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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:

Clothing condition does not affect meaningful clinical interpretation in markerless motion capture
Vajra T. Keller, Jereme Outerleys, Robert M. Kanko, et al.
Journal of Biomechanics (2022) Vol. 141, pp. 111182-111182
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

The accuracy of markerless motion capture combined with computer vision techniques for measuring running kinematics
Bas Van Hooren, Noah Pecasse, Kenneth Meijer, et al.
Scandinavian Journal of Medicine and Science in Sports (2023) Vol. 33, Iss. 6, pp. 966-978
Open Access | Times Cited: 38
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: 27
Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements
Ke Song, Todd J. Hullfish, Rodrigo Scattone Silva, et al.
Journal of Biomechanics (2023) Vol. 157, pp. 111751-111751
Open Access | Times Cited: 22
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
A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis
Xiaofeng Han, Diego Guffanti, Alberto Brunete
Sensors (2025) Vol. 25, Iss. 2, pp. 498-498
Open Access | Times Cited: 1
Repeatability and minimal detectable change including clothing effects for smartphone-based 3D markerless motion capture
Brian Horsak, Hans Kainz, Bernhard Dumphart
Journal of Biomechanics (2024) Vol. 175, pp. 112281-112281
Open Access | Times Cited: 7
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
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: 6
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
Evaluating the Reliability and Consistency of Treadmill Gait Analysis Using an RGB-D Camera: Effects of Assistance and No Assistance
Yuichiro Hosoi, Takahiko Sato, Akinori Nagano
Sensors (2025) Vol. 25, Iss. 2, pp. 451-451
Open Access
Personalized estimating metabolic equivalents by an integration system of marker-less motion capture, portable 3D scanner and calculation of mechanical work
Masami MATSUBARA, Yasunari Watanabe, Yu Tamura, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025)
Closed Access
Can BlazePose Accurately Assess Joint Angles in Outdoor Running Environments?
Hari Krishnan Srinivasan, Jaison Jacob Mathunny, Ashokkumar Devaraj, et al.
Biomedical Human Kinetics (2025) Vol. 17, Iss. 1, pp. 13-25
Open Access
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
Physiological and Biomechanical Characteristics of Olympic and World-Class Rowers—Case Study
Ricardo Cardoso, Manoel Rios, Filipa Cardoso, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4273-4273
Open Access | Times Cited: 4
Impact of Running Clothes on Accuracy of Smartphone-Based 2D Joint Kinematic Assessment During Treadmill Running Using OpenPifPaf
Nicolas Lambricht, Alexandre Englebert, Anh Phong Nguyen, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 934-934
Open Access
Agreement between a markerless and a marker-based motion capture systems for balance related quantities
Anaïs Chaumeil, Bhrigu Kumar Lahkar, Raphaël Dumas, et al.
Journal of Biomechanics (2024) Vol. 165, pp. 112018-112018
Open Access | Times Cited: 3
Assessment of Angular and Straight Linear Rowing Ergometers at Different Intensities of Exercise
Ricardo Cardoso, Manoel Rios, Pedro Fonseca, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5686-5686
Open Access | Times Cited: 2
Inter-Session Repeatability of Marker-Less Motion Capture of Treadmill Running Gait
Matthew F. Moran, Isabella C. Rogler, Justin C. Wager
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1702-1702
Open Access | Times Cited: 6
Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements
Ke Song, Todd J. Hullfish, Rodrigo Scattone Silva, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
A systematic review of instrumented assessments for upper limb function in cerebral palsy: current limitations and future directions
Julie Rozaire, Clémence Paquin, Lauren Henry, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1
Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat
Kyungun Bae, Seyun Lee, Se-Young Bak, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Principal component analysis of whole-body kinematics using markerless motion capture during static balance tasks
Kieran J. Eveleigh, Kevin J. Deluzio, Stephen H. Scott, et al.
Journal of Biomechanics (2023) Vol. 152, pp. 111556-111556
Closed Access | Times Cited: 4
Accuracy of a markerless system to estimate the position of taekwondo athletes in an official combat area
Luíza dos Santos Banks, Paulo Roberto Pereira Santiago, Ricardo da Silva Torres, et al.
International Journal of Performance Analysis in Sport (2024) Vol. 24, Iss. 5, pp. 479-494
Closed Access | Times Cited: 1
Evaluation of the Margin of Stability during Gait Initiation in Young Healthy Adults, Elderly Healthy Adults and Patients with Parkinson’s Disease: A Comparison of Force Plate and Markerless Motion Capture Systems
Arnaud Simonet, Paul Fourcade, Florent Loëte, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3322-3322
Open Access | Times Cited: 1
Validation of upper extremity kinematics using Markerless motion capture
R. Hansen, Sara L. Arena, Robin M. Queen
Biomedical Engineering Advances (2024) Vol. 7, pp. 100128-100128
Open Access | Times Cited: 1
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