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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:

Real-time monitoring unsafe behaviors of portable multi-position ladder worker using deep learning based on vision data
Minsoo Park, Dai Quoc Tran, JinYeong Bak, et al.
Journal of Safety Research (2023) Vol. 87, pp. 465-480
Open Access | Times Cited: 10

Showing 10 citing articles:

Occlusion-aware and jitter-rejection 3D video real-time pose estimation for construction workers
Benyang Song, Jiajun Wang, Xiaoling Wang, et al.
Automation in Construction (2025) Vol. 171, pp. 106015-106015
Closed Access | Times Cited: 1
Masked Region Disparity-based Unsafe Behavior Detection via Campus Monitoring Device Images
Yuhua Wu, Shujuan Feng, Yangkai Wu, et al.
Knowledge-Based Systems (2025), pp. 113051-113051
Closed Access
Towards worker-centric construction scene understanding: Status quo and future directions
Huimin Li, Hui Deng, Yichuan Deng
Automation in Construction (2025) Vol. 171, pp. 106005-106005
Closed Access
A Voxel-Based 3D reconstruction and action recognition method for construction workers
Jin Zhang, Daoming Wang, Xuehui An, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103203-103203
Closed Access
BIM for Safety: Applying Real-Time Monitoring Technologies to Prevent Falls from Height in Construction
Filipa Pereira, María de las Nieves González García, João Poças Martins
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2218-2218
Open Access
Behavioral safety modeling of insecurity degree of multi-feature of workers based on key point detection
Min Li, Xiaoming Yang, Shiliang Shi, et al.
Measurement (2025), pp. 117423-117423
Closed Access
Automated construction safety reporting system integrating deep learning-based real-time advanced detection and visual question answering
Shihao Wen, Minsoo Park, Dai Quoc Tran, et al.
Advances in Engineering Software (2024) Vol. 198, pp. 103779-103779
Closed Access | Times Cited: 2
Semi-supervised learning approach for construction object detection by integrating super-resolution and mean teacher network
Wenjie Zhang, Hua‐Ping Wan, Peng-Hua Hu, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 4, pp. 100095-100095
Open Access | Times Cited: 1
An Evaluation of the Technologies Used for the Real-Time Monitoring of the Risk of Falling from Height in Construction—Systematic Review
Filipa Pereira, María de las Nieves González García, João Poças Martins
Buildings (2024) Vol. 14, Iss. 9, pp. 2879-2879
Open Access | Times Cited: 1
Development of Enhanced Computer Vision-based Monitoring Technology to Respond to Fire Accidents at Electric Vehicle Charging Stations
Jihyo Kim, Daekyo Jung, Minsoo Park, et al.
Korean Society of Hazard Mitigation (2024) Vol. 24, Iss. 4, pp. 29-35
Open Access
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