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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:

Kinect-based assessment of proximal arm non-use after a stroke
Karima Bakhti, Isabelle Laffont, Makii Muthalib, et al.
Journal of NeuroEngineering and Rehabilitation (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
Winnie W. T. Lam, Yuk Ming Tang, Kenneth N. K. Fong
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 65
Development of a novel machine learning-based approach for brain function assessment and integrated software solution
Jing Qu, Lizhen Cui, Leyi Wei, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102461-102461
Closed Access | Times Cited: 9
Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms
Siqi Cai, Guofeng Li, Xiaoya Zhang, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 43
Impairment and Compensation in Dexterous Upper-Limb Function After Stroke. From the Direct Consequences of Pyramidal Tract Lesions to Behavioral Involvement of Both Upper-Limbs in Daily Activities
Agnès Roby-Brami, Nathanaël Jarrassé, Ross Parry
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 34
Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors
Claudia Ferraris, Verônica Cimolin, Luca Vismara, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5945-5945
Open Access | Times Cited: 33
sEMG-Based Trunk Compensation Detection in Rehabilitation Training
Ke Ma, Yan Chen, Xiaoya Zhang, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 38
Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients
Alessandro Scano, Franco Molteni, Lorenzo Molinari Tosatti
Sensors (2019) Vol. 19, Iss. 5, pp. 1224-1224
Open Access | Times Cited: 30
Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching
Germain Faity, Denis Mottet, Jérôme Froger
Sensors (2022) Vol. 22, Iss. 7, pp. 2735-2735
Open Access | Times Cited: 16
Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review
Xiaoyi Wang, Yan Fu, Bing Ye, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 6, pp. e34307-e34307
Open Access | Times Cited: 16
Human Cinematic Capture and Movement System Through Kinect: A Detailed and Innovative Review
Deyby Huamanchahua, Jhon Rodrigo Ortiz-Zacarias, Yossef Rojas-Tapara, et al.
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2022), pp. 1-7
Closed Access | Times Cited: 16
A neuroergonomic approach to assessing motor performance in stroke patients using fNIRS and behavioral data
Lingguo Bu, Jing Qu, Lei Zhao, et al.
Applied Ergonomics (2023) Vol. 109, pp. 103979-103979
Closed Access | Times Cited: 8
Error Augmentation in Immersive Virtual Reality for Bimanual Upper-Limb Rehabilitation in Individuals With and Without Hemiplegic Cerebral Palsy
Leia C Shum, Bulmaro A. Valdés, Nicola J. Hodges, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 2, pp. 541-549
Closed Access | Times Cited: 25
An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning
Li Chenguang, Cheng Long, Hongjun Yang, et al.
Cybernetics & Systems (2020) Vol. 52, Iss. 1, pp. 3-25
Closed Access | Times Cited: 22
A Data-Driven Investigation on Surface Electromyography Based Clinical Assessment in Chronic Stroke
Fuqiang Ye, Bibo Yang, Chingyi Nam, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 19
Recovering arm function in chronic stroke patients using combined anodal HD-tDCS and virtual reality therapy (ReArm): a study protocol for a randomized controlled trial
Camille Muller, Makii Muthalib, Denis Mottet, et al.
Trials (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 18
Dissociating Sensorimotor Recovery and Compensation During Exoskeleton Training Following Stroke
Nadir Nibras, Chang Liu, Denis Mottet, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 15
Kinect-Assisted Performance-Sensitive Upper Limb Exercise Platform for Post-stroke Survivors
Adyasha Dash, Anand Yadav, Anand Chauhan, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 16
Rating scales and biomarkers for CAG-repeat spinocerebellar ataxias: Implications for therapy development
Meng‐Ling Chen, Chih‐Chun Lin, Liana S. Rosenthal, et al.
Journal of the Neurological Sciences (2021) Vol. 424, pp. 117417-117417
Open Access | Times Cited: 13
sEMG-Based Detection of Compensation Caused by Fatigue During Rehabilitation Therapy: A Pilot Study
Shuangyuan Huang, Siqi Cai, Guofeng Li, et al.
IEEE Access (2019) Vol. 7, pp. 127055-127065
Open Access | Times Cited: 15
Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal
Takeru Honda, Hiroshi Mitoma, Hirotaka Yoshida, et al.
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 14
Kinect Controlled NAO Robot for Telerehabilitation
Md Assad-Uz-Zaman, Md Rasedul Islam, Mohammad Habibur Rahman, et al.
Journal of Intelligent Systems (2020) Vol. 30, Iss. 1, pp. 224-239
Open Access | Times Cited: 14
Rehabilitation Games in Real-World Clinical Settings
Hee-Tae Jung, Taiwoo Park, Narges Mahyar, et al.
ACM Transactions on Computer-Human Interaction (2020) Vol. 27, Iss. 6, pp. 1-43
Closed Access | Times Cited: 14
Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching
Germain Faity, Denis Mottet, Jérôme Froger
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement
Giorgio Gnecco, Martina Fausto, Gabriele Romano, et al.
Intelligent Technologies for Interactive Entertainment (2024), pp. 96-106
Closed Access | Times Cited: 1
Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients
Cécile Muller, Germain Faity, Makii Muthalib, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1
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