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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:

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

Showing 1-25 of 78 citing articles:

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
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
Human-object interaction recognition for automatic construction site safety inspection
Shuai Tang, Dominic Roberts, Mani Golparvar‐Fard
Automation in Construction (2020) Vol. 120, pp. 103356-103356
Closed Access | Times Cited: 95
Virtual prototyping- and transfer learning-enabled module detection for modular integrated construction
Zhenjie Zheng, Zhiqian Zhang, Wei Pan
Automation in Construction (2020) Vol. 120, pp. 103387-103387
Closed Access | Times Cited: 87
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
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
Excavator 3D pose estimation using deep learning and hybrid datasets
Amin Assadzadeh, Mehrdad Arashpour, Heng Li, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101875-101875
Open Access | Times Cited: 30
Computer vision and IoT research landscape for health and safety management on construction sites
Sameen Arshad, Olúgbénga O. Akinadé, Sururah A. Bello, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107049-107049
Open Access | Times Cited: 25
A lightweight face-assisted object detection model for welding helmet use
Weiming Chen, Changfan Li, Hailin Guo
Expert Systems with Applications (2023) Vol. 221, pp. 119764-119764
Closed Access | Times Cited: 24
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
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
Evidential transformer for buried object detection in ground penetrating radar signals and interval‐based bounding box
Tong Zheng, Yiming Zhang, Tao Ma
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access | Times Cited: 1
Vision-based excavator pose estimation using synthetically generated datasets with domain randomization
Amin Assadzadeh, Mehrdad Arashpour, Ioannis Brilakis, et al.
Automation in Construction (2021) Vol. 134, pp. 104089-104089
Open Access | Times Cited: 52
A vision-based method for automatic tracking of construction machines at nighttime based on deep learning illumination enhancement
Bo Xiao, Qiang Lin, Yuan Chen
Automation in Construction (2021) Vol. 127, pp. 103721-103721
Closed Access | Times Cited: 49
Impact of owners’ safety management behavior on construction workers’ unsafe behavior
Zhitian Zhang, Hongling Guo, Puzhe Gao, et al.
Safety Science (2022) Vol. 158, pp. 105944-105944
Closed Access | Times Cited: 34
Action Recognition Based on 3D Skeleton and LSTM for the Monitoring of Construction Workers’ Safety Harness Usage
Hongling Guo, Zhitian Zhang, Runsheng Yu, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 4
Closed Access | Times Cited: 19
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
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
Proactive proximity monitoring with instance segmentation and unmanned aerial vehicle‐acquired video‐frame prediction
Seongdeok Bang, Yeji Hong, Hyoungkwan Kim
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 6, pp. 800-816
Closed Access | Times Cited: 35
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 computer vision‐based deep learning model to detect wrong‐way driving using pan–tilt–zoom traffic cameras
Arya Haghighat, Anuj Sharma
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 1, pp. 119-132
Closed Access | Times Cited: 28
Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry
Linjun Lu, Fei Dai
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 194-210
Closed Access | Times Cited: 25
Deep learning‐based automatic detection of muck types for earth pressure balance shield tunneling in soft ground
Dongming Zhang, Lei Fu, Hongwei Huang, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 7, pp. 940-955
Closed Access | Times Cited: 24
Intelligent monitoring and evaluation for the prefabricated construction schedule
Xuzhong Yan, Hong Zhang, Wenyu Zhang
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 391-407
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
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