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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:

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

Showing 1-25 of 92 citing articles:

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: 469
Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network
Zhong Zhou, Junjie Zhang, Chenjie Gong
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 6, pp. 762-780
Closed Access | Times Cited: 143
Review of image-based analysis and applications in construction
Kareem Mostafa, Tarek Hegazy
Automation in Construction (2020) Vol. 122, pp. 103516-103516
Closed Access | Times Cited: 88
Homography-based measurement of bridge vibration using UAV and DIC method
Gongfa Chen, Qiang Liang, Wentao Zhong, et al.
Measurement (2020) Vol. 170, pp. 108683-108683
Closed Access | Times Cited: 74
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: 41
Image-Based Structural Health Monitoring: A Systematic Review
John Mark G. Payawal, Dong Keon Kim
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 968-968
Open Access | Times Cited: 27
Model-informed deep learning strategy with vision measurement for damage identification of truss structures
Jiangpeng Shu, Congguang Zhang, Xiyuan Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 196, pp. 110327-110327
Closed Access | Times Cited: 23
Application of Digital Image Correlation in Structural Health Monitoring of Bridge Infrastructures: A Review
Mohammed A. Mousa, Mustafasanie M. Yussof, Ufuoma Joseph Udi, et al.
Infrastructures (2021) Vol. 6, Iss. 12, pp. 176-176
Open Access | Times Cited: 54
Fiber optic sensing of concrete cracking and rebar deformation using several types of cable
Shenghan Zhang, Han Liu, Abdoul Aziz Sandotin Coulibaly, et al.
Structural Control and Health Monitoring (2020) Vol. 28, Iss. 2
Open Access | Times Cited: 51
A compressive sensing method for processing and improving vision‐based target‐tracking signals for structural health monitoring
Luna Ngeljaratan, Mohamed A. Moustafa, Gökhan Pekcan
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 9, pp. 1203-1223
Closed Access | Times Cited: 41
Wireless SmartVision system for synchronized displacement monitoring of railroad bridges
Shaik Althaf V. Shajihan, Tu Hoang, Kirill Mechitov, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1070-1088
Closed Access | Times Cited: 35
Few-shot learning for structural health diagnosis of civil infrastructure
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102650-102650
Closed Access | Times Cited: 7
Variational mode decomposition-based multirate data-fusion framework for estimating structural dynamic displacement by integrating vision- and acceleration-based measurements
Zhenfen Jin, Guyuan Chen, Yanbo Niu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111252-111252
Closed Access | Times Cited: 6
Mapping deformations and inferring movements of masonry arch bridges using point cloud data
C. Ye, Sinan Acikgoz, Stephen Pendrigh, et al.
Engineering Structures (2018) Vol. 173, pp. 530-545
Open Access | Times Cited: 53
Video-based multiscale identification approach for tower vibration of a cable-stayed bridge model under earthquake ground motions
Jin Zhao, Yuequan Bao, Zhongguo Guan, et al.
Structural Control and Health Monitoring (2019) Vol. 26, Iss. 3, pp. e2314-e2314
Open Access | Times Cited: 38
A railway tunnel structural monitoring methodology proposal for predictive maintenance
Behzad V. Farahani, Francisco Barros, Pedro J. Sousa, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 8
Open Access | Times Cited: 34
Full-Field Bridge Deflection Monitoring with Off-Axis Digital Image Correlation
Long Tian, Zhao Jian-hui, Bing Pan, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5058-5058
Open Access | Times Cited: 30
Quantification of damage evolution in masonry walls subjected to induced seismicity
Vasilis Sarhosis, Dimitrios Dais, Eleni Smyrou, et al.
Engineering Structures (2021) Vol. 243, pp. 112529-112529
Open Access | Times Cited: 28
A material characterisation framework for assessing brickwork masonry arch bridges: From material level to component level testing
Bowen Liu, Anastasios Drougkas, Vasilis Sarhosis
Construction and Building Materials (2023) Vol. 397, pp. 132347-132347
Open Access | Times Cited: 11
Digital Image Correlation for Assessment of Bridges’ Technical State and Remaining Resource
Nadiia Kopiika, Yaroslav Blikharskyy
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
The Influence of Digital Image Correlation Parameters on the Accuracy of Elastic Property Identification of Brick and Mortar from Compression Stack Tests
Miles R. W. Judd, Marialuigia Sangirardi, Sinan Acikgoz
Lecture notes in civil engineering (2025), pp. 1049-1062
Closed Access
A vision-based deformation tracking for self-centering structures during shaking table tests
Hongmei Zhang, Fan Hu, Yuanfeng Duan, et al.
Engineering Structures (2025) Vol. 330, pp. 119800-119800
Closed Access
Recent advances in structural health diagnosis: a machine learning perspective
Yuequan Bao, Huabin Sun, Yang Xu, et al.
Advances in Bridge Engineering (2025) Vol. 6, Iss. 1
Open Access
A lightweight binocular vision‐supported framework for 3D structural dynamic response monitoring
Yujie Ruan, Tao Huang, Cheng Yuan, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Structural health monitoring using urban surveillance cameras: Self-calibrated computer vision for enhanced displacement measurement
Xiyu Wei, Chongyi Wang, Xiuli Wang, et al.
Structures (2025) Vol. 75, pp. 108714-108714
Closed Access
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