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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:

Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning
Tian Xia, Jian Yang, Long Chen
Automation in Construction (2021) Vol. 133, pp. 103992-103992
Open Access | Times Cited: 75

Showing 1-25 of 75 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: 102
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: 71
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 44
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar, et al.
Information Fusion (2024) Vol. 113, pp. 102601-102601
Open Access | Times Cited: 17
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 | Times Cited: 2
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: 53
Segmentation of large-scale masonry arch bridge point clouds with a synthetic simulator and the BridgeNet neural network
Yixiong Jing, Brian Sheil, Sinan Acikgoz
Automation in Construction (2022) Vol. 142, pp. 104459-104459
Open Access | Times Cited: 46
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: 32
Point cloud-based dimensional quality assessment of precast concrete components using deep learning
Jiangpeng Shu, Wenhao Li, Congguang Zhang, et al.
Journal of Building Engineering (2023) Vol. 70, pp. 106391-106391
Closed Access | Times Cited: 30
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: 30
Deep Learning and Image Recognition
Chaoyang Li, Xiaohan Li, Manni Chen, et al.
2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) (2023), pp. 557-562
Closed Access | Times Cited: 27
A lightweight Transformer‐based neural network for large‐scale masonry arch bridge point cloud segmentation
Yixiong Jing, Brian Sheil, Sinan Acikgoz
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 16, pp. 2427-2438
Open Access | Times Cited: 13
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: 11
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: 10
Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges
Yihai Fang, Stergios Α. Mitoulis, Daniel Boddice, et al.
Results in Engineering (2025), pp. 104289-104289
Open Access | Times Cited: 1
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 | Times Cited: 1
An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion
Hua‐Ping Wan, Wei Zhang, Yi Chen, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access | Times Cited: 1
Image-based scan-to-BIM for interior building component reconstruction
Mun On Wong, Yifeng Sun, Huaquan Ying, et al.
Automation in Construction (2025) Vol. 173, pp. 106091-106091
Closed Access | Times Cited: 1
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: 23
Automated geometric digital twinning of bridges from segmented point clouds by parametric prototype models
M. Saeed Mafipour, Simon Vilgertshofer, André Borrmann
Automation in Construction (2023) Vol. 156, pp. 105101-105101
Open Access | Times Cited: 20
Instance and semantic segmentation of point clouds of large metallic truss bridges
Daniel Lamas, Andrés Justo, Mario Soilán, et al.
Automation in Construction (2023) Vol. 151, pp. 104865-104865
Open Access | Times Cited: 18
Quality assurance for building components through point cloud segmentation leveraging synthetic data
Hao Xuan Zhang, Zhengbo Zou
Automation in Construction (2023) Vol. 155, pp. 105045-105045
Closed Access | Times Cited: 17
An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes
Niannian Wang, Duo Ma, Xueming Du, et al.
Tunnelling and Underground Space Technology (2023) Vol. 143, pp. 105480-105480
Closed Access | Times Cited: 17
Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review
Ali Taheri, John Sobanjo
Infrastructures (2024) Vol. 9, Iss. 6, pp. 90-90
Open Access | Times Cited: 7
Point Cloud–Based Concrete Surface Defect Semantic Segmentation
Neshat Bolourian, Majid Nasrollahi, Fardin Bahreini, et al.
Journal of Computing in Civil Engineering (2022) Vol. 37, Iss. 2
Closed Access | Times Cited: 26
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