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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:

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications
Xiao‐Wei Ye, Chuan‐Zhi Dong, T. Liu
Journal of Sensors (2016) Vol. 2016, pp. 1-10
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki
Engineering (2019) Vol. 5, Iss. 2, pp. 199-222
Open Access | Times Cited: 856
Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review
Dongming Feng, Maria Q. Feng
Engineering Structures (2017) Vol. 156, pp. 105-117
Closed Access | Times Cited: 602
Damage detection techniques for wind turbine blades: A review
Ying Du, Shengxi Zhou, Xingjian Jing, et al.
Mechanical Systems and Signal Processing (2019) Vol. 141, pp. 106445-106445
Closed Access | Times Cited: 331
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
Fiber Optic Shape Sensors: A comprehensive review
Ignazio Floris, José M. Adam, Pedro A. Calderón, et al.
Optics and Lasers in Engineering (2020) Vol. 139, pp. 106508-106508
Open Access | Times Cited: 224
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
Hamed Badihi, Youmin Zhang, Bin Jiang, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 6, pp. 754-806
Open Access | Times Cited: 138
A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives
Vahidreza Gharehbaghi, Ehsan Noroozinejad Farsangi, Mohammad Noori, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2209-2235
Closed Access | Times Cited: 133
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
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
Task-aware meta-learning paradigm for universal structural damage segmentation using limited images
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Engineering Structures (2023) Vol. 284, pp. 115917-115917
Closed Access | Times Cited: 41
A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Ruijie Cheng, Lei Hou, Sheng Xu
Buildings (2023) Vol. 13, Iss. 5, pp. 1143-1143
Open Access | Times Cited: 41
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
A geometrical morphology-enhanced computer vision approach for structural health assessment
Yixian Li, Zhipeng Zhao, Limin Sun, et al.
Structural Health Monitoring (2025)
Closed Access | Times Cited: 6
Large-scale wind turbine blade operational condition monitoring based on UAV and improved YOLOv5 deep learning model
Wanrun Li, Wenhai Zhao, Yongfeng Du
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112386-112386
Closed Access | Times Cited: 2
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
Automated Estimation of Reinforced Precast Concrete Rebar Positions Using Colored Laser Scan Data
Qian Wang, Jack C.P. Cheng, Hoon Sohn
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 9, pp. 787-802
Closed Access | Times Cited: 127
Development and field testing of a vision-based displacement system using a low cost wireless action camera
Darragh Lydon, Myra Lydon, Susan Taylor, et al.
Mechanical Systems and Signal Processing (2018) Vol. 121, pp. 343-358
Open Access | Times Cited: 124
Marker-free monitoring of the grandstand structures and modal identification using computer vision methods
Chuan‐Zhi Dong, Ozan Celik, F. Necati Çatbaş
Structural Health Monitoring (2018) Vol. 18, Iss. 5-6, pp. 1491-1509
Closed Access | Times Cited: 113
Identification of structural dynamic characteristics based on machine vision technology
Chuan‐Zhi Dong, Xiao‐Wei Ye, Tao Jin
Measurement (2017) Vol. 126, pp. 405-416
Closed Access | Times Cited: 103
Deep Learning–Based Enhancement of Motion Blurred UAV Concrete Crack Images
Yiqing Liu, Justin K. W. Yeoh, David K. H. Chua
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 5
Closed Access | Times Cited: 71
Vision-Based Vibration Monitoring of Structures and Infrastructures: An Overview of Recent Applications
Alessandro Zona
Infrastructures (2020) Vol. 6, Iss. 1, pp. 4-4
Open Access | Times Cited: 71
Structural design of reinforced concrete buildings based on deep neural networks
Pablo N. Pizarro, Leonardo M. Massone
Engineering Structures (2021) Vol. 241, pp. 112377-112377
Closed Access | Times Cited: 67
Non-Destructive Testing Applications for Steel Bridges
Seyed Saman Khedmatgozar Dolati, Nerma Caluk, Armin Mehrabi, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9757-9757
Open Access | Times Cited: 66
Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation
Hossein Taheri, Maria Gonzalez Bocanegra, Mohammad Mahdi Taheri
Sensors (2022) Vol. 22, Iss. 11, pp. 4055-4055
Open Access | Times Cited: 49
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
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