: 30
The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis
Amanda Vatinno, Annie N. Simpson, Viswanathan Ramakrishnan, et al.
Neurorehabilitation and neural repair (2022) Vol. 36, Iss. 4-5, pp. 255-268
Open Access | Times Cited: 29
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: 34
Personalized Brain–Computer Interface and Its Applications
Yixin Ma, Anmin Gong, Wenya Nan, et al.
Journal of Personalized Medicine (2022) Vol. 13, Iss. 1, pp. 46-46
Open Access | Times Cited: 28
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation
Ruoqing Zhang, Shanshan Feng, Nan Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4194-4203
Closed Access | Times Cited: 6
Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients
Minji Lee, Hyeong-Yeong Park, Wanjoo Park, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1767-1778
Open Access | Times Cited: 5
CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training
Ping-Ju Lin, Tianyu Jia, Chong Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1936-1943
Open Access | Times Cited: 31
Explainable Deep-Learning Prediction for Brain–Computer Interfaces Supported Lower Extremity Motor Gains Based on Multistate Fusion
Ping-Ju Lin, Wei Li, Xiaoxue Zhai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1546-1555
Open Access | Times Cited: 4
Neuromechanical Biomarkers for Robotic Neurorehabilitation
Florencia Garro, Michela Chiappalone, Stefano Buccelli, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 27
Theta but not beta power is positively associated with better explicit motor task learning
Joris van der Cruijsen, Mana Manoochehri, Zeb D. Jonker, et al.
NeuroImage (2021) Vol. 240, pp. 118373-118373
Open Access | Times Cited: 26
Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification
Liangsheng Zheng, Wei Feng, Yue Ma, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103634-103634
Closed Access | Times Cited: 19
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings
Ping-Ju Lin, Xiaoxue Zhai, Wei Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 6003-6011
Open Access | Times Cited: 18
Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery
Minji Lee, Yun‐Hee Kim, Seong‐Whan Lee
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 8, pp. 2604-2615
Closed Access | Times Cited: 17
Predicting response to non-invasive brain stimulation in post-stroke upper extremity motor impairment: the importance of neurophysiological and clinical biomarkers
Gabriel Barreto Antonino, André Fonseca, Rhayssa Muniz Albuquerque, et al.
Neurological Sciences (2025)
Closed Access
Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization
Yanyan Zheng, Senxiang Wu, Jie Chen, et al.
Bioengineering (2025) Vol. 12, Iss. 5, pp. 495-495
Open Access
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