Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning
Hyerim Lim, Bumjoon J. Kim, Sukyung Park
Sensors (2019) Vol. 20, Iss. 1, pp. 130-130
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities
Kai Yang, Stuart A. McErlain‐Naylor, Beckie Isaia, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1058-1058
Open Access | Times Cited: 15
A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
Marion Mundt, William R. Johnson, Wolfgang Potthast, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4535-4535
Open Access | Times Cited: 67
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
Md Sanzid Bin Hossain, Zhishan Guo, Hwan Choi
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2829-2840
Open Access | Times Cited: 23
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: 67
These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits
Louis N. Awad, Michael D. Lewek, Trisha M. Kesar, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 60
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
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 Choi, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3906-3917
Open Access | Times Cited: 29
Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review
Zhou Fang, Sarah C. Woodford, Damith Senanayake, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6535-6535
Open Access | Times Cited: 20
Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation
Wenqi Liang, Fanjie Wang, Ao Fan, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4229-4229
Open Access | Times Cited: 17
Evaluation of ground reaction forces and centers of pressure predicted by AnyBody Modeling System during load reaching/handling activities and effects of the prediction errors on model-estimated spinal loads
Sajjad Daroudi, Navid Arjmand, Mahdi Mohseni, et al.
Journal of Biomechanics (2024) Vol. 164, pp. 111974-111974
Closed Access | Times Cited: 6
Interlimb and Intralimb Synergy Modeling for Lower Limb Assistive Devices
Fengyan Liang, Lifen Mo, Yiou Sun, et al.
Cyborg and Bionic Systems (2024) Vol. 5
Open Access | Times Cited: 5
Prediction of ground reaction force and joint moments based on optical motion capture data during gait
Marion Mundt, Arnd Koeppe, Sina David, et al.
Medical Engineering & Physics (2020) Vol. 86, pp. 29-34
Closed Access | Times Cited: 43
Estimating Vertical Ground Reaction Force during Walking Using a Single Inertial Sensor
Xianta Jiang, Christopher Napier, Brett C. Hannigan, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4345-4345
Open Access | Times Cited: 42
Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning
Georgios Giarmatzis, Evangelia I. Zacharaki, Κωνσταντίνος Μουστάκας
Sensors (2020) Vol. 20, Iss. 23, pp. 6933-6933
Open Access | Times Cited: 41
Prediction of Lower Extremity Multi-Joint Angles during Overground Walking by Using a Single IMU with a Low Frequency Based on an LSTM Recurrent Neural Network
Joohwan Sung, Sungmin Han, Hee Su Park, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 53-53
Open Access | Times Cited: 38
Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review
Chang June Lee, Jung Keun Lee
Sensors (2022) Vol. 22, Iss. 7, pp. 2507-2507
Open Access | Times Cited: 27
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
IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring
Fraser Young, Rachel Mason, Rosie Morris, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4100-4100
Open Access | Times Cited: 14
Task-agnostic exoskeleton control via biological joint moment estimation
Dean D. Molinaro, Keaton L. Scherpereel, Ethan B Schonhaut, et al.
Nature (2024) Vol. 635, Iss. 8038, pp. 337-344
Closed Access | Times Cited: 4
A MACHINE LEARNING APPROACH TO REAL-TIME CALCULATION OF JOINT ANGLES DURING WALKING AND RUNNING USING SELF-PLACED INERTIAL MEASUREMENT UNITS
David C. Ackland, Zhou Fang, Damith Senanayake
Gait & Posture (2025)
Open Access
Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network
Lucas Höschler, Christina Halmich, Christoph Schranz, et al.
Sports Biomechanics (2025), pp. 1-19
Open Access
Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum
Myunghyun Lee, Sukyung Park
Sensors (2020) Vol. 20, Iss. 21, pp. 6277-6277
Open Access | Times Cited: 33
IMU and Smartphone Camera Fusion for Knee Adduction and Knee Flexion Moment Estimation During Walking
Tian Tan, Dianxin Wang, Peter B. Shull, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1445-1455
Closed Access | Times Cited: 19
Inertial Sensors for Human Motion Analysis: A Comprehensive Review
Sara García-de-Villa, David Casillas-Pérez, Ana Jiménez-Martín, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-39
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top