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:

Deep learning framework with Local Sparse Transformer for construction worker detection in 3D with LiDAR
Mingyu Zhang, Lei Wang, Shuai Han, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 19, pp. 2990-3007
Open Access | Times Cited: 5

Showing 5 citing articles:

LiDAR-Based Framework for Accurate Positioning and Robust Tracking of Multiple Construction Workers
Mingyu Zhang, Yushu Yang, Shuai Han, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access

Automated indoor 3D scene reconstruction with decoupled mapping using quadruped robot and LiDAR sensor
Vincent J.L. Gan, Difeng Hu, Yushuo Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Gravity-constrained simultaneous localization and mapping for suppressing map warping in complex large-scale environments
Kaiyi Xian, Duo Liu, Gexiang Zhang, et al.
Integrated Computer-Aided Engineering (2025)
Closed Access

Excavator 3D pose estimation from point cloud with self‐supervised deep learning
Mingyu Zhang, Wenkang Guo, Jiawen Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

From raw to refined: Data preprocessing for construction machine learning (ML), deep learning (DL), and reinforcement learning (RL) models
SeyedeZahra Golazad, Abbas Mohammadi, Abbas Rashidi, et al.
Automation in Construction (2024) Vol. 168, pp. 105844-105844
Closed Access | Times Cited: 3

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