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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 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

Showing 1-25 of 36 citing articles:

A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot—methodology and usability testing
Ronit Feingold-Polak, Oren Barzel, Shelly Levy‐Tzedek
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 50
AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 7
Socially Assistive Robot for Stroke Rehabilitation: A Long-Term in-the-Wild Pilot Randomized Controlled Trial
Ronit Feingold-Polak, Oren Barzel, Shelly Levy‐Tzedek
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1616-1626
Open Access | Times Cited: 6
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection
Ying Liufu, Long Jin, Jinqiang Xu, et al.
IEEE Transactions on Emerging Topics in Computing (2021), pp. 1-1
Closed Access | Times Cited: 35
Human activity recognition of children with wearable devices using LightGBM machine learning
Gábor Csizmadia, Krisztina Liszkai-Peres, Bence Ferdinandy, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
A novel image-based machine learning model with superior accuracy and predictability for knee arthroplasty loosening detection and clinical decision making
Lawrence Chun‐Man Lau, Elvis Chun‐Sing Chui, Gene Chi Wai Man, et al.
Journal of Orthopaedic Translation (2022) Vol. 36, pp. 177-183
Open Access | Times Cited: 22
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 33, Iss. 2, pp. 545-569
Open Access | Times Cited: 11
Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study
Ori Ben Yehuda, Edward Itelman, Adva Vaisman, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e48595-e48595
Open Access | Times Cited: 3
Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review
Xin Wang, Jie Zhang, Sheng Quan Xie, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 7432-7447
Open Access | Times Cited: 2
Lipid level alteration in human and cellular models of alpha synuclein mutations
Hila Avisar, Cristina Guardia‐Laguarta, Matthew Surface, et al.
npj Parkinson s Disease (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Machine learning applied to healthcare: a conceptual review
Myller Augusto Santos Gomes, Jo�ão Luiz Kovaleski, Regina Pagani, et al.
Journal of Medical Engineering & Technology (2022) Vol. 46, Iss. 7, pp. 608-616
Closed Access | Times Cited: 11
Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept
Gustavo José Luvizutto, Gabrielly Fernanda Silva, Monalisa Resende Nascimento, et al.
Topics in Stroke Rehabilitation (2021) Vol. 29, Iss. 5, pp. 331-346
Closed Access | Times Cited: 14
Proposal for a predictive model for healthcare based on big data analytics and technology transfer functionalities
Myller Augusto Santos Gomes, Jo�ão Luiz Kovaleski, Regina Pagani, et al.
Technology Analysis and Strategic Management (2024), pp. 1-17
Closed Access | Times Cited: 1
TECHNOLOGY TRANSFER IN HEALTHCARE: LEVERAGING PREDICTIVE MODELS TO OPTIMIZE MEDICAL OUTCOMES
Myller Augusto Santos Gomes, Vander Luiz da Silva, Jorge Vinícius Sanches Carlos Rodrigues
International Journal of Professional Business Review (2024) Vol. 9, Iss. 12, pp. e05168-e05168
Open Access | Times Cited: 1
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning
Fang Wang, Yu‐Chu Tian, Xueying Zhang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2020) Vol. 6, Iss. 1, pp. 113-123
Closed Access | Times Cited: 11
An Intelligent Motor Assessment Method Utilizing a Bi-Lateral Virtual-Reality Task for Stroke Rehabilitation on Upper Extremity
Chia‐Ru Chung, Mu‐Chun Su, Si-Huei Lee, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-11
Open Access | Times Cited: 7
Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine
Isaac Kofi Nti, Owusu Nyarko‐Boateng, Justice Aning, et al.
Journal of ICT Research and Applications (2023) Vol. 16, Iss. 3, pp. 314-333
Open Access | Times Cited: 3
Online detection of compensatory strategies in human movement with supervised classification: a pilot study
Neha Das, Satoshi Endo, Sabrina Patel, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 3
The effects of an object’s height and weight on force calibration and kinematics when post-stroke and healthy individuals reach and grasp
Ronit Feingold-Polak, Anna Yelkin, Shmil Edelman, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data
Jong Taek Lee, Eunhee Park, Tae‐Du Jung
Journal of Personalized Medicine (2021) Vol. 11, Iss. 11, pp. 1080-1080
Open Access | Times Cited: 7
Hierarchy in Algorithm-Based Feedback to Patients Working With a Robotic Rehabilitation System: Toward User-Experience Optimization
Daphne Fruchter, Ronit Feingold-Polak, Sigal Berman, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 5, pp. 907-917
Open Access | Times Cited: 5
Automating provision of feedback to stroke patients with and without information on compensatory movements: A pilot study
Daphne Fruchter, Ronit Feingold-Polak, Sigal Berman, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Grammatical Evolution-Based Feature Extraction for Hemiplegia Type Detection
Vasileios Christou, Ioannis G. Tsoulos, Alexandros Arjmand, et al.
Signals (2022) Vol. 3, Iss. 4, pp. 737-751
Open Access | Times Cited: 5
Gesture Recognition Method Based on Computer Vision and Surface Electromyography : Implementing Intention Recognition of the Healthy Side in the Hand Assessment Process
Chaojie Yang, Longhan Xie
(2024), pp. 663-668
Closed Access
Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science
Roni Barak Ventura, Kora Stewart Hughes, Oded Nov, et al.
JMIR Serious Games (2021) Vol. 10, Iss. 1, pp. e27597-e27597
Open Access | Times Cited: 4
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