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:

Mindfulness Improves Brain–Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band
James Stieger, Stephen A. Engel, Haiteng Jiang, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 1, pp. 426-438
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning
Sergio Pérez-Velasco, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1766-1775
Open Access | Times Cited: 44

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery
Hao Zhu, Dylan Forenzo, Bin He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2283-2291
Open Access | Times Cited: 39

Benefits of deep learning classification of continuous noninvasive brain–computer interface control
James Stieger, Stephen A. Engel, Daniel Suma, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046082-046082
Open Access | Times Cited: 47

Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces
Nikki Leeuwis, Alissa Paas, Maryam Alimardani
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 35

Continuous sensorimotor rhythm based brain computer interface learning in a large population
James Stieger, Stephen A. Engel, Bin He
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 35

Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values
Sergio Pérez-Velasco, Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 246, pp. 108048-108048
Open Access | Times Cited: 4

Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4

Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus
Shangen Zhang, Xiaorong Gao, Xiaogang Chen
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 16

Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface
Dylan Forenzo, Hao Zhu, J.G. Shanahan, et al.
PNAS Nexus (2024) Vol. 3, Iss. 4
Open Access | Times Cited: 3

Continuous shared control of a mobile robot with brain–computer interface and autonomous navigation for daily assistance
Baoguo Xu, Deping Liu, Muhui Xue, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 22, pp. 3-16
Open Access | Times Cited: 8

Cross-Subject Motor Imagery Decoding by Transfer Learning of Tactile ERD
Yucun Zhong, Lin Yao, Gang Pan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 662-671
Open Access | Times Cited: 2

Transcutaneous Electrical Spinal Cord Stimulation Promotes Focal Sensorimotor Activation that Accelerates Brain-Computer Interface Skill Learning
Hussein Alawieh, Deland Hu Liu, Jonathan Madera, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

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

Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression
Maryam Alimardani, Diana-Eliza Gherman
(2022), pp. 1-7
Closed Access | Times Cited: 10

Competing at the Cybathlon championship for people with disabilities: long-term motor imagery brain–computer interface training of a cybathlete who has tetraplegia
Attila Korik, Karl McCreadie, Niall McShane, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 10

On the feasibility of simple brain-computer interface systems for enabling children with severe physical disabilities to explore independent movement
Erica D. Floreani, Danette Rowley, Dion Kelly, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 10

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning
Xiyuan Jiang, Emily Lopez, James Stieger, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 13

Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
Haiteng Jiang, James Stieger, Mary Jo Kreitzer, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13

Decoding Subject-Driven Cognitive States from EEG Signals for Cognitive Brain–Computer Interface
Dingyong Huang, Yingjie Wang, Liangwei Fan, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 498-498
Open Access | Times Cited: 1

Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface
Qing Zhou, Ruidong Cheng, Lin Yao, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7

Breaching Subjects’ Thoughts Privacy: A Study with Visual Stimuli and Brain-Computer Interfaces
Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 9

Integrating Simultaneous Motor Imagery and Spatial Attention for EEG-BCI Control
Dylan Forenzo, Yixuan Liu, Jeehyun Kim, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 1, pp. 282-294
Open Access | Times Cited: 3

[Execution, assessment and improvement methods of motor imagery for brain-computer interface].
Guixin Tian, Junjie Chen, Peng Ding, et al.
PubMed (2021) Vol. 38, Iss. 3, pp. 434-446
Closed Access | Times Cited: 6

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