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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:

Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data
Sungkook Hong, Jihwan Yoon, Youngjib Ham, et al.
Automation in Construction (2023) Vol. 148, pp. 104748-104748
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Integrating text parsing and object detection for automated monitoring of finishing works in construction projects
Jai‐Ho Oh, Sungkook Hong, Byungjoo Choi, et al.
Automation in Construction (2025) Vol. 174, pp. 106139-106139
Closed Access | Times Cited: 2
IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber–Physical System Environment
Sehwan Park, Minkyo Youm, Junkyeong Kim
Sensors (2025) Vol. 25, Iss. 2, pp. 442-442
Open Access | Times Cited: 1
Scaffolding worker IMU time-series dataset for deep learning-based construction site behavior recognition
Minsoo Park, Seongwoo Son, Yuntae Jeon, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103232-103232
Closed Access | Times Cited: 1
Point cloud registration considering safety nets during scaffold installation using sensor fusion and deep learning
Juhyeon Kim, Jeehoon Kim, Sunwoong Paik, et al.
Automation in Construction (2024) Vol. 159, pp. 105277-105277
Closed Access | Times Cited: 7
Recent Advances in Wearable Healthcare Devices: From Material to Application
Xiao Luo, Handong Tan, Weijia Wen
Bioengineering (2024) Vol. 11, Iss. 4, pp. 358-358
Open Access | Times Cited: 6
Deep learning-based system for prediction of work at height in construction site
İbrahim Karataş
Heliyon (2025) Vol. 11, Iss. 2, pp. e41779-e41779
Open Access
Occlusion-aware and jitter-rejection 3D video real-time pose estimation for construction workers
Benyang Song, Jiajun Wang, Xiaoling Wang, et al.
Automation in Construction (2025) Vol. 171, pp. 106015-106015
Closed Access
Ready for departure: Factors to adopt Large Language Model (LLM)-based Artificial Intelligence (AI) technology in the architecture, engineering and construction (AEC) industry
Seokjae Heo
Results in Engineering (2025), pp. 104325-104325
Open Access
Behavioral safety modeling of insecurity degree of multi-feature of workers based on key point detection
Min Li, Xiaoming Yang, Shiliang Shi, et al.
Measurement (2025), pp. 117423-117423
Closed Access
Performance Analysis of Wearable Robotic Exoskeleton in Construction Tasks: Productivity and Motion Stability Assessment
Ju-Taek Oh, Gu-Young Cho, Hyunsoo Kim
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3808-3808
Open Access
Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles
Sua Yun, Sungkook Hong, Sungjoo Hwang, et al.
Automation in Construction (2025) Vol. 175, pp. 106178-106178
Closed Access
A Voxel-Based 3D reconstruction and action recognition method for construction workers
Jin Zhang, Daoming Wang, Xuehui An, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103203-103203
Closed Access
Enhancing computational thinking in construction education: The role of sensor data analytics with block-based programming
Mohammad Khalid, Abiola Akanmu, Homero Murzi, et al.
Journal of Information Technology in Construction (2025) Vol. 30, pp. 65-91
Open Access
SafetyGPT: An autonomous agent of electrical safety risks for monitoring workers’ unsafe behaviors
Wei Li, Fuqi Ma, Zhou Zuo, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 168, pp. 110672-110672
Closed Access
Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion
Jianbo Guo, Shuai Wang, Yiwei Mao, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108791-108791
Closed Access | Times Cited: 3
A Science Mapping Approach-Based Review of Construction Workers’ Safety-Related Behavior
Jing Feng, Xin Gao, Hujun Li, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 2
A critical review of the feasibility of emerging technologies for improving safety behavior on construction sites
Mohammad Tanvi Newaz, Mahmoud Ershadi, Marcus Jefferies, et al.
Journal of Safety Research (2024) Vol. 89, pp. 269-287
Open Access | Times Cited: 2
Monitoring and evaluating the status and behaviour of construction workers using wearable sensing technologies
Mingzhu Wang, Jiayu Chen, Ma Jun
Automation in Construction (2024) Vol. 165, pp. 105555-105555
Closed Access | Times Cited: 2
Proactive safety hazard identification using visual–text semantic similarity for construction safety management
Yiheng Wang, Bo Xiao, Ahmed Bouferguène, et al.
Automation in Construction (2024) Vol. 166, pp. 105602-105602
Closed Access | Times Cited: 2
Probing vision and language models for construction waste material recognition
Ying Sun, Zhaolin Gu, Bin Yang
Automation in Construction (2024) Vol. 166, pp. 105629-105629
Closed Access | Times Cited: 2
Massive-Scale construction dataset synthesis through Stable Diffusion for Machine learning training
Sungkook Hong, Byungjoo Choi, Youngjib Ham, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102866-102866
Closed Access | Times Cited: 2
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer
Junwei You, Ying Chen, Zhuoyu Jiang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17493-17504
Open Access | Times Cited: 1
A self-supervised learning-based approach for detection and classification of dam deformation monitoring abnormal data with imaging time series
Lei Wang, Xiaoling Wang, Jun Zhang, et al.
Structures (2024) Vol. 68, pp. 107148-107148
Closed Access | Times Cited: 1
Classification and Application of Deep Learning in Construction Engineering and Management – A Systematic Literature Review and Future Innovations
Qingze Li, Yang Yang, Gang Yao, et al.
Case Studies in Construction Materials (2024), pp. e04051-e04051
Open Access | Times Cited: 1
Detecting Activities Exposing Construction Workers to the Risk of Developing Carpal Tunnel Syndrome
Jae‐Hoon Lee, Changbum R. Ahn, Hoonyong Lee, et al.
Construction Research Congress 2022 (2024), pp. 528-537
Closed Access
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