Open Access Helper

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:

Small and overlapping worker detection at construction sites
Minsoo Park, Dai Quoc Tran, JinYeong Bak, et al.
Automation in Construction (2023) Vol. 151, pp. 104856-104856
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Leveraging Semisupervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection
Dai Quoc Tran, Yuntae Jeon, Armstrong Aboah, et al.
Journal of Construction Engineering and Management (2024) Vol. 151, Iss. 1
Closed Access | Times Cited: 1
Machine learning-enabled autonomous operation for atomic force microscopes
Seongseok Kang, J H Park, Manhee Lee
Review of Scientific Instruments (2023) Vol. 94, Iss. 12
Open Access | Times Cited: 3
Deep Learning-based Visual Risk Warning System for Autonomous Driving
Chengqun Qiu, Hao Tang, Xixi Xu, et al.
Research Square (Research Square) (2024)
Open Access
Trend Analysis of Academic Research on Object Detection Based on UAV Data
Do Young Kim, Heegun Chong
Journal of Digital Contents Society (2024) Vol. 25, Iss. 6, pp. 1525-1534
Closed Access
Design of enterprise worker safety detection algorithm based on YOLO
Xin Li, Norriza Binti Hussin, Nor Alina Binti Ismail
(2024), pp. 20-20
Closed Access
Sscan: Spatial and Semantic Context-Aware Network for Worker Detection at Construction Site
Chunyu Xiang, Yuewei Lin, Bocheng Zhou, et al.
(2024)
Closed Access
PERFORMANCE OF THE YOLOV5 ALGORITHM TO DETECT HUMANS IN THE REAR EXCAVATOR AREA
Hanna Naili Syifa', Anan Nugroho
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 10, Iss. 1, pp. 197-207
Open Access
Real-Time Detection of Construction Objects on Oversized Excavation Sites by Enhanced YOLO_v7 Network Using UAV-Captured Videos
Shuai Zhao, Shaoming Liao, Yifeng Yang, et al.
Lecture notes in civil engineering (2024), pp. 975-981
Closed Access
Construction Site Monitoring for Disaster Resilience
Ajay Talele, Harshita Yadav, Tejas Hatedikar, et al.
Lecture notes in electrical engineering (2024), pp. 351-364
Closed Access
Worker Action Recognition in High Density Conditions based on Edge Device – Cloud Infrastructure
Hoang-Thanh Nguyen, Hoang-Viet Le, B.A.O. Nguyen, et al.
(2023), pp. 274-279
Closed Access | Times Cited: 1
Development of Construction Site Safety Monitoring Techniques Using Worker Positioning and BIM
Sebum Mun, Seongwoo Son, Changjun Lee, et al.
Korean Society of Hazard Mitigation (2023) Vol. 23, Iss. 3, pp. 53-60
Open Access
Real-Time Proximity Monitoring between Heavy Vehicles and Workers for Struck-By Accident Prevention on Construction Site
ChaeWon Hong, Minsoo Park, Yuntae Jeon, et al.
(2023)
Closed Access
Construction management using computer vision of the construction site
Olga Kuzina
Construction and Architecture (2023) Vol. 11, Iss. 4, pp. 34-34
Open Access
Deep Learning Based Pose Estimation of Scaffold Fall Accident Safety Monitoring
Seungsoo Lee, Seongwoo Son, Pa Pa Win Aung, et al.
Proceedings e report (2023), pp. 641-647
Closed Access
Deep Learning-Based Pose Estimation for Identifying Potential Fall Hazards of Construction Worker
Minsoo Park, Seungsoo Lee, Woonggyu Choi, et al.
Proceedings e report (2023), pp. 634-640
Closed Access
Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data
Dai Quoc Tran, Yuntae Jeon, Seongwoo Son, et al.
Proceedings e report (2023), pp. 625-633
Closed Access
Deep Learning-Based Pose Estimation for Identifying Potential Fall Hazards of Construction Worker
Minsoo Park, Seungsoo Lee, Woonggyu Choi, et al.
Proceedings e report (2023), pp. 634-640
Open Access
Deep Learning Based Pose Estimation of Scaffold Fall Accident Safety Monitoring
Seungsoo Lee, Seongwoo Son, Pa Pa Win Aung, et al.
Proceedings e report (2023), pp. 641-647
Open Access
Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data
Dai Quoc Tran, Yuntae Jeon, Seongwoo Son, et al.
Proceedings e report (2023), pp. 625-633
Open Access
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