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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:

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

Showing 1-25 of 46 citing articles:

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
Deep learning-based pipe segmentation and geometric reconstruction from poorly scanned point clouds using BIM-driven data alignment
Wentao Yu, Jiangpeng Shu, Zihan Yang, et al.
Automation in Construction (2025) Vol. 173, pp. 106071-106071
Closed Access | Times Cited: 2
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
Seg2Tunnel: A hierarchical point cloud dataset and benchmarks for segmentation of segmental tunnel linings
Wei Lin, Brian Sheil, Pin Zhang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105735-105735
Closed Access | Times Cited: 12
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: 10
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
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
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: 22
From Scans to Parametric BIM: An Enhanced Framework Using Synthetic Data Augmentation and Parametric Modeling for Highway Bridges
Yang Liu, Yi-Chun Lin, Hubo Cai, et al.
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 3
Closed Access | Times Cited: 7
Comprehensive digital twin for infrastructure: A novel ontology and graph-based modelling paradigm
Tao Li, Yi Rui, Hehua Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102747-102747
Closed Access | Times Cited: 7
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: 6
Random bridge generator as a platform for developing computer vision-based structural inspection algorithms
Haojia Cheng, Wenhao Chai, Jiabao Hu, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 2, pp. 100098-100098
Open Access | Times Cited: 4
Development of parametric bridge BIM and PCD generation algorithms and PCD-based member segmentation
Min-Jin Lee, Da-Hyeon Yang, Jong-Han Lee
Advances in Engineering Software (2024) Vol. 194, pp. 103673-103673
Closed Access | Times Cited: 4
Anomaly detection of cracks in synthetic masonry arch bridge point clouds using fast point feature histograms and PatchCore
Yixiong Jing, Jia-Xing Zhong, Brian Sheil, et al.
Automation in Construction (2024) Vol. 168, pp. 105766-105766
Open Access | Times Cited: 4
From raw to refined: Data preprocessing for construction machine learning (ML), deep learning (DL), and reinforcement learning (RL) models
SeyedeZahra Golazad, Abbas Mohammadi, Abbas Rashidi, et al.
Automation in Construction (2024) Vol. 168, pp. 105844-105844
Closed Access | Times Cited: 4
Automatic generation of synthetic heritage point clouds: Analysis and segmentation based on shape grammar for historical vaults
Carlo Battini, Umberto Ferretti, Giorgia De Angelis, et al.
Journal of Cultural Heritage (2023) Vol. 66, pp. 37-47
Open Access | Times Cited: 10
TLSynth: A Novel Blender Add-On for Real-Time Point Cloud Generation from 3D Models
Emiliano Pérez, Adolfo Sánchez-Hermosell, Pilar Merchán
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 421-421
Open Access
Bridge point cloud semantic segmentation based on view consensus and cross-view self-prompt fusion
Yan Zeng, Huang Feng, Guikai Xiong, et al.
Automation in Construction (2025) Vol. 171, pp. 106003-106003
Closed Access
3D bridge segmentation using semi-supervised domain adaptation
Maximilian Kellner, Timothy König, Jan‐Iwo Jäkel, et al.
Automation in Construction (2025) Vol. 172, pp. 106021-106021
Open Access
Two-stage bridge point cloud segmentation by fusing deep learning and heuristic methods
Tian Zhang, Haonan Chen, Pengfei Li, et al.
Measurement (2025), pp. 117125-117125
Closed Access
A NURBS-based approach to the generation of geometric models for complex-shaped bridge using point clouds
He Zhang, Mindong Wu, Tengxin Lin, et al.
Engineering Structures (2025) Vol. 335, pp. 120324-120324
Closed Access
Unified framework for digital twins of bridges
Vedhus Hoskere, Delaram Hassanlou, Asad Ur Rahman, et al.
Automation in Construction (2025) Vol. 175, pp. 106214-106214
Closed Access
Structural geometry-informed 3D deep learning for segmental tunnel lining analysis in point clouds
Wei Lin, Brian Sheil, Pin Zhang, et al.
Automation in Construction (2025) Vol. 176, pp. 106281-106281
Closed Access
Game engine-driven synthetic point cloud generation method for LiDAR-based defect detection in sewers
Minghao Li, Xin Feng, Z. Wu, et al.
Tunnelling and Underground Space Technology (2025) Vol. 163, pp. 106755-106755
Closed Access
3D reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network
Juhyeon Kim, Jeehoon Kim, Yohan Kim, et al.
Automation in Construction (2023) Vol. 156, pp. 105108-105108
Closed Access | Times Cited: 9
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