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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:

Capturing and Understanding Workers’ Activities in Far‐Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
Xiaochun Luo, Heng Li, Xincong Yang, et al.
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 34, Iss. 4, pp. 333-351
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Computer Vision Techniques in Construction: A Critical Review
Shuyuan Xu, Jun Wang, Wenchi Shou, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 5, pp. 3383-3397
Closed Access | Times Cited: 308
A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
Dong Van Dao, Hojjat Adeli, Haï-Bang Ly, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 830-830
Open Access | Times Cited: 181
Automated excavators activity recognition and productivity analysis from construction site surveillance videos
Chen Chen, Zhenhua Zhu, Amin Hammad
Automation in Construction (2019) Vol. 110, pp. 103045-103045
Closed Access | Times Cited: 155
Deep learning techniques for recommender systems based on collaborative filtering
Guilherme Brandão Martins, João Paulo Papa, Hojjat Adeli
Expert Systems (2020) Vol. 37, Iss. 6
Closed Access | Times Cited: 151
Deep learning-based data analytics for safety in construction
Jiajing Liu, Hanbin Luo, Junxiao Liu
Automation in Construction (2022) Vol. 140, pp. 104302-104302
Closed Access | Times Cited: 83
Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles
Jinwoo Kim, Seokho Chi
Automation in Construction (2019) Vol. 104, pp. 255-264
Closed Access | Times Cited: 132
Detecting safety helmet wearing on construction sites with bounding‐box regression and deep transfer learning
Jie Shen, Xin Xiong, Ying Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 2, pp. 180-196
Closed Access | Times Cited: 112
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
On-Site Construction Quality Inspection Using Blockchain and Smart Contracts
Haitao Wu, Botao Zhong, Heng Li, et al.
Journal of Management in Engineering (2021) Vol. 37, Iss. 6
Closed Access | Times Cited: 90
Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory
Xiuhui Wang, Wei Qi Yan
International Journal of Neural Systems (2019) Vol. 30, Iss. 01, pp. 1950027-1950027
Open Access | Times Cited: 88
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
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
Computer vision‐based recognition of 3D relationship between construction entities for monitoring struck‐by accidents
Xuzhong Yan, Hong Zhang, Heng Li
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 9, pp. 1023-1038
Closed Access | Times Cited: 78
Deep semantic segmentation for visual understanding on construction sites
Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 2, pp. 145-162
Closed Access | Times Cited: 60
Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review
Lei Hou, Haosen Chen, Guomin Zhang, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 821-821
Open Access | Times Cited: 58
Transforming knowledge management in the construction industry through information and communications technology: A 15-year review
Hui Deng, Yiwen Xu, Yichuan Deng, et al.
Automation in Construction (2022) Vol. 142, pp. 104530-104530
Closed Access | Times Cited: 44
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
Towards database-free vision-based monitoring on construction sites: A deep active learning approach
Jinwoo Kim, Jeongbin Hwang, Seokho Chi, et al.
Automation in Construction (2020) Vol. 120, pp. 103376-103376
Open Access | Times Cited: 67
Applications of Computer Vision in Monitoring the Unsafe Behavior of Construction Workers: Current Status and Challenges
Wenyao Liu, Qingfeng Meng, Zhen Li, et al.
Buildings (2021) Vol. 11, Iss. 9, pp. 409-409
Open Access | Times Cited: 55
Action recognition of construction workers under occlusion
Ziqi Li, Dongsheng Li
Journal of Building Engineering (2021) Vol. 45, pp. 103352-103352
Closed Access | Times Cited: 52
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
Context-aware safety assessment system for far-field monitoring
Wei‐Chih Chern, Jeongho Hyeon, Tam Nguyen, et al.
Automation in Construction (2023) Vol. 149, pp. 104779-104779
Closed Access | Times Cited: 17
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
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation
Bo Xiao, Yuxuan Zhang, Yuan Chen, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101372-101372
Open Access | Times Cited: 40
Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos
Shuai Tang, Mani Golparvar‐Fard
Journal of Computing in Civil Engineering (2021) Vol. 35, Iss. 6
Closed Access | Times Cited: 33
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