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:

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach
Ilaria Conforti, Ilaria Mileti, Zaccaria Del Prete, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1557-1557
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Wearable Devices for Ergonomics: A Systematic Literature Review
Elena Stefana, Filippo Marciano, Diana Rossi, et al.
Sensors (2021) Vol. 21, Iss. 3, pp. 777-777
Open Access | Times Cited: 119

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

Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device
Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer, Waleed Umer, et al.
International Journal of Industrial Ergonomics (2022) Vol. 93, pp. 103404-103404
Open Access | Times Cited: 41

Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review
Francesca Giada Antonaci, Elena Carlotta Olivetti, Federica Marcolin, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5473-5473
Open Access | Times Cited: 13

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

Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach
Masoud Abdollahi, Sajad Ashouri, Mohsen Abedi, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3600-3600
Open Access | Times Cited: 49

Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
Carlo Dindorf, Jürgen Konradi, Claudia Wolf, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6323-6323
Open Access | Times Cited: 39

Wearables for Monitoring and Postural Feedback in the Work Context: A Scoping Review
Vânia Figueira, Sandra Silva, Ines M. Costa, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1341-1341
Open Access | Times Cited: 5

Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors
G. Prisco, Maria Romano, Fabrizio Esposito, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 576-576
Open Access | Times Cited: 4

Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities
G. Prisco, Maria Agnese Pirozzi, Antonella Santone, et al.
Diagnostics (2025) Vol. 15, Iss. 1, pp. 105-105
Open Access

Towards a shape-performance integrated digital twin for lumbar spine analysis
Xiwang He, Yiming Qiu, Xiaonan Lai, et al.
Digital Twin (2025) Vol. 1, pp. 8-8
Open Access

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

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

Using Artificial Intelligence for Pattern Recognition in a Sports Context
Ana Cristina Nunes Rodrigues, Alexandre Santos Pereira, Rui Mendes, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3040-3040
Open Access | Times Cited: 28

Analysis of Active Back-Support Exoskeleton During Manual Load-Lifting Tasks
Hyun K. Kim, Muhammad Hussain, Jaehyun Park, et al.
Journal of Medical and Biological Engineering (2021)
Closed Access | Times Cited: 26

Towards a shape-performance integrated digital twin for lumbar spine analysis
Xiwang He, Yiming Qiu, Xiaonan Lai, et al.
Digital Twin (2021) Vol. 1, pp. 8-8
Open Access | Times Cited: 26

Ergonomics Evaluation Using Motion Capture Technology—Literature Review
Filip Rybnikár, Ilona Kačerová, Petr Hořejší, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 18

Review of the Application of Wearable Devices in Construction Safety: A Bibliometric Analysis from 2005 to 2021
Ran Gao, Bowen Mu, Sainan Lyu, et al.
Buildings (2022) Vol. 12, Iss. 3, pp. 344-344
Open Access | Times Cited: 16

A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial
Anna Lina Rahlf, Tim Hoenig, Julian Stürznickel, et al.
BMC Sports Science Medicine and Rehabilitation (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 16

A cloud-edge computing architecture for monitoring protective equipment
Carlos Reaño, José V. Riera, Verónica Romero, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation
Marco Germanotta, Ilaria Mileti, Ilaria Conforti, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 601-601
Open Access | Times Cited: 21

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