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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:

Machine learning for rapid estimation of lower extremity muscle and joint loading during activities of daily living
William S. Burton, Casey A. Myers, Paul J. Rullkoetter
Journal of Biomechanics (2021) Vol. 123, pp. 110439-110439
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG
Jie Zhang, Yihui Zhao, Fergus Shone, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 484-493
Open Access | Times Cited: 95
Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors
Liangliang Xiang, Yaodong Gu, Zixiang Gao, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108016-108016
Closed Access | Times Cited: 8
The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions
Mohsen Sharifi Renani, Abigail Eustace, Casey A. Myers, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5876-5876
Open Access | Times Cited: 43
Comparative Study: Using Machine Learning Models Based Rehabilitation Therapy to Classify Diabetic Frozen Shoulder Exercises
Zaid Ahmed, Mohamed Sherif, Maha Abdelmohsen, et al.
Lecture notes in networks and systems (2025), pp. 684-698
Closed Access
Predicting Musculoskeletal Loading at Common Running Injury Locations using Machine Learning and Instrumented Insoles
Bas Van Hooren, Lars van Rengs, Kenneth Meijer
Medicine & Science in Sports & Exercise (2024) Vol. 56, Iss. 10, pp. 2059-2075
Closed Access | Times Cited: 3
Increased Femoral Anteversion Does Not Lead to Increased Joint Forces During Gait in a Cohort of Adolescent Patients
Nathalie Alexander, Reinald Brunner, Johannes Cip, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 16
Estimation of Lower Extremity Muscle Activity in Gait Using the Wearable Inertial Measurement Units and Neural Network
Min Khant, Darwin Gouwanda, Alpha Agape Gopalai, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 556-556
Open Access | Times Cited: 10
Generating synthetic multidimensional molecular time series data for machine learning: considerations
Gary An, Chase Cockrell
Frontiers in Systems Biology (2023) Vol. 3
Open Access | Times Cited: 9
Estimation of lower limb joint moments based on the inverse dynamics approach: a comparison of machine learning algorithms for rapid estimation
Mohammed Mansour, Kasım Serbest, Mustafa Kutlu, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 12, pp. 3253-3276
Closed Access | Times Cited: 9
Differences in running technique between runners with better and poorer running economy and lower and higher milage: An artificial neural network approach
Bas Van Hooren, Rebecca Lennartz, Maartje Cox, et al.
Scandinavian Journal of Medicine and Science in Sports (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 3
Boosting Personalised Musculoskeletal Modelling with Physics-informed Knowledge Transfer
Jie Zhang, Yihui Zhao, Tianzhe Bao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Open Access | Times Cited: 13
Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks
Jere Lavikainen, Lauri Stenroth, Tine Alkjær, et al.
Annals of Biomedical Engineering (2023) Vol. 51, Iss. 11, pp. 2479-2489
Open Access | Times Cited: 7
Predicting Free Achilles Tendon Strain From Motion Capture Data Using Artificial Intelligence
Zhengliang Xia, Daniel Devaprakash, Bradley M. Cornish, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3086-3094
Open Access | Times Cited: 7
Toward Robust and Efficient Musculoskeletal Modeling Using Distributed Physics-Informed Deep Learning
Jie Zhang, Ziling Ruan, Qing Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Open Access | Times Cited: 7
Glenohumeral joint force prediction with deep learning
Pezhman Eghbali, Fabio Becce, Patrick Goetti, et al.
Journal of Biomechanics (2024) Vol. 163, pp. 111952-111952
Open Access | Times Cited: 2
On the prediction of tibiofemoral contact forces for healthy individuals and osteoarthritis patients during gait: a comparative study of regression methods
Felipe Arruda Moura, Alexandre Roberto Marcondes Pelegrinelli, Danilo S. Catelli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects
Mattia Perrone, Steven P. Mell, John T. Martin, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-5
Open Access | Times Cited: 2
Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video
Zhengliang Xia, Bradley M. Cornish, Daniel Devaprakash, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2070-2077
Open Access | Times Cited: 2
Machine Learning for Musculoskeletal Modeling of Upper Extremity
Rahul Sharma, Abhishek Dasgupta, Runbei Cheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 19, pp. 18684-18697
Closed Access | Times Cited: 11
Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review
Alexander Paz, Gustavo A. Orozco, Rami K. Korhonen, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11440-11440
Open Access | Times Cited: 15
Integrating musculoskeletal simulation and machine learning: a hybrid approach for personalized ankle-foot exoskeleton assistance strategies
Xianyu Zhang, Shihao Li, Zhenzhi Ying, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1
An Online Estimating Framework for Ankle Actively Exerted Torque under Multi-DOF Coupled Dynamic Motions via sEMG
Yu Zhou, Jianfeng Li, Shiping Zuo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 33, pp. 81-91
Open Access | Times Cited: 1
Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers
Milton Osiel Candela-Leal, Erick Adrián Gutiérrez-Flores, Gerardo Presbítero-Espinosa, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5424-5424
Open Access | Times Cited: 7
Inverse distance weighting to rapidly generate large simulation datasets
Kalyn M. Kearney, Joel B. Harley, Jennifer A. Nichols
Journal of Biomechanics (2023) Vol. 158, pp. 111764-111764
Closed Access | Times Cited: 3
Multi-Action Knee Contact Force Prediction by Domain Adaptation
Iliana Loi, Evangelia I. Zacharaki, Κωνσταντίνος Μουστάκας
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 32, pp. 122-132
Open Access | Times Cited: 3
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