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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:

Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson’s disease
Zachary Ripic, Joseph F. Signorile, Thomas M. Best, et al.
Journal of Biomechanics (2023) Vol. 155, pp. 111645-111645
Closed Access | Times Cited: 11

Showing 11 citing articles:

Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults
Brandon Schoenwether, Zachary Ripic, M. B. Nienhuis, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316119-e0316119
Open Access | Times Cited: 2
Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience
Paolo Bonato, Véronique Feipel, Giulia Corniani, et al.
Gait & Posture (2024) Vol. 113, pp. 191-203
Open Access | Times Cited: 7
A comparison of three-dimensional kinematics between markerless and marker-based motion capture in overground gait
Zachary Ripic, M. B. Nienhuis, Joseph F. Signorile, et al.
Journal of Biomechanics (2023) Vol. 159, pp. 111793-111793
Closed Access | Times Cited: 15
Modern video-based gait and balance analysis
Jan Stenum, Zhaohui Yang, Ryan T. Roemmich
Elsevier eBooks (2025), pp. 219-239
Closed Access
A persistent homology gait analysis for Parkinson disease characterization
Luis Carlos Guayacán Chaparro, Yessica Castrillón, Francisco Javier Gómez, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107752-107752
Closed Access
Predicting elbow valgus torque from upper extremity baseball pitching kinematics using markerless motion capture
Adam R. Nebel, Abigail C. Schmitt
Sports Medicine and Health Science (2025)
Open Access
Clinical and brain functional correlates of instrumental rigidity measurement in Parkinson’s disease
Yoshikazu Nakano, Shigeki Hirano, Mitsuyoshi Tamura, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification
Laura Alejandra Espitia-Mora, Manuel Andrés Vélez-Guerrero, Mauro Callejas-Cuervo
Sensors (2024) Vol. 24, Iss. 11, pp. 3371-3371
Open Access | Times Cited: 3
Exploring the application and challenges of fNIRS technology in early detection of Parkinson’s disease
Pengsheng Hui, Yu Jiang, Jie Wang, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 2
Enhancing postural balance assessment through neural network-based lower-limb muscle strength evaluation with reduced markers
Jianhan Chen, Yueshan Huang, Runfeng Li, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-11
Closed Access
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje Slijepčević, et al.
Springer optimization and its applications (2024), pp. 91-148
Closed Access
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