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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:

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

Showing 1-25 of 47 citing articles:

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
Sikai Chen, Jiqian Dong, Paul Ha, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 7, pp. 838-857
Closed Access | Times Cited: 171
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 75
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
Combining computer vision with semantic reasoning for on-site safety management in construction
Haitao Wu, Botao Zhong, Heng Li, et al.
Journal of Building Engineering (2021) Vol. 42, pp. 103036-103036
Closed Access | Times Cited: 80
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
Transformer-based deep learning model and video dataset for unsafe action identification in construction projects
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Automation in Construction (2022) Vol. 146, pp. 104703-104703
Closed Access | Times Cited: 45
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
Artificial intelligence in construction: Topic-based technology mapping based on patent data
Guangbin Wang, Yiwei Zhou, Dongping Cao
Automation in Construction (2025) Vol. 172, pp. 106073-106073
Closed Access | Times Cited: 1
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
Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules
Weili Fang, Peter E.D. Love, Lieyun Ding, et al.
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 12, pp. 4120-4132
Closed Access | Times Cited: 37
3D convolutional neural network‐based one‐stage model for real‐time action detection in video of construction equipment
Seunghoon Jung, Jaewon Jeoung, Hyuna Kang, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 1, pp. 126-142
Closed Access | Times Cited: 35
A survey on teaching workplace skills to construction robots
Haitao Wu, Heng Li, Xin Fang, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117658-117658
Closed Access | Times Cited: 23
Visual–auditory learning network for construction equipment action detection
Seunghoon Jung, Jaewon Jeoung, Dong‐Eun Lee, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 14, pp. 1916-1934
Closed Access | Times Cited: 16
Automated daily report generation from construction videos using ChatGPT and computer vision
Bo Xiao, Lijun Wang, Yongpan Zhang, et al.
Automation in Construction (2024) Vol. 168, pp. 105874-105874
Closed Access | Times Cited: 5
Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources
Jinwoo Kim, Seokho Chi
Automation in Construction (2022) Vol. 141, pp. 104443-104443
Closed Access | Times Cited: 21
Recognizing object surface materials to adapt robotic disinfection in infrastructure facilities
Da Hu, Shuai Li
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 12, pp. 1521-1546
Closed Access | Times Cited: 20
Blockchain-Based Onsite Activity Management for Smart Construction Process Quality Traceability
Haitao Wu, Heng Li, Xiaochun Luo, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21554-21565
Closed Access | Times Cited: 13
Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset
Ali Ghelmani, Amin Hammad
Automation in Construction (2023) Vol. 154, pp. 105001-105001
Closed Access | Times Cited: 12
A self-adaptive multi-objective feature selection approach for classification problems
Yu Xue, Haokai Zhu, Ferrante Neri
Integrated Computer-Aided Engineering (2021) Vol. 29, Iss. 1, pp. 3-21
Open Access | Times Cited: 24
A data‐free, support vector machine‐based physics‐driven estimator for dynamic response computation
Huan Luo, Stephanie German Paal
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 1, pp. 26-48
Closed Access | Times Cited: 17
Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers
Ghazaleh Torabi, Amin Hammad, Nizar Bouguila
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 4
Closed Access | Times Cited: 17
Visual Analytics for Operation-Level Construction Monitoring and Documentation: State-of-the-Art Technologies, Research Challenges, and Future Directions
Jinwoo Kim
Frontiers in Built Environment (2020) Vol. 6
Open Access | Times Cited: 25
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data
Ali Ghelmani, Amin Hammad
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 13, pp. 2028-2053
Open Access | Times Cited: 3
Construction workers' unsafe behavior detection through adaptive spatiotemporal sampling and optimized attention based video monitoring
Mahdi Bonyani, Maryam Soleymani, Chao Wang
Automation in Construction (2024) Vol. 165, pp. 105508-105508
Closed Access | Times Cited: 3
Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships
Chen Chen, Zhenhua Zhu, Amin Hammad, et al.
Journal of Computing in Civil Engineering (2021) Vol. 35, Iss. 5
Closed Access | Times Cited: 18
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