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:

Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach
Mohsen Gholami, Christopher Napier, Carlo Menon
Sensors (2020) Vol. 20, Iss. 10, pp. 2939-2939
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Optimal control simulations tracking wearable sensor signals provide comparable running gait kinematics to marker-based motion capture
Grace McConnochie, Aaron Fox, Clint R. Bellenger, et al.
PeerJ (2025) Vol. 13, pp. e19035-e19035
Open Access
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners
Liangliang Xiang, Yaodong Gu, Kaili Deng, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Combining Inertial Sensors and Machine Learning to Predict vGRF and Knee Biomechanics during a Double Limb Jump Landing Task
Courtney R. Chaaban, Nathaniel T. Berry, Cortney Armitano‐Lago, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4383-4383
Open Access | Times Cited: 23
Rethinking running biomechanics: a critical review of ground reaction forces, tibial bone loading, and the role of wearable sensors
Liangliang Xiang, Zixiang Gao, Alan Wang, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 3
Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning
Issam Boukhennoufa, Zainab Altai, Xiaojun Zhai, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 12
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: 12
Examination of a foot mounted IMU-based methodology for a running gait assessment
Fraser Young, Rachel Mason, Conor Wall, et al.
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 12
Development of Tiny Vane-Type Magnetorheological Brake Considering Quality Function Deployment
Agus Lutanto, Ubaidillah Ubaidillah, Fitrian Imaduddin, et al.
Micromachines (2022) Vol. 14, Iss. 1, pp. 26-26
Open Access | Times Cited: 11
BioMAT: An Open-Source Biomechanics Multi-Activity Transformer for Joint Kinematic Predictions Using Wearable Sensors
Mohsen Sharifi-Renani, Mohammad H. Mahoor, Chadd W. Clary
Sensors (2023) Vol. 23, Iss. 13, pp. 5778-5778
Open Access | Times Cited: 6
3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units
Shima Mohammadi Moghadam, Pablo Ortega Auriol, Ted Yeung, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
Comparison between Accelerometer and Gyroscope in Predicting Level-Ground Running Kinematics by Treadmill Running Kinematics Using a Single Wearable Sensor
Dhk Chow, Luc Tremblay, Chor Yin Lam, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4633-4633
Open Access | Times Cited: 14
A Review of Machine Learning Network in Human Motion Biomechanics
Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, et al.
Journal of Grid Computing (2021) Vol. 20, Iss. 1
Closed Access | Times Cited: 14
Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions
Eva Dorschky, Marlies Nitschke, Matthias Mayer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Path Planning and Impedance Control of a Soft Modular Exoskeleton for Coordinated Upper Limb Rehabilitation
Quan Liu, Yang Liu, Yi Li, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 10
Knee Angle Estimation with Dynamic Calibration Using Inertial Measurement Units for Running
Matthew B. Rhudy, Joseph M. Mahoney, Allison R. Altman-Singles
Sensors (2024) Vol. 24, Iss. 2, pp. 695-695
Open Access | Times Cited: 1
Unsupervised learning for real-time and continuous gait phase detection
Dollaporn Anopas, Yodchanan Wongsawat, Jetsada Arnin
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0312761-e0312761
Open Access | Times Cited: 1
DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner For Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors In Daily Living
Md Sanzid Bin Hossain, Joseph Dranetz, Hwan Geun Choi, et al.
(2022)
Open Access | Times Cited: 4
Estimation of horizontal running power using foot-worn inertial measurement units
Salil Apte, Mathieu Falbriard, Frédéric Meyer, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 2
Estimation of Lower Limb Joint Angles and Joint Moments during Different Locomotive Activities Using the Inertial Measurement Units and a Hybrid Deep Learning Model
Fanjie Wang, Wenqi Liang, H. M. Rehan Afzal, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9039-9039
Open Access | Times Cited: 2
Estimating lower extremity joint angles during gait using reduced number of sensors count via deep learning
Md Sanzid Bin Hossain, Hwan Choi, Zhishan Guo
Fourteenth International Conference on Digital Image Processing (ICDIP 2022) (2022), pp. 59-59
Closed Access | Times Cited: 3
Lower body kinematics estimation during walking using an accelerometer
Zahed Mantashloo, Ali Abbasi, Mehdi Khaleghi Tazji, et al.
Journal of Biomechanics (2023) Vol. 151, pp. 111548-111548
Closed Access | Times Cited: 1
Prediction of knee biomechanics with different tibial component malrotations after total knee arthroplasty: conventional machine learning vs. deep learning
Qida Zhang, Zhuhuan Li, Zhenxian Chen, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access
Generative Data Augmentation of Human Biomechanics
Halldór Kárason, Pierluigi Ritrovato, Nicola Maffulli, et al.
Lecture notes in computer science (2024), pp. 482-493
Closed Access
3D Gait Analysis in Children Using Wearable Sensors: Feasibility of Predicting Joint Kinematics and Kinetics with Personalized Machine Learning Models and Inertial Measurement Units
Shima Mohammadi Moghadam, Pablo Ortega Auriol, Ted Yeung, et al.
Research Square (Research Square) (2024)
Open Access
Optimizing wearable motion tracking by assessing sagittal joint angle accuracy with minimal sensor use
Brett C. Hannigan, Mohamed Elgendi, Gholami Mohsen, et al.
Current Issues in Sport Science (CISS) (2024) Vol. 9, Iss. 2, pp. 047-047
Open Access

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