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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:

Game engine-driven synthetic data generation for computer vision-based safety monitoring of construction workers
Heejae Lee, Jongmoo Jeon, Doyeop Lee, et al.
Automation in Construction (2023) Vol. 155, pp. 105060-105060
Closed Access | Times Cited: 16

Showing 16 citing articles:

Deep learning without human labeling for on-site rebar instance segmentation using synthetic BIM data and domain adaptation
Tsung‐Wei Huang, Yi‐Hsiang Chen, Jacob J. Lin, et al.
Automation in Construction (2025) Vol. 171, pp. 105953-105953
Closed Access | Times Cited: 1
Integration of BIM data and real-time game engine applications: Case studies in construction safety management
A. A. Zaman, Ahmed Abdelaty, Md. Habibur Rahman Sobuz
Journal of Information Technology in Construction (2024) Vol. 29, pp. 117-140
Open Access | Times Cited: 7
Generating Synthetic Images for Construction Machinery Data Augmentation Utilizing Context-Aware Object Placement
Yujie Lu, Bo Liu, Wei We, et al.
Developments in the Built Environment (2025), pp. 100610-100610
Open Access
Real-time rebar spacing measurement system for quality control in construction
Ukyong Woo, Myung-Hun Lee, Taemin Lee, et al.
Automation in Construction (2025) Vol. 171, pp. 106012-106012
Closed Access
Deep learning-based automated method for enhancing excavator activity recognition in far-field construction site surveillance videos
Yejin Shin, Seungwon Seo, Choongwan Koo
Automation in Construction (2025) Vol. 173, pp. 106099-106099
Closed Access
Integrating text parsing and object detection for automated monitoring of finishing works in construction projects
Jai‐Ho Oh, Sungkook Hong, Byungjoo Choi, et al.
Automation in Construction (2025) Vol. 174, pp. 106139-106139
Closed Access
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
Soeun Han, Wonjun Park, Kyumin Jeong, et al.
Automation in Construction (2024) Vol. 163, pp. 105415-105415
Open Access | Times Cited: 4
Change detection network for construction housekeeping using feature fusion and large vision models
Kailai Sun, Zherui Shao, Yang Miang Goh, et al.
Automation in Construction (2025) Vol. 172, pp. 106038-106038
Open 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
Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks
Irina Razveeva, Alexey Kozhakin, Alexey N. Beskopylny, et al.
Buildings (2023) Vol. 13, Iss. 12, pp. 3014-3014
Open Access | Times Cited: 12
A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction
Li-Qun Xu, Hexu Liu, Bo Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102699-102699
Closed Access | Times Cited: 2
Hybrid Data Augmentation for Enhanced Crack Detection in Building Construction
S. J. Choi, Hee-Sung Cha, Shaohua Jiang
Buildings (2024) Vol. 14, Iss. 7, pp. 1929-1929
Open Access | Times Cited: 1
Synthetic data can aid the analysis of clinical outcomes: How much can it be trusted?
David L. Mac Adam
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 32
Open Access | Times Cited: 1
A Multi-Objective Ensemble Learning Framework For Designing Low-Carbon Ultra-High Performance Concrete (UHPC)
Yuting Zhang, Meihui Yi, Wei Mei, et al.
Applied Soft Computing (2024), pp. 112644-112644
Closed Access | Times Cited: 1
Moving-Feature-Driven Label Propagation for Training Data Generation from Target Domains
Taegeon Kim, Wei‐Chih Chern, Seokhwan Kim, et al.
(2024)
Closed Access
Near-Miss Fall Classification of Construction Workers Using Wearable Sound Signals
Fangxin Li, Minkoo Kim, Julian Pratama Putra Thedja, et al.
(2023)
Closed Access
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