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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:

Automated Evaluation of Upper-Limb Motor Function Impairment Using Fugl-Meyer Assessment
Seung-Hee Lee, Yang‐Soo Lee, Jonghyun Kim
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 26, Iss. 1, pp. 125-134
Closed Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment
Pablo Maceira-Elvira, Traian Popa, Anne‐Christine Schmid, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 207
The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation
Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 7, pp. 1436-1448
Closed Access | Times Cited: 95
Remote Assessments of Hand Function in Neurological Disorders: Systematic Review
Arpita Gopal, Wan‐Yu Hsu, Diane D. Allen, et al.
JMIR Rehabilitation and Assistive Technologies (2022) Vol. 9, Iss. 1, pp. e33157-e33157
Open Access | Times Cited: 38
Muscle synergies for evaluating upper limb in clinical applications: A systematic review
Kunkun Zhao, Zhisheng Zhang, Haiying Wen, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16202-e16202
Open Access | Times Cited: 24
Review of Automated Systems for Upper Limbs Functional Assessment in Neurorehabilitation
Edwin Daniel Oña, Patricia Sánchez-Herrera-Baeza, Alberto Jardón, et al.
IEEE Access (2019) Vol. 7, pp. 32352-32367
Open Access | Times Cited: 57
Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task
Brandon Oubre, Jean‐François Daneault, Hee-Tae Jung, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 601-611
Open Access | Times Cited: 53
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review
Qingsong Ai, Zemin Liu, Wei Meng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 15, Iss. 4, pp. 2053-2063
Open Access | Times Cited: 47
Exoskeleton versus end-effector robot-assisted therapy for finger-hand motor recovery in stroke survivors: systematic review and meta-analysis
Lucrezia Moggio, Alessandro de Sire, Nicola Marotta, et al.
Topics in Stroke Rehabilitation (2021) Vol. 29, Iss. 8, pp. 539-550
Closed Access | Times Cited: 47
Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions
Faisal Amin, Asim Waris, Javaid Iqbal, et al.
Results in Engineering (2023) Vol. 21, pp. 101725-101725
Open Access | Times Cited: 17
A Wearable Human Motion Tracking Device Using Micro Flow Sensor Incorporating a Micro Accelerometer
Beiying Liu, Jun Chang Zhang, Rong Zhu
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 4, pp. 940-948
Closed Access | Times Cited: 50
Intra-Subject and Inter-Subject Movement Variability Quantified with Muscle Synergies in Upper-Limb Reaching Movements
Kunkun Zhao, Zhisheng Zhang, Haiying Wen, et al.
Biomimetics (2021) Vol. 6, Iss. 4, pp. 63-63
Open Access | Times Cited: 35
Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation
Jinyu Xu, Xin Xu, Xudong Guo, et al.
Journal of Parkinson s Disease (2025)
Open Access
Stroke patient rehabilitation: an analysis of the effects of perturbation training combined with hip unloading gait strategies
Senchao Fan, Yifei Ma, Yu Pan
Frontiers in Neurology (2025) Vol. 16
Open Access
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients
Shir Kashi, Ronit Feingold-Polak, Boaz Lerner, et al.
IEEE Transactions on Emerging Topics in Computing (2020) Vol. 9, Iss. 3, pp. 1234-1247
Open Access | Times Cited: 36
Neuromechanical Biomarkers for Robotic Neurorehabilitation
Florencia Garro, Michela Chiappalone, Stefano Buccelli, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 27
Dual‐tDCS combined with sensorimotor training promotes upper limb function in subacute stroke patients: A randomized, double‐blinded, sham‐controlled study
Chong Li, Yun Chen, Shuting Tu, et al.
CNS Neuroscience & Therapeutics (2023) Vol. 30, Iss. 4
Open Access | Times Cited: 12
Automatic Assessment of Upper Extremity Function and Mobile Application for Self-Administered Stroke Rehabilitation
Dong-Wook Kim, Ji Eun Park, Minjung Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 652-661
Open Access | Times Cited: 4
Cellphone-Based Automated Fugl-Meyer Assessment to Evaluate Upper Extremity Motor Function After Stroke
Xinyu Song, Shugeng Chen, Jie Jia, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 2186-2195
Closed Access | Times Cited: 30
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring
Naveen Kumar Mangal, Anil Kumar Tiwari
Computers in Biology and Medicine (2021) Vol. 132, pp. 104316-104316
Closed Access | Times Cited: 25
Poststroke Grasp Ability Assessment Using an Intelligent Data Glove Based on Action Research Arm Test: Development, Algorithms, and Experiments
Debeshi Dutta, Srinivasan Aruchamy, Soumen Mandal, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 2, pp. 945-954
Closed Access | Times Cited: 23
An Artificial Intelligence model for smart post-stroke assessment using wearable sensors
Najmeh Razfar, Rasha Kashef, Farah Mohammadi
Decision Analytics Journal (2023) Vol. 7, pp. 100218-100218
Open Access | Times Cited: 10
Automated Assessment of Movement Impairment in Huntington’s Disease
Mohamed Bennasar, Yulia Hicks, Susanne Clinch, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 10, pp. 2062-2069
Open Access | Times Cited: 29
Design of Virtual Guiding Tasks With Haptic Feedback for Assessing the Wrist Motor Function of Patients With Upper Motor Neuron Lesions
Xiaoyu Liu, Yuanjie Zhu, Hongqiang Huo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 984-994
Closed Access | Times Cited: 26
Quantification of Motor Function Post-Stroke Using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Lewis Formstone, Weiguang Huo, Samuel Wilson, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1158-1167
Open Access | Times Cited: 21
Quantitative Evaluation of Cerebellar Ataxia Through Automated Assessment of Upper Limb Movements
Ha Tran, Pubudu N. Pathirana, Malcolm Horne, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 1081-1091
Closed Access | Times Cited: 25
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