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-based automated productivity monitoring for on-site module installation in off-site construction
Jongyeon Baek, Daeho Kim, Byungjoo Choi
Developments in the Built Environment (2024) Vol. 18, pp. 100382-100382
Open Access | Times Cited: 10

Showing 10 citing articles:

Vision-based real-time progress tracking and productivity analysis of the concrete pouring process
Ruoxue Zhang, Ruyu Deng, Zhao Zhang, et al.
Developments in the Built Environment (2025), pp. 100609-100609
Open Access

Transformer-based deep learning model and video dataset for installation action recognition in offsite projects
Jun Young Jang, Eunbeen Jeong, Tae Wan Kim
Automation in Construction (2025) Vol. 172, pp. 106042-106042
Closed Access

Non-Contact Dimensional Quality Inspection System of Prefabricated Components Using 3D Matrix Camera
Wan-Qing Lyu, Xiwang Chen, Wenlong Han, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 837-837
Open Access

Simulated field assembly bending experiment and mechanical model of sink-insert joints for prefabricated two-wall-in-one diaphragm walls
Tong Qiu, Xiangsheng Chen, Dong Su, et al.
Engineering Structures (2025) Vol. 332, pp. 120109-120109
Closed Access

Monitoring concrete pouring progress using knowledge graph-enhanced computer vision
Fabian Pfitzner, Shiu‐Lok Hu, Alexander Braun, et al.
Automation in Construction (2025) Vol. 174, pp. 106117-106117
Open Access

Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Techniques
Dongchi Yao, Borja García de Soto
Buildings (2024) Vol. 14, Iss. 6, pp. 1561-1561
Open Access | Times Cited: 2

Future Prospects of the Assembly Model for MEP Systems in Chinese Buildings: A Whole Life Cycle Perspective
Chun Wang, Peng Ouyang, Xiaodong Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6818-6818
Open Access | Times Cited: 1

Vibrator Rack Pose Estimation for Monitoring the Vibration Quality of Concrete Using Improved YOLOv8-Pose and Vanishing Points
Bingyu Ren, Zheng Xiaofeng, Tao Guan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3174-3174
Open Access | Times Cited: 1

Intelligent construction benefits the public: evidence from the opinion analysis on social media
Lingxiao Wang, Jingfeng Yuan, Yudi Chen, et al.
Engineering Construction & Architectural Management (2024)
Closed Access

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