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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:

Comparison of predicted kinetic variables between Parkinson’s disease patients and healthy age-matched control using a depth sensor-driven full-body musculoskeletal model
Jeong‐Hoon Oh, Moataz Eltoukhy, Christopher Kuenze, et al.
Gait & Posture (2019) Vol. 76, pp. 151-156
Closed Access | Times Cited: 22

Showing 22 citing articles:

Biomechanics Parameters of Gait Analysis to Characterize Parkinson’s Disease: A Scoping Review
Michela Russo, Marianna Amboni, Noemi Pisani, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 338-338
Open Access | Times Cited: 1
Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review
Serena Cerfoglio, Claudia Ferraris, Luca Vismara, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4910-4910
Open Access | Times Cited: 24
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
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
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
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
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
Severity Classification of Parkinson’s Disease Based on Permutation-Variable Importance and Persistent Entropy
Jigang Tong, Jiachen Zhang, Enzeng Dong, et al.
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1834-1834
Open Access | Times Cited: 18
An 8-week aerobic cycling intervention elicits improved gait velocity and biomechanics in persons with Parkinson’s disease
Susan M. Linder, Elise Baron, Ken Learman, et al.
Gait & Posture (2022) Vol. 98, pp. 313-315
Open Access | Times Cited: 10
Estimation of ground reaction forces during stair climbing in patients with ACL reconstruction using a depth sensor-driven musculoskeletal model
Jeong‐Hoon Oh, Christopher Kuenze, Joseph F. Signorile, et al.
Gait & Posture (2020) Vol. 84, pp. 232-237
Closed Access | Times Cited: 9
Submaximal electromyography-driven musculoskeletal modeling of the human trunk during static tasks: Equilibrium and stability analyses
Farshid Ghezelbash, Aboulfazl Shirazi‐Adl, Denis Gagnon, et al.
Journal of Electromyography and Kinesiology (2022) Vol. 65, pp. 102664-102664
Closed Access | Times Cited: 5
Application of Feedforward and Recurrent Neural Networks for Fusion of Data from Radar and Depth Sensors Applied for Healthcare-Oriented Characterisation of Persons’ Gait
Paweł Mazurek
Sensors (2023) Vol. 23, Iss. 3, pp. 1457-1457
Open Access | Times Cited: 2
Monitoring joint mechanics in anterior cruciate ligament reconstruction using depth sensor-driven musculoskeletal modeling and statistical parametric mapping
Jeong‐Hoon Oh, Zachary Ripic, Joseph F. Signorile, et al.
Medical Engineering & Physics (2022) Vol. 103, pp. 103796-103796
Closed Access | Times Cited: 4
The effect of asymmetrical gait induced by unilateral knee brace on the knee flexor and extensor muscles
Yi Ting Yap, Darwin Gouwanda, Alpha Agape Gopalai, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 3, pp. 711-720
Closed Access | Times Cited: 5
A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification
Kaushik Sekaran, A. Harshavardhan, N. Sandhya, et al.
IEEE Access (2024) Vol. 12, pp. 83140-83153
Open Access
Heart Pulse Transmission Parameters of Multi-Channel PPG Signals for Cuffless Estimation of Arterial Blood Pressure: Preliminary Study
Jiří Přibil, Anna Přibilová, Ivan Frollo
Electronics (2024) Vol. 13, Iss. 16, pp. 3297-3297
Open Access
Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods
Idongesit Ekerete, Matías García-Constantino, Alexandros Konios, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 9096-9096
Open Access | Times Cited: 3
Feasibility and validity of a single camera CNN driven musculoskeletal model for muscle force estimation during upper extremity strength exercises: Proof-of-concept
Lisa Noteboom, Marco J.M. Hoozemans, H.E.J. Veeger, et al.
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 2
Gait Analysis
Jakub Wagner, Paweł Mazurek, Roman Z. Morawski
Health information science (2022), pp. 225-257
Closed Access | Times Cited: 1
Modelo músculo-esquelético del miembro inferior para rehabilitación con robot paralelo
Pau Zamora Ortiz
(2023)
Open Access
Kinematic characteristics of gait with different myopia: a cross-sectional study
Aochuan Xue, Zhaohong Zeng, Huihui Wang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access
The Use of Spatiotemporal Gait Analysis in Diagnosing Pathologies: A Review
Vinuja Fernando, Monish Maharaj, Lianne Koinis, et al.
Clinical Case Reports and Studies (2023) Vol. 3, Iss. 2, pp. 1-14
Open Access
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