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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:

Vision-based detection and visualization of dynamic workspaces
Xiaochun Luo, Heng Li, Hao Wang, et al.
Automation in Construction (2019) Vol. 104, pp. 1-13
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

A scientometric analysis and critical review of computer vision applications for construction
Pablo Martı́nez, Mohamed Al‐Hussein, Rafiq Ahmad
Automation in Construction (2019) Vol. 107, pp. 102947-102947
Closed Access | Times Cited: 185
Computer vision technologies for safety science and management in construction: A critical review and future research directions
Brian H.W. Guo, Yang Zou, Yihai Fang, et al.
Safety Science (2021) Vol. 135, pp. 105130-105130
Closed Access | Times Cited: 130
Real-time mixed reality-based visual warning for construction workforce safety
Shaoze Wu, Lei Hou, Guomin Zhang, et al.
Automation in Construction (2022) Vol. 139, pp. 104252-104252
Closed Access | Times Cited: 111
AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications
Ahmed Bin Kabir Rabbi, Idris Jeelani
Automation in Construction (2024) Vol. 164, pp. 105443-105443
Closed Access | Times Cited: 18
Vision-based robotic system for on-site construction and demolition waste sorting and recycling
Zeli Wang, Heng Li, Xintao Yang
Journal of Building Engineering (2020) Vol. 32, pp. 101769-101769
Closed Access | Times Cited: 106
Vision-Based Framework for Automatic Progress Monitoring of Precast Walls by Using Surveillance Videos during the Construction Phase
Zhichen Wang, Qilin Zhang, Bin Yang, et al.
Journal of Computing in Civil Engineering (2020) Vol. 35, Iss. 1
Closed Access | Times Cited: 99
Review of image-based analysis and applications in construction
Kareem Mostafa, Tarek Hegazy
Automation in Construction (2020) Vol. 122, pp. 103516-103516
Closed Access | Times Cited: 90
Detection of Personal Protective Equipment (PPE) Compliance on Construction Site Using Computer Vision Based Deep Learning Techniques
Venkata Santosh Kumar Delhi, R. Sankarlal, Albert Thomas
Frontiers in Built Environment (2020) Vol. 6
Open Access | Times Cited: 83
Vision-Based Construction Worker Activity Analysis Informed by Body Posture
Dominic Roberts, Wilfredo Torres Calderon, Shuai Tang, et al.
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 4
Closed Access | Times Cited: 79
Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement units
Junqi Zhao, Esther Obonyo
Advanced Engineering Informatics (2020) Vol. 46, pp. 101177-101177
Closed Access | Times Cited: 73
Deep-learning-based visual data analytics for smart construction management
Aritra Pal, Shang‐Hsien Hsieh
Automation in Construction (2021) Vol. 131, pp. 103892-103892
Closed Access | Times Cited: 70
Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification
JackC.P. Cheng, Peter Kok-Yiu Wong, Han Luo, et al.
Automation in Construction (2022) Vol. 139, pp. 104312-104312
Open Access | Times Cited: 66
Integrated worker detection and tracking for the safe operation of construction machinery
Hyojoo Son, Changwan Kim
Automation in Construction (2021) Vol. 126, pp. 103670-103670
Closed Access | Times Cited: 63
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction
Ting Kong, Weili Fang, Peter E.D. Love, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101400-101400
Closed Access | Times Cited: 62
Digital technology for quality management in construction: A review and future research directions
Hanbin Luo, Ling Lin, Ke Chen, et al.
Developments in the Built Environment (2022) Vol. 12, pp. 100087-100087
Open Access | Times Cited: 55
Advancing construction site workforce safety monitoring through BIM and computer vision integration
Almo Senja Kulinan, Minsoo Park, Pa Pa Win Aung, et al.
Automation in Construction (2023) Vol. 158, pp. 105227-105227
Closed Access | Times Cited: 34
Vision-based real-time process monitoring and problem feedback for productivity-oriented analysis in off-site construction
Xue Chen, Yiheng Wang, Jingwen Wang, et al.
Automation in Construction (2024) Vol. 162, pp. 105389-105389
Closed Access | Times Cited: 11
A Review of Computer Vision-Based Monitoring Approaches for Construction Workers’ Work-Related Behaviors
Jiaqi Li, Miao Qi, Zheng Zou, et al.
IEEE Access (2024) Vol. 12, pp. 7134-7155
Open Access | Times Cited: 10
Leveraging BIM for Enhanced Camera Allocation Planning at Construction Job Sites: A Voxel-Based Site Coverage and Overlapping Analysis
Si Van-Tien Tran, Doyeop Lee, Hai Chien Pham, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1880-1880
Open Access | Times Cited: 9
Evaluating the impact of proactive warning systems on worker safety performance: An immersive virtual reality study
Ming Zhang, Shihui Ma, Rui Xu, et al.
Safety Science (2025) Vol. 186, pp. 106774-106774
Closed Access | Times Cited: 1
Computer vision approaches for detecting missing barricades
Eugene Yan Tao Chian, Weili Fang, Yang Miang Goh, et al.
Automation in Construction (2021) Vol. 131, pp. 103862-103862
Closed Access | Times Cited: 45
A few-shot learning approach for database-free vision-based monitoring on construction sites
Jinwoo Kim, Seokho Chi
Automation in Construction (2021) Vol. 124, pp. 103566-103566
Closed Access | Times Cited: 43
A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge
Gionatan Gallo, Francesco Di Rienzo, Federico Garzelli, et al.
IEEE Access (2022) Vol. 10, pp. 110862-110878
Open Access | Times Cited: 36
Combining deep features and activity context to improve recognition of activities of workers in groups
Xiaochun Luo, Heng Li, Yantao Yu, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 9, pp. 965-978
Closed Access | Times Cited: 47
Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study
Zezhou Wu, Mingyang Jiang, Heng Li, et al.
Journal of Urban Technology (2020) Vol. 28, Iss. 1-2, pp. 29-53
Closed Access | Times Cited: 46
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