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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:

Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Tatsuro Yamane, Pang-jo CHUN, Ji Dang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2391-2407
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Intelligent recognition of defects in high‐speed railway slab track with limited dataset
Xiaopei Cai, Xueyang Tang, Shuo Pan, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 6, pp. 911-928
Open Access | Times Cited: 31
An integration–competition network for bridge crack segmentation under complex scenes
Lixiang Sun, Yixin Yang, Guoxiong Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 617-634
Closed Access | Times Cited: 22
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network
Hong-Hu Chu, Pang-jo CHUN
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 575-594
Open Access | Times Cited: 22
Generative adversarial networks in construction applications
Chai Ping, Lei Hou, Guomin Zhang, et al.
Automation in Construction (2024) Vol. 159, pp. 105265-105265
Open Access | Times Cited: 13
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation
Pang-jo CHUN, T. Kikuta
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 17, pp. 2642-2661
Open Access | Times Cited: 13
Deep learning-based bridge damage cause estimation from multiple images using visual question answering
Tatsuro Yamane, Pang-jo CHUN, Ji Dang, et al.
Structure and Infrastructure Engineering (2024), pp. 1-14
Open Access | Times Cited: 9
Deep learning-based corrosion inspection of long-span bridges with BIM integration
K. Hattori, Keiichi Oki, Aya Sugita, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35308-e35308
Open Access | Times Cited: 8
Autonomous 3D vision‐based bolt loosening assessment using micro aerial vehicles
Xiao Pan, Sina Tavasoli, T.Y. Yang
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2443-2454
Open Access | Times Cited: 16
Implementation of explanatory texts output for bridge damage in a bridge inspection web system
Pang-jo CHUN, Hong-Hu Chu, Kota Shitara, et al.
Advances in Engineering Software (2024) Vol. 195, pp. 103706-103706
Open Access | Times Cited: 6
Attention‐optimized 3D segmentation and reconstruction system for sewer pipelines employing multi‐view images
Duo Ma, Niannian Wang, Hongyuan Fang, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access | Times Cited: 5
Autoencoder‐based method to assess bridge health monitoring data quality
Bowen Xiao, Jin Di, Jie Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 15, pp. 2367-2388
Open Access | Times Cited: 4
Automatic complex concrete crack detection and quantification based on point clouds and deep learning
Shihong Chen, Gao Fan, Jun Li, et al.
Engineering Structures (2025) Vol. 327, pp. 119635-119635
Open Access
Vehicle wheel load positioning method based on multiple projective planes
Kai Sun, Xu Jiang, Qiang Xu
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access
Development of a portable device for structural visual inspection
Jongbin Won, Minhyuk Song, Jong‐Woong Park
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Bridge damage identification using a small amount of damage labeling data
Hongshuo Sun, Li Song, Zhiwu Yu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Automated UAV image-to-BIM registration for planar and curved building façades using structure-from-motion and 3D surface unwrapping
Cheng Zhang, Yang Zou, Feng Wang, et al.
Automation in Construction (2025) Vol. 174, pp. 106148-106148
Open Access
3D reconstruction of building structures incorporating neural radiation fields and geometric constraints
Depeng Cui, Weidong Wang, Wenbo Hu, et al.
Automation in Construction (2024) Vol. 165, pp. 105517-105517
Closed Access | Times Cited: 3
A neural network‐based automated methodology to identify the crack causes in masonry structures
Antonino Iannuzzo, V. Musone, Eugenio Ruocco
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3
High‐resolution model reconstruction and bridge damage detection based on data fusion of unmanned aerial vehicles light detection and ranging data imagery
Hongze Li, Yanli Chen, Jia Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 8, pp. 1197-1217
Open Access | Times Cited: 7
Virtual reality visualisation of automatic crack detection for bridge inspection from 3D digital twin generated by UAV photogrammetry
Abdurahman Yasin Yiğit, Murat Uysal
Measurement (2024) Vol. 242, pp. 115931-115931
Closed Access | Times Cited: 2
Surrogate Model Development for Slope Stability Analysis Using Machine Learning
Xianfeng Li, Mayuko Nishio, Kentaro Sugawara, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10793-10793
Open Access | Times Cited: 6
Automated reconstruction model of a cross‐sectional drawing from stereo photographs based on deep learning
Jun Su Park, Hyo Seon Park
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 3, pp. 383-405
Closed Access | Times Cited: 5
Autonomous post‐disaster indoor navigation and survivor detection using low‐cost micro aerial vehicles
Sina Tavasoli, Sina Poorghasem, Xiao Pan, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 40, Iss. 1, pp. 130-144
Open Access | Times Cited: 1
Automatic steel girder inspection system for high‐speed railway bridge using hybrid learning framework
Tao Xu, Yunpeng Wu, Yong Qin, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access | Times Cited: 1
Automated Bridge Inspection Image Retrieval Based on Deep Similarity Learning and GPS
Benjamin E. Wogen, Jongseong Choi, Xin Zhang, et al.
Journal of Structural Engineering (2023) Vol. 150, Iss. 3
Closed Access | Times Cited: 3
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