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:

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

Showing 1-25 of 38 citing articles:

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: 32

Validation of OpenCap: A low-cost markerless motion capture system for lower-extremity kinematics during return-to-sport tasks
Jeffrey A. Turner, Courtney R. Chaaban, Darin A. Padua
Journal of Biomechanics (2024) Vol. 171, pp. 112200-112200
Closed Access | Times Cited: 9

Feasibility of OpenPose markerless motion analysis in a real athletics competition
Neil J. Cronin, Josh Walker, Catherine B. Tucker, et al.
Frontiers in Sports and Active Living (2024) Vol. 5
Open Access | Times Cited: 6

Motion Capture for Sporting Events Based on Graph Convolutional Neural Networks and Single Target Pose Estimation Algorithms
Chengpeng Duan, Bingliang Hu, Wei Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7611-7611
Open Access | Times Cited: 14

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

Assessing Spatiotemporal Behavior of Human Gait: A Comparative Study Between Low-Cost Smartphone-Based Mocap and OptiTrack Systems
Bryan Castillo, Carlos A.M. Riascos, Jean Michel Franco, et al.
Experimental Techniques (2024)
Open Access | Times Cited: 4

A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: A narrative review
Federico Roggio, Bruno Trovato, Martina Sortino, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e39977-e39977
Closed Access | Times Cited: 4

Evaluation of a smartphone-based markerless system to measure lower-limb kinematics in patients with knee osteoarthritis
Junqing Wang, Wei Xu, Zhijun Wu, et al.
Journal of Biomechanics (2025) Vol. 181, pp. 112529-112529
Closed Access

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Yiwen Xu, Tariq Khan, Yang Song, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access

Evaluation of camera configurations of OpenPose-based 3D motion capture system for construction tasks
Daeyong Yang, Eui S. Jung
Measurement (2025), pp. 116826-116826
Closed Access

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

Innovating physical education with artificial intelligence: a potential approach
Bin Cui, Wei Jiao, Shengxi Gui, et al.
Frontiers in Psychology (2025) Vol. 16
Open Access

From marker to markerless: Validating DeepLabCut for 2D sagittal plane gait analysis in adults and newly walking toddlers
M.T.W. Verhoeven, Coen S. Zandvoort, Nadia Dominici
Journal of Biomechanics (2025), pp. 112708-112708
Open Access

Application of a novel deep learning–based 3D videography workflow to bat flight
Jonas Håkansson, Brooke L. Quinn, Abigail L. Shultz, et al.
Annals of the New York Academy of Sciences (2024) Vol. 1536, Iss. 1, pp. 92-106
Open Access | Times Cited: 3

AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps
Philipp Barzyk, Philip Zimmermann, Manuel Stein, et al.
European Journal of Sport Science (2024) Vol. 24, Iss. 10, pp. 1452-1462
Open Access | Times Cited: 3

Validation of Automated Countermovement Vertical Jump Analysis: Markerless Pose Estimation vs. 3D Marker-Based Motion Capture System
Jelena Aleksić, Dimitri Kanevsky, David Mesaroš, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6624-6624
Open Access | Times Cited: 2

Quantifying performance and joint kinematics in functional tasks crucial for anterior cruciate ligament rehabilitation using smartphone video and pose detection
Nicolas Lambricht, Alexandre Englebert, Laurent Pitance, et al.
The Knee (2024) Vol. 52, pp. 171-178
Closed Access | Times Cited: 2

Chaotic medical image encryption method using attention mechanism fusion ResNet model
Xiaowu Li, Huiling Peng
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5

Application of VR motion intelligent capture based on DLPMA algorithm in sports training
Xiaojie Li
Systems and Soft Computing (2024) Vol. 6, pp. 200100-200100
Open Access | Times Cited: 1

Automating Video‐Based Two‐Dimensional Motion Analysis in Sport? Implications for Gait Event Detection, Pose Estimation, and Performance Parameter Analysis
Marion Mundt, Steffi Colyer, Logan Wade, et al.
Scandinavian Journal of Medicine and Science in Sports (2024) Vol. 34, Iss. 7
Open Access | Times Cited: 1

Comparative analysis of Markerless Motion Capture Systems for Measuring Human Kinematics
Luca Ceriola, Juri Taborri, Marco Donati, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 28135-28144
Closed Access | Times Cited: 1

Comparison of the OpenPose system and the reference optoelectronic system for gait analysis of lower-limb angular parameters in children
Roxane Henry, Sébastien Cordillet, H. Rauscent, et al.
Orthopaedics & Traumatology Surgery & Research (2024), pp. 104044-104044
Closed Access | Times Cited: 1

Validity and Reliability of POM-Checker for Measuring Shoulder Range of Motion in Healthy Participants: A Pilot Single-Center Comparative Study
Hongmin Chu, Weonjin Kim, Seongsu Joo, et al.
Methods and Protocols (2023) Vol. 6, Iss. 6, pp. 114-114
Open Access | Times Cited: 3

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