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:

Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approach
Zachary Ripic, Christopher Kuenze, Michael Skipper Andersen, et al.
Gait & Posture (2022) Vol. 95, pp. 49-55
Closed Access | Times Cited: 22

Showing 22 citing articles:

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

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: 6

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

Inclusion of a skeletal model partly improves reliability of lower limb joint angles during a wide range of movement assessments recorded using a markerless depth camera
Tyler J. Collings, Daniel Devaprakash, Claudio Pizzolato, et al.
Journal of Biomechanics (2024) Vol. 170, pp. 112160-112160
Open Access | Times Cited: 5

Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review
Muhammad Abdullah, Abdul Aziz Hulleck, Rateb Katmah, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5

Prediction of ground reaction forces and moments during walking in children with cerebral palsy
Julie Kloeckner, Rosa M. S. Visscher, William R. Taylor, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11

Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?
Firooz Salami, Mustafa Erkam Özateş, Yunus Ziya Arslan, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320793-e0320793
Open Access

Machine learning-based prediction of joint moments based on kinematics in patients with cerebral palsy
Mustafa Erkam Özateş, Derya Karabulut, Firooz Salami, et al.
Journal of Biomechanics (2023) Vol. 155, pp. 111668-111668
Closed Access | Times Cited: 9

Prediction of gait kinetics using Markerless-driven musculoskeletal modeling
Zachary Ripic, Ilias Theodorakos, Michael Skipper Andersen, et al.
Journal of Biomechanics (2023) Vol. 157, pp. 111712-111712
Closed Access | Times Cited: 9

Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters
Zachary Ripic, Joseph F. Signorile, Christopher Kuenze, et al.
Journal of Biomechanics (2022) Vol. 143, pp. 111278-111278
Closed Access | Times Cited: 13

Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system
Serena Cerfoglio, Claudia Ferraris, Luca Vismara, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2

Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation
Yean Zhu, Meirong Xiao, Daniel Robbins, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102945-102945
Closed Access | Times Cited: 1

An IMU-Based Ground Reaction Force Estimation Method and Its Application in Walking Balance Assessment
Xiangzhi Liu, Xiangliang Zhang, Bin Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 223-232
Open Access | Times Cited: 3

Testing the Microsoft kinect skeletal tracking accuracy under varying external factors
Joyce Eduardo Taboada Díaz, Ronald Boss, Peter Kyberd, et al.
MOJ Applied Bionics and Biomechanics (2022) Vol. 6, Iss. 1, pp. 7-11
Open Access | Times Cited: 4

A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis
Xiaofeng Han, Diego Guffanti, Alberto Brunete
(2024)
Closed Access

Estimating Ground Reaction Forces from Gait Kinematics in Cerebral Palsy: A Convolutional Neural Network Approach
Mustafa Erkam Özateş, Firooz Salami, Sebastian I. Wolf, et al.
Annals of Biomedical Engineering (2024)
Closed Access

Limiting the Use of Electromyography and Ground Reaction Force Data Changes the Magnitude and Ranking of Modelled Anterior Cruciate Ligament Forces
Azadeh Nasseri, Riad Akhundov, Adam L. Bryant, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 369-369
Open Access | Times Cited: 1

Validation of Computationally Estimated Human Body-Seat Contact Forces During Sitting
Ilias Theodorakos, Xuguang Wang
Lecture notes in networks and systems (2023), pp. 115-124
Closed Access

Markerless motion capture system for stroke gait analysis
Shengqian Xu, Daoyuan Wang, Xiongang Huang, et al.
(2023), pp. 61-61
Closed Access

Developing Degenerative Arthritis Patient Classification Algorithm based on 3D Walking Video
Tea-Ho Kang, Si-Yul Sung, Sang-Hyeok Han, et al.
Journal of Society of Korea Industrial and Systems Engineering (2023) Vol. 46, Iss. 3, pp. 161-169
Closed Access

Makine öğrenmesi ile kinematik veriden serebral palsili hastaların yürüyüş karakteristiğinin analizi
Mustafa Erkam Özateş, Sebastian I. Wolf, Yunus Ziya Arslan
Sağlık ve Yaşam Bilimleri Dergisi (2023) Vol. 5, Iss. 3, pp. 146-152
Open Access

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