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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:

Semantic segmentation of bridge components based on hierarchical point cloud model
Jun S. Lee, Jeong-Jun Park, Young-Moo Ryu
Automation in Construction (2021) Vol. 130, pp. 103847-103847
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Digital twin enhanced BIM to shape full life cycle digital transformation for bridge engineering
Honghong Song, Gang Yang, Haijiang Li, et al.
Automation in Construction (2023) Vol. 147, pp. 104736-104736
Open Access | Times Cited: 89
Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review
Yang Su, Miaole Hou, Songnian Li
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 548-548
Open Access | Times Cited: 59
Point cloud and machine learning-based automated recognition and measurement of corrugated pipes and rebars for large precast concrete beams
Jiangpeng Shu, Xiaowu Zhang, Wenhao Li, et al.
Automation in Construction (2024) Vol. 165, pp. 105493-105493
Closed Access | Times Cited: 21
Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1
Review of artificial intelligence-based bridge damage detection
Yang Zhang, Ka‐Veng Yuen
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 9
Closed Access | Times Cited: 65
Automated semantic segmentation of bridge components from large-scale point clouds using a weighted superpoint graph
Xiaofei Yang, Enrique del Rey Castillo, Yang Zou, et al.
Automation in Construction (2022) Vol. 142, pp. 104519-104519
Closed Access | Times Cited: 46
Automatically extracting surfaces of reinforced concrete bridges from terrestrial laser scanning point clouds
Linh Truong‐Hong, Roderik Lindenbergh
Automation in Construction (2022) Vol. 135, pp. 104127-104127
Open Access | Times Cited: 43
Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiors
Difeng Hu, Vincent J.L. Gan, Chao Yin
Automation in Construction (2023) Vol. 152, pp. 104949-104949
Closed Access | Times Cited: 36
Semantic segmentation of bridge point clouds with a synthetic data augmentation strategy and graph-structured deep metric learning
Xiaofei Yang, Enrique del Rey Castillo, Yang Zou, et al.
Automation in Construction (2023) Vol. 150, pp. 104838-104838
Open Access | Times Cited: 29
Automating the retrospective generation of As-is BIM models using machine learning
Phillip Schönfelder, Angelina Aziz, Benedikt Faltin, et al.
Automation in Construction (2023) Vol. 152, pp. 104937-104937
Open Access | Times Cited: 26
Graph neural networks for construction applications
Yilong Jia, Jun Wang, Wenchi Shou, et al.
Automation in Construction (2023) Vol. 154, pp. 104984-104984
Closed Access | Times Cited: 22
Impediments in BIM implementation for the risk management of tall buildings
Ahsan Waqar, Idris Othman, Nasir Shafiq, et al.
Results in Engineering (2023) Vol. 20, pp. 101401-101401
Open Access | Times Cited: 22
Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions
Vahid Mousavi, Maria Rashidi, Masoud Mohammadi, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1887-1887
Open Access | Times Cited: 9
Deep learning-based 3D reconstruction of scaffolds using a robot dog
Juhyeon Kim, Duho Chung, Yo-Han Kim, et al.
Automation in Construction (2021) Vol. 134, pp. 104092-104092
Closed Access | Times Cited: 50
An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds
Ankang Ji, Alvin Wei Ze Chew, Xiaolong Xue, et al.
Automation in Construction (2022) Vol. 137, pp. 104187-104187
Closed Access | Times Cited: 36
Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation
Yunxiang Zhou, Ankang Ji, Limao Zhang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105554-105554
Closed Access | Times Cited: 28
Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models
Daniel Lamas, Andrés Justo, Mario Soilán, et al.
Automation in Construction (2023) Vol. 158, pp. 105176-105176
Open Access | Times Cited: 19
Region of interest (ROI) extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection
Xiao Jing-lin, Jian‐Sheng Fan, Yufei Liu, et al.
Automation in Construction (2023) Vol. 158, pp. 105226-105226
Closed Access | Times Cited: 16
Deep learning applications for point clouds in the construction industry
Hongzhe Yue, Qian Wang, Hongxiang Zhao, et al.
Automation in Construction (2024) Vol. 168, pp. 105769-105769
Closed Access | Times Cited: 6
Uncertainty-aware point cloud segmentation for infrastructure projects using Bayesian deep learning
Hristo Vassilev, Marius Laska, Jörg Blankenbach
Automation in Construction (2024) Vol. 164, pp. 105419-105419
Open Access | Times Cited: 5
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds
Chao Lin, Shuhei Abe, Shitao Zheng, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Instance segmentation of reinforced concrete bridge point clouds with transformers trained exclusively on synthetic data
Asad Ur Rahman, Vedhus Hoskere
Automation in Construction (2025) Vol. 173, pp. 106067-106067
Closed Access
Direct point-cloud-based numerical analysis using octree meshes
Junqi Zhang, Sascha Eisenträger, Yifan Zhan, et al.
Computers & Structures (2023) Vol. 289, pp. 107175-107175
Closed Access | Times Cited: 14
Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)
Difeng Hu, Vincent J.L. Gan, Ruoming Zhai
Automation in Construction (2024) Vol. 164, pp. 105473-105473
Closed Access | Times Cited: 4
Development of large-scale synthetic 3D point cloud datasets for vision-based bridge structural condition assessment
Mingyu Shi, Hyunjun Kim, Yasutaka Narazaki
Advances in Structural Engineering (2024)
Closed Access | Times Cited: 4
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