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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:

3D displacement measurement model for health monitoring of structures using a motion capture system
S.W. Park, Hyung Seok Park, Jung‐Hoon Kim, et al.
Measurement (2014) Vol. 59, pp. 352-362
Closed Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

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: 598
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
Photogrammetry and optical methods in structural dynamics – A review
Javad Baqersad, Peyman Poozesh, Christopher Niezrecki, et al.
Mechanical Systems and Signal Processing (2016) Vol. 86, pp. 17-34
Closed Access | Times Cited: 455
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: 266
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique
Byunghyun Kim, Soojin Cho
Sensors (2018) Vol. 18, Iss. 10, pp. 3452-3452
Open Access | Times Cited: 254
A non-contact vision-based system for multipoint displacement monitoring in a cable-stayed footbridge
Yan Xu, James Brownjohn, Dali Kong
Structural Control and Health Monitoring (2018) Vol. 25, Iss. 5, pp. e2155-e2155
Open Access | Times Cited: 188
Noncontact cable force estimation with unmanned aerial vehicle and computer vision
Yongding Tian, Cheng Zhang, Shang Jiang, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 1, pp. 73-88
Closed Access | Times Cited: 138
State of the art in structural health monitoring of offshore and marine structures
Hadi Pezeshki, Hojjat Adeli, Dimitrios G. Pavlou, et al.
Proceedings of the Institution of Civil Engineers - Maritime Engineering (2023) Vol. 176, Iss. 2, pp. 89-108
Open Access | Times Cited: 90
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
Detection of Structural Components in Point Clouds of Existing RC Bridges
Ruodan Lu, Ioannis Brilakis, Campbell Middleton
Computer-Aided Civil and Infrastructure Engineering (2018) Vol. 34, Iss. 3, pp. 191-212
Open Access | Times Cited: 140
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
Vision-based structural displacement measurement: System performance evaluation and influence factor analysis
Xiao‐Wei Ye, Ting‐Hua Yi, Chuan‐Zhi Dong, et al.
Measurement (2016) Vol. 88, pp. 372-384
Open Access | Times Cited: 117
Structural health monitoring and seismic response assessment of bridge structures using target-tracking digital image correlation
Luna Ngeljaratan, Mohamed A. Moustafa
Engineering Structures (2020) Vol. 213, pp. 110551-110551
Closed Access | Times Cited: 96
INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES
Gene F. Sirca, Hojjat Adeli
Journal of Civil Engineering and Management (2018) Vol. 24, Iss. 7, pp. 508-515
Open Access | Times Cited: 87
Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures
Rih‐Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 774-789
Closed Access | Times Cited: 87
Computer vision based target-free 3D vibration displacement measurement of structures
Yanda Shao, Ling Li, Jun Li, et al.
Engineering Structures (2021) Vol. 246, pp. 113040-113040
Closed Access | Times Cited: 86
Homography‐based structural displacement measurement for large structures using unmanned aerial vehicles
Yufeng Weng, Jiazeng Shan, Zheng Feng Lu, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 9, pp. 1114-1128
Closed Access | Times Cited: 84
Practical Implementation of Structural Health Monitoring in Multi-Story Buildings
Arvindan Sivasuriyan, D. S. Vijayan, Wojciech Górski, et al.
Buildings (2021) Vol. 11, Iss. 6, pp. 263-263
Open Access | Times Cited: 77
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: 70
Real‐time structural displacement estimation by fusing asynchronous acceleration and computer vision measurements
Zhanxiong Ma, Jaemook Choi, Hoon Sohn
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 6, pp. 688-703
Closed Access | Times Cited: 62
Target-free 3D tiny structural vibration measurement based on deep learning and motion magnification
Yanda Shao, Li Ling, Jun Li, et al.
Journal of Sound and Vibration (2022) Vol. 538, pp. 117244-117244
Closed Access | Times Cited: 42
Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model
A. Scianna, Giuseppe Fulvio Gaglio, M. La Guardia
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 173-173
Open Access | Times Cited: 41
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
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: 33
Is High-Fidelity Important for Human-like Virtual Avatars in Human Computer Interactions?
Qiongdan Cao, Hui Yu, Paul Charisse, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 15-23
Open Access | Times Cited: 31
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