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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:

Review of machine-vision based methodologies for displacement measurement in civil structures
Yan Xu, James Brownjohn
Journal of Civil Structural Health Monitoring (2017) Vol. 8, Iss. 1, pp. 91-110
Open Access | Times Cited: 269

Showing 1-25 of 269 citing articles:

A review of computer vision–based structural health monitoring at local and global levels
Chuan‐Zhi Dong, F. Necati Çatbaş
Structural Health Monitoring (2020) Vol. 20, Iss. 2, pp. 692-743
Closed Access | Times Cited: 534
A literature review of next-generation smart sensing technology in structural health monitoring
Sandeep Sony, Shea Laventure, Ayan Sadhu
Structural Control and Health Monitoring (2019) Vol. 26, Iss. 3, pp. e2321-e2321
Open Access | Times Cited: 466
Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies
Mayank Mishra
Journal of Cultural Heritage (2020) Vol. 47, pp. 227-245
Closed Access | Times Cited: 190
Three decades of statistical pattern recognition paradigm for SHM of bridges
Elói Figueiredo, James Brownjohn
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 3018-3054
Open Access | Times Cited: 137
Recent advances in damage detection of wind turbine blades: A state-of-the-art review
Panida Kaewniam, Maosen Cao, Nizar Faisal Alkayem, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112723-112723
Closed Access | Times Cited: 72
Review on smartphone sensing technology for structural health monitoring
Hassan Sarmadi, Alireza Entezami, Ka‐Veng Yuen, et al.
Measurement (2023) Vol. 223, pp. 113716-113716
Open Access | Times Cited: 58
Computer Vision-Based Bridge Inspection and Monitoring: A Review
Kui Luo, Xuan Kong, Jie Zhang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7863-7863
Open Access | Times Cited: 54
Automatic concrete infrastructure crack semantic segmentation using deep learning
Bo Chen, Hua Zhang, Guijin Wang, et al.
Automation in Construction (2023) Vol. 152, pp. 104950-104950
Closed Access | Times Cited: 41
Drone-based displacement measurement of infrastructures utilizing phase information
Shien Ri, Jiaxing Ye, Nobuyuki Toyama, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Structural displacement monitoring using deep learning-based full field optical flow methods
Chuan‐Zhi Dong, Ozan Celik, F. Necati Çatbaş, et al.
Structure and Infrastructure Engineering (2019) Vol. 16, Iss. 1, pp. 51-71
Closed Access | Times Cited: 141
Image Registration-Based Bolt Loosening Detection of Steel Joints
Xiangxiong Kong, Jian Li
Sensors (2018) Vol. 18, Iss. 4, pp. 1000-1000
Open Access | Times Cited: 94
Sensing dynamic displacements in masonry rail bridges using 2D digital image correlation
Sinan Acikgoz, Matthew J. DeJong, Kenichi Soga
Structural Control and Health Monitoring (2018) Vol. 25, Iss. 8, pp. e2187-e2187
Open Access | Times Cited: 92
Computer vision‐based real‐time cable tension estimation in Dubrovnik cable‐stayed bridge using moving handheld video camera
Debasish Jana, Satish Nagarajaiah
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 5
Open Access | Times Cited: 75
Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study
Mehrdad Arashpour, Tuan Ngo, Heng Li
Journal of Building Engineering (2020) Vol. 33, pp. 101672-101672
Closed Access | Times Cited: 71
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods
Hassan Sarmadi, Alireza Entezami, M. Salar, et al.
Journal of Civil Structural Health Monitoring (2021) Vol. 11, Iss. 3, pp. 629-644
Closed Access | Times Cited: 64
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin
Haoqi Wang, Lindong Lv, Xupeng Li, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 1-12
Closed Access | Times Cited: 60
Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge
Debasish Jana, Satish Nagarajaiah, Yongchao Yang
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 9
Closed Access | Times Cited: 39
Three-dimensional structural displacement measurement using monocular vision and deep learning based pose estimation
Chujin Sun, Donglian Gu, Xinzheng Lu
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110141-110141
Closed Access | Times Cited: 39
Cable vibration measurement based on broad-band phase-based motion magnification and line tracking algorithm
Kui Luo, Xuan Kong, Xiuyan Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110575-110575
Closed Access | Times Cited: 39
Vision-based structural displacement measurement under ambient-light changes via deep learning and digital image processing
Bo Lu, Bingchuan Bai, Xuefeng Zhao
Measurement (2023) Vol. 208, pp. 112480-112480
Closed Access | Times Cited: 34
Phase-based vibration imaging for structural dynamics applications: Marker-free full-field displacement measurements with confidence measures
Yinan Miao, Yeseul Kong, Hyeonwoo Nam, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110418-110418
Closed Access | Times Cited: 22
Structural health monitoring of inland navigation structures and ports: a review on developments and challenges
Prateek Negi, Rolands Kromanis, Andries G. Dorée, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 605-645
Open Access | Times Cited: 22
A lightweight convolutional neural network for multipoint displacement measurements on bridge structures
Sen Wang, Sen Lin, R. J. Yang
Nonlinear Dynamics (2024) Vol. 112, Iss. 14, pp. 11745-11763
Closed Access | Times Cited: 13
Phase-based motion analysis for high-precision measurement of bridge deflection using drone imagery
Jiaxing Ye, Shien Ri
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112433-112433
Closed Access | Times Cited: 1
Swaying displacement measurement for structural monitoring using computer vision and an unmanned aerial vehicle
Tung Khuc, Tuấn Anh Nguyễn, Hieu Dao, et al.
Measurement (2020) Vol. 159, pp. 107769-107769
Closed Access | Times Cited: 68
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