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:

A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk
Guoyang Zhou, Vaneet Aggarwal, Ming Yin, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 2, pp. 207-219
Closed Access | Times Cited: 17

Showing 17 citing articles:

A systematic literature review of computer vision-based biomechanical models for physical workload estimation
Darlington Egeonu, Bochen Jia
Ergonomics (2024), pp. 1-24
Closed Access | Times Cited: 5

A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: A narrative review
Federico Roggio, Bruno Trovato, Martina Sortino, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e39977-e39977
Closed Access | Times Cited: 4

Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model
Gee-Sern Hsu, J. F. Wu, Yin-Kai Dean Huang, et al.
Life (2025) Vol. 15, Iss. 3, pp. 358-358
Open Access

A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers
Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini
Computers in Industry (2023) Vol. 155, pp. 104042-104042
Closed Access | Times Cited: 11

A Data-Driven Approach to Classifying Manual Material Handling Tasks Using Markerless Motion Capture and Recurrent Neural Networks
Aanuoluwapo Ojelade, Mohammad Sadra Rajabi, Sunwook Kim, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1

Safety 4.0: Harnessing computer vision for advanced industrial protection
Ibrahim Yousif, Jad Samaha, JuHyeong Ryu, et al.
Manufacturing Letters (2024) Vol. 41, pp. 1342-1356
Closed Access | Times Cited: 1

Investigating gripping force during lifting tasks using a pressure sensing glove system
Guoyang Zhou, Ming‐Lun Lu, Denny Yu
Applied Ergonomics (2022) Vol. 107, pp. 103917-103917
Closed Access | Times Cited: 7

Tactile Gloves Predict Load Weight During Lifting With Deep Neural Networks
Guoyang Zhou, Ming‐Lun Lu, Denny Yu
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 18798-18809
Closed Access | Times Cited: 3

A computer vision approach to continuously monitor fatigue during resistance training
Justin Amadeus Albert, Bert Arnrich
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105701-105701
Open Access | Times Cited: 2

Automated detection of physical fatigue in transportation maintenance workers through physiological and motion data
Xingzhou Guo, Yunfeng Chen, Jiansong Zhang
Theoretical Issues in Ergonomics Science (2024), pp. 1-20
Closed Access

Video-Based Lifting Action Recognition Using Rank-Altered Kinematic Feature Pairs
SeHee Jung, Bingyi Su, Lu Lu, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2024)
Closed Access

Transfer-Learning-Based Gesture and Pose Recognition System for Human–Robot Interaction: An Internet of Things Application
Ping‐Huan Kuo, Yu-Chi Shen, Pohsun Feng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 35376-35389
Closed Access

2022 Index IEEE Transactions on Human-Machine Systems Vol. 52

IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 6, pp. 1377-1401
Open Access

Computer Vision Predicts Force During Lifting
Guoyang Zhou, Vaneet Aggarwal, Ming Yin, et al.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2022) Vol. 66, Iss. 1, pp. 661-661
Closed Access

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