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:

A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling
Emily S. Matijevich, Péter Völgyesi, Karl E. Zelik
Sensors (2021) Vol. 21, Iss. 2, pp. 340-340
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Personalizing exoskeleton assistance while walking in the real world
Patrick Slade, Mykel J. Kochenderfer, Scott L. Delp, et al.
Nature (2022) Vol. 610, Iss. 7931, pp. 277-282
Open Access | Times Cited: 143
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: 16
The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review
Victor C.H. Chan, Gwyneth B. Ross, Allison L. Clouthier, et al.
Applied Ergonomics (2021) Vol. 98, pp. 103574-103574
Open Access | Times Cited: 79
An ergonomic assessment tool for evaluating the effect of back exoskeletons on injury risk
Karl E. Zelik, Cameron A. Nurse, Mark C. Schall, et al.
Applied Ergonomics (2021) Vol. 99, pp. 103619-103619
Open Access | Times Cited: 67
Advances in Wearable Biosensors for Healthcare: Current Trends, Applications, and Future Perspectives
Dang-Khoa Vo, Kieu The Loan Trinh
Biosensors (2024) Vol. 14, Iss. 11, pp. 560-560
Open Access | Times Cited: 9
Detecting Fatigue during Exoskeleton-Assisted Trunk Flexion Tasks: A Machine Learning Approach
Pranav Madhav Kuber, Hrushikesh Godbole, Ehsan Rashedi
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3563-3563
Open Access | Times Cited: 8
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning
Leandro Donisi, Giuseppe Cesarelli, Armando Coccia, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2593-2593
Open Access | Times Cited: 51
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature
Leandro Donisi, Giuseppe Cesarelli, Noemi Pisani, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3048-3048
Open Access | Times Cited: 37
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: 29
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 4
Machine Learning-Based Fatigue Level Prediction for Exoskeleton-Assisted Trunk Flexion Tasks Using Wearable Sensors
Pranav Madhav Kuber, Abhineet Rajendra Kulkarni, Ehsan Rashedi
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4563-4563
Open Access | Times Cited: 4
A fatigue failure framework for the assessment of highly variable low back loading using inertial motion capture – a case study
Iván Nail-Ulloa, Michael Zabala, Nathan Pool, et al.
Ergonomics (2025), pp. 1-17
Closed Access
Proof-of-concept system evaluation of Ergomechanic for non-invasive estimation of upper-body posture and body load exposure in the workplace
Simon M. Harrison, Raymond C.Z. Cohen, John F. O’Hanlon, et al.
International Journal of Occupational Safety and Ergonomics (2025), pp. 1-13
Closed Access
Low Back Exoskeletons in Industry 5.0: From Machines to Perceiving Co-Pilots—A State-of-the-Art Review
Andrea Dal Prete, Marta Gandolla, Giuseppe Andreoni, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1958-1958
Open Access
The perceptual and biomechanical effects of scaling back exosuit assistance to changing task demands
Jinwon Chung, D. Adam Quirk, Jason M. Cherin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities
Sujee Lee, Li Liu, Robert G. Radwin, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5745-5752
Open Access | Times Cited: 27
Real-Time Ground Reaction Force and Knee Extension Moment Estimation During Drop Landings Via Modular LSTM Modeling and Wearable IMUs
Tao Sun, Dongxuan Li, Bingfei Fan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3222-3233
Closed Access | Times Cited: 10
Machine learning approach to determine the decision rules in ergonomic assessment of working posture in sewing machine operators
Jun‐Ming Su, Jer‐Hao Chang, Ni Luh Dwi Indrayani, et al.
Journal of Safety Research (2023) Vol. 87, pp. 15-26
Closed Access | Times Cited: 10
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: 22
The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements
David Hollinger, Mark C. Schall, Howard Chen, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3657-3657
Open Access | Times Cited: 2
Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles
Amal Kammoun, Philippe Ravier, Olivier Buttelli
Sensors (2024) Vol. 24, Iss. 16, pp. 5318-5318
Open Access | Times Cited: 2
How Accurately Can Wearable Sensors Assess Low Back Disorder Risks during Material Handling? Exploring the Fundamental Capabilities and Limitations of Different Sensor Signals
Cameron A. Nurse, Laura J. Judson, Péter Völgyesi, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2064-2064
Open Access | Times Cited: 6
AI-Based Task Classification With Pressure Insoles for Occupational Safety
P. A. O’SULLIVAN, Matteo Menolotto, Andrea Visentin, et al.
IEEE Access (2024) Vol. 12, pp. 21347-21357
Open Access | Times Cited: 1
Improving Biological Joint Moment Estimation During Real-World Tasks With EMG and Instrumented Insoles
Keaton L. Scherpereel, Dean D. Molinaro, Max K. Shepherd, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 9, pp. 2718-2727
Open Access | Times Cited: 1
Spine patient care with wearable medical technology: state-of-the-art, opportunities, and challenges: a systematic review
Ram Haddas, Mark C. Lawlor, Ehsan Moghadam, et al.
The Spine Journal (2023) Vol. 23, Iss. 7, pp. 929-944
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top