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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 Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation
Maria Alejandra Romero-Laiseca, Denis Delisle-Rodríguez, Vivianne Flávia Cardoso, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 4, pp. 988-996
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Progress in Brain Computer Interface: Challenges and Opportunities
Simanto Saha, Khondaker A. Mamun, Khawza I. Ahmed, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 92
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: 81
Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities
Hitesh Yadav, Surita Maini
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47003-47047
Open Access | Times Cited: 28
A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control
Natasha Padfield, Kenneth P. Camilleri, Tracey Camilleri, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5802-5802
Open Access | Times Cited: 37
Rehabilitation with brain-computer interface and upper limb motor function in ischemic stroke: A randomized controlled trial
Anxin Wang, Xue Tian, Di Jiang, et al.
Med (2024) Vol. 5, Iss. 6, pp. 559-569.e4
Closed Access | Times Cited: 7
EEG generation mechanism of lower limb active movement intention and its virtual reality induction enhancement: a preliminary study
Runlin Dong, Xiaodong Zhang, Hanzhe Li, et al.
Frontiers in Neuroscience (2024) Vol. 17
Open Access | Times Cited: 6
A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding
Jun Yang, Siheng Gao, Tao Shen
Entropy (2022) Vol. 24, Iss. 3, pp. 376-376
Open Access | Times Cited: 26
EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration
Denis Delisle-Rodríguez, Leticia Silva, Teodiano Bastos-Filho
Journal of Neural Engineering (2023) Vol. 20, Iss. 1, pp. 016047-016047
Closed Access | Times Cited: 14
Recognition of single upper limb motor imagery tasks from EEG using multi-branch fusion convolutional neural network
Rui Zhang, Yadi Chen, Zongxin Xu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 14
Impact of motor imagery‐based brain‐computer interface combined with virtual reality on enhancing attention, executive function, and lower‐limb function in stroke: A pilot study
Chunli Wan, Wenting Zhang, Yao Nie, et al.
PM&R (2025)
Closed Access
Multi-channel EEG-based BCI using regression and classification methods for attention training by serious game
Denis Delisle-Rodríguez, Henrique Luiz de Oliveira, Jade Carvalho da Silva, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104937-104937
Closed Access | Times Cited: 11
EEG motor imagery decoding: a framework for comparative analysis with channel attention mechanisms
Martin Wimpff, Leonardo Gizzi, Jan Zerfowski, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036020-036020
Open Access | Times Cited: 4
Lower Limb Exoskeleton Sensors: State-of-the-Art
Slávka Neťuková, Martin Bejtic, Christiane Malá, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9091-9091
Open Access | Times Cited: 17
Lower-limb kinematic reconstruction during pedaling tasks from EEG signals using Unscented Kalman filter
Cristian Felipe Blanco-Díaz, Cristian David Guerrero-Méndez, Denis Delisle-Rodríguez, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 7, pp. 867-877
Closed Access | Times Cited: 10
Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals
Cristian Felipe Blanco-Díaz, Cristian David Guerrero-Méndez, Denis Delisle-Rodríguez, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035003-035003
Closed Access | Times Cited: 3
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet
Javier V. Juan, Rubén Martínez, Eduardo Iáñez, et al.
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access | Times Cited: 3
Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
Wenjie Li, Haoyu Li, Xinlin Sun, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026038-026038
Open Access | Times Cited: 3
Global Cortical Network Distinguishes Motor Imagination of the Left and Right Foot
Chun‐Ren Phang, Li‐Wei Ko
IEEE Access (2020) Vol. 8, pp. 103734-103745
Open Access | Times Cited: 26
A Deep Learning Approach for Brain Computer Interaction-Motor Execution EEG Signal Classification
Nesma E. ElSayed, A. S. Tolba, M. Z. Rashad, et al.
IEEE Access (2021) Vol. 9, pp. 101513-101529
Open Access | Times Cited: 22
Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain–computer interfaces
Cili Zuo, Jing Jin, Ren Xu, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 2, pp. 026018-026018
Closed Access | Times Cited: 21
Visual‐Electrotactile Stimulation Feedback to Improve Immersive Brain‐Computer Interface Based on Hand Motor Imagery
David Achanccaray, Shin‐Ichi Izumi, Mitsuhiro Hayashibe
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 21
Review of Closed-Loop Brain–Machine Interface Systems From a Control Perspective
Hongguang Pan, Haoqian Song, Qi Zhang, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 5, pp. 877-893
Closed Access | Times Cited: 14
Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface
Kun Wang, Feifan Tian, Minpeng Xu, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1556-1556
Open Access | Times Cited: 14
Unraveling Transformative Effects after tDCS and BCI Intervention in Chronic Post-Stroke Patient Rehabilitation—An Alternative Treatment Design Study
Jéssica P. S. Lima, Leticia Silva, Denis Delisle-Rodríguez, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9302-9302
Open Access | Times Cited: 8
Integrated Gait Triggered Mixed Reality and Neurophysiological Monitoring as a Framework for Next-Generation Ambulatory Stroke Rehabilitation
Li‐Wei Ko, Cory Stevenson, Wei-Chiao Chang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2435-2444
Open Access | Times Cited: 18
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