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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:

Applications and limitations of current markerless motion capture methods for clinical gait biomechanics
Logan Wade, Laurie Needham, Polly McGuigan, et al.
PeerJ (2022) Vol. 10, pp. e12995-e12995
Open Access | Times Cited: 162

Showing 1-25 of 162 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
Healthcare applications of single camera markerless motion capture: a scoping review
Bradley Scott, Martin Seyres, Fraser Philp, et al.
PeerJ (2022) Vol. 10, pp. e13517-e13517
Open Access | Times Cited: 40
Concurrent validity of smartphone-based markerless motion capturing to quantify lower-limb joint kinematics in healthy and pathological gait
Brian Horsak, Anna Eichmann, Kerstin Lauer, et al.
Journal of Biomechanics (2023) Vol. 159, pp. 111801-111801
Open Access | Times Cited: 29
Comparison of kinematics between Theia markerless and conventional marker-based gait analysis in clinical patients
Tishya A.L. Wren, Pavel Isakov, Susan A. Rethlefsen
Gait & Posture (2023) Vol. 104, pp. 9-14
Closed Access | Times Cited: 26
Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis
Brian Horsak, Kerstin Prock, Philipp Krondorfer, et al.
Journal of Biomechanics (2024) Vol. 166, pp. 112049-112049
Open Access | Times Cited: 10
Digitalization in orthopaedics: a narrative review
Yasmin Youssef, Deana De Wet, David Alexander Back, et al.
Frontiers in Surgery (2024) Vol. 10
Open Access | Times Cited: 8
Alzheimer’s Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning
Mahmoud Seifallahi, Afsoon Hassani Mehraban, James E. Galvin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1589-1600
Open Access | Times Cited: 31
Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera
Takumi Ino, Mina Samukawa, Tomoya Ishida, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9799-9799
Open Access | Times Cited: 18
Differences between lower extremity joint running kinetics captured by marker-based and markerless systems were speed dependent
Hui Tang, Barry A. Munkasy, Li Li
Journal of sport and health science/Journal of Sport and Health Science (2024) Vol. 13, Iss. 4, pp. 569-578
Open Access | Times Cited: 6
Emerging Innovations in Preoperative Planning and Motion Analysis in Orthopedic Surgery
Julien Berhouet, Ramy Samargandi
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1321-1321
Open Access | Times Cited: 6
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: 5
The inter-trial and inter-session reliability of Theia3D-derived markerless gait analysis in tight versus loose clothing
Sylvia Augustine, Richard J. Foster, Gábor Barton, et al.
PeerJ (2025) Vol. 13, pp. e18613-e18613
Open Access
Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer
Lee Keidan, Rawan Ibrahim, Evyatar Ohayon, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Future directions in clinical application of gait, balance and mobility analysis
Rachel Mason, P Tait, Rosie Morris, et al.
Elsevier eBooks (2025), pp. 467-483
Closed Access
DeepLabCut custom-trained model and the refinement function for gait analysis
Giulia Panconi, Stefano Grasso, Sara Guarducci, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Quantifying performance in racket sports: The need for greater context
Julian Quah Jian Tan, Sam Robertson, John Komar
International Journal of Sports Science & Coaching (2025)
Closed Access
Artificial Intelligence-Enhanced 3d Gait Analysis with a Single Consumer-Grade Camera
Lingfei Guo, Richard Chang, Jie Wang, et al.
(2025)
Closed Access
Reliability and Validity of the Single-Camera Markerless Motion Capture System for Measuring Shoulder Range of Motion in Healthy Individuals and Patients with Adhesive Capsulitis: A Single-Center Study
Suji Lee, Unhyung Lee, Yohwan Kim, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1960-1960
Open Access
Multi‐joint approach for assessing lower limb proprioception: Reliability and precision in school‐aged children
Nina Jacobs, Maud van den Bogaart, Ann Hallemans, et al.
Annals of the New York Academy of Sciences (2025)
Open Access
Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose
Marion Mundt, Zachery Born, Molly Goldacre, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 78-78
Open Access | Times Cited: 22
AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization
Keenon Werling, Nicholas A. Bianco, Michael Raitor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Markerless motion capture provides accurate predictions of ground reaction forces across a range of movement tasks
Glen A. Lichtwark, Robert W. Schuster, Luke A. Kelly, et al.
Journal of Biomechanics (2024) Vol. 166, pp. 112051-112051
Open Access | Times Cited: 4
Markerless motion capture provides repeatable gait outcomes in patients with knee osteoarthritis
Jereme Outerleys, Anastasija Mihic, Vajra T. Keller, et al.
Journal of Biomechanics (2024) Vol. 168, pp. 112115-112115
Closed Access | Times Cited: 4
The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions
Paolo De Pasquale, Mirjam Bonanno, Sepehr Mojdehdehbaher, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 538-538
Open Access | Times Cited: 4
Marker Data Enhancement For Markerless Motion Capture
Antoine Falisse, Scott D. Uhlrich, Akshay Chaudhari, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
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