Open Access Helper

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:

Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution
Ryan S. Alcantara, W. Brent Edwards, Guillaume Y. Millet, et al.
PeerJ (2022) Vol. 10, pp. e12752-e12752
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategies
Andrea Zignoli, Antoine Godin, Laurent Mourot
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0287978-e0287978
Open Access | Times Cited: 4
Estimation of ground reaction force waveforms during fixed pace running outside the laboratory
Seth R. Donahue, Michael E. Hahn
Frontiers in Sports and Active Living (2023) Vol. 5
Open Access | Times Cited: 3
Using Raw Accelerometer Data to Predict High-Impact Mechanical Loading
Lucas Veras, Florêncio Diniz‐Sousa, Giorjines Boppre, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2246-2246
Open Access | Times Cited: 3
Acceleration-Based Estimation of Vertical Ground Reaction Forces during Running: A Comparison of Methods across Running Speeds, Surfaces, and Foot Strike Patterns
Dovin Kiernan, Brandon Ng, David Hawkins
Sensors (2023) Vol. 23, Iss. 21, pp. 8719-8719
Open Access | Times Cited: 3
Estimating running kinematics variability with an IMU sensor placed on the runner's thorax
Andrea Zignoli, Damiano Fruet, Laurent Mourot
(2022), pp. 169-174
Closed Access | Times Cited: 3
Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics
Taniel S. Winner, Michael C. Rosenberg, Kanishk Jain, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Effect of sensor number and location on accelerometry-based vertical ground reaction force estimation during walking
Richard E. Pimentel, Cortney Armitano‐Lago, Ryan P. MacPherson, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000343-e0000343
Open Access
Exploring the contribution of joint angles and sEMG signals on joint torque prediction accuracy using LSTM-based deep learning techniques
Engin Kaya, Hande Argunsah
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-11
Closed Access
Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort
Tylan N. Templin, Christopher D. Riehm, Travis D. Eliason, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
Trends in real-time artificial intelligence methods in sports: a systematic review
Val Vec, Sašo Tomažič, Anton Kos, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
Keenon Werling, Janelle M. Kaneda, Tian Tan, et al.
Lecture notes in computer science (2024), pp. 490-508
Closed Access
Performance of Regression-Based Models for Real-Time Estimation of Anterior Ground Reaction Forces during Walking
Nelson A. Glover, Tiphanie Raffageau, Quentin Sanders
(2024), pp. 1-4
Closed Access
Predicting vertical ground reaction forces from 3D accelerometry using reservoir computers leads to accurate gait event detection
Margit M. Bach, Nadia Dominici, Andreas Daffertshofer
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Predicting Vertical Ground Reaction Forces in Running from the Sound of Footsteps
Anderson Souza Oliveira, Cristina-Ioana Pîrșcoveanu, John Rasmussen
Sensors (2022) Vol. 22, Iss. 24, pp. 9640-9640
Open Access | Times Cited: 2
The development of running in children
Margit M. Bach
(2023)
Open Access
Effect of sensor number and location on accelerometry-based vertical ground reaction force estimation during walking
Richard E. Pimentel, Cortney Armitano‐Lago, Ryan P. MacPherson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Using Wearable Accelerometers to Develop a Vertical Ground Reaction Force Prediction Model during Running: A Sensitivity Study
Thomas Provot, Samaneh Choupani, Maxime Bourgain, et al.
Vibration (2023) Vol. 6, Iss. 3, pp. 680-694
Open Access
Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation
Tian Tan, Peter B. Shull, Jennifer L. Hicks, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Predicting Leg Forces and Knee Moments Using Inertial Measurement Units: An In Vitro Study
Mirel Ajdaroski, So Young Baek, James A. Ashton‐Miller, et al.
Journal of Biomechanical Engineering (2023) Vol. 146, Iss. 2
Closed Access
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