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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 robust structural vibration recognition system based on computer vision
Qiankun Zhu, Depeng Cui, Qiong Zhang, et al.
Journal of Sound and Vibration (2022) Vol. 541, pp. 117321-117321
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Motion magnification for video-based vibration measurement of civil structures: A review
Kui Luo, Xuan Kong, Jinzhao Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111681-111681
Closed Access | Times Cited: 20
Target-free measurement of cable forces based on computer vision and equivalent frequency difference
Kui Luo, Xuan Kong, Lu Deng, et al.
Engineering Structures (2024) Vol. 314, pp. 118390-118390
Closed Access | Times Cited: 18
Target-free recognition of cable vibration in complex backgrounds based on computer vision
Weidong Wang, Depeng Cui, Chengbo Ai, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110392-110392
Closed Access | Times Cited: 26
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: 23
Vision-based automatic structural motion estimation in presence of 3D camera motion effects
Enjian Cai, Yi Zhang, Xinzheng Lu, et al.
Automation in Construction (2024) Vol. 159, pp. 105275-105275
Closed Access | Times Cited: 9
Applications of optical flow methods and computer vision in structural health monitoring for enhanced modal identification
Kemal Hacıefendioğlu, Volkan Kahya, Maria Giuseppina Limongelli, et al.
Structures (2024) Vol. 69, pp. 107414-107414
Closed Access | Times Cited: 7
Model-informed deep learning-based compressive sensing for resampling and recovering 2D SHM vision data
Enjian Cai, Yi Zhang, Xinzheng Lu, et al.
Automation in Construction (2024) Vol. 160, pp. 105295-105295
Closed Access | Times Cited: 5
Estimating structural motions in extreme environmental conditions——A dynamic correlation filter based computer vision approach
Enjian Cai, Yi Zhang, Xinzheng Lu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111398-111398
Closed Access | Times Cited: 5
Subspace-based modal identification and uncertainty quantification from video image flows
Boualem Merainani, Bian Xiong, Vincent Baltazart, et al.
Journal of Sound and Vibration (2023) Vol. 569, pp. 117957-117957
Open Access | Times Cited: 11
Full-field modal identification of cables based on subpixel edge detection and dual matching tracking method
Jinxin Yi, Xuan Kong, Jinzhao Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112321-112321
Closed Access
An overview of multi-modal sensing systems and the potential of ISAC technologies in SHM
Z Z Zhu, Jie Yang, Chao-Kai Wen, et al.
Physical Communication (2025), pp. 102614-102614
Closed 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
Estimation of cable tension in large-span cable-stayed bridges using image super-resolution reconstruction technology
Hao Xue, Zhenrui Peng, Hong Yin
Structures (2025) Vol. 75, pp. 108701-108701
Closed Access
Research on wide-area displacement monitoring based on rotating platform and binocular vision
Depeng Cui, Weidong Wang, Yuqiang He, et al.
Measurement (2025), pp. 117463-117463
Closed Access
Visual vibration measurement of rotating bodies with effective time–frequency characterization at constant and variable rotational speeds
Feng Ding, Sen Wang, Chang Liu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 234, pp. 112776-112776
Closed Access
Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications
Claudia Ferraris, Gianluca Amprimo, Giuseppe Pettiti
Signals (2023) Vol. 4, Iss. 3, pp. 539-574
Open Access | Times Cited: 8
Unveiling the impact of organic phase aging on the long-term damping capacity of cement-styrene butadiene rubber composites
Zonglin Xie, Gongkun Xiang, Fuwen Zhong, et al.
Construction and Building Materials (2024) Vol. 437, pp. 136916-136916
Closed Access | Times Cited: 2
Phase-based motion estimation and SVR smooth for target-free 3D deformation measurement using stereophotogrammetry
Junying Wang, Qiankun Zhu, Qiong Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110893-110893
Closed Access | Times Cited: 4
Evaluation of the impact of filter types and parameters upon the accuracy of phase-based optical flow method with a complex steerable pyramid
Zhaoxin Peng, Wang Xian, Zhiliang Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0308943-e0308943
Open Access | Times Cited: 1
Two-dimensional structural motion estimation via analytical signal enhancement of phase-based video processing
Mengzhu Li, Gang Liu, Zhu Mao, et al.
Journal of Sound and Vibration (2023) Vol. 553, pp. 117630-117630
Closed Access | Times Cited: 3
Standard sine motion video-based virtual traceability method for monocular vision low-frequency vibration measurements
Ming Yang, Sifan Mo, Chenguang Cai, et al.
Optics Letters (2023) Vol. 48, Iss. 13, pp. 3617-3617
Closed Access | Times Cited: 1
A LOW-Cost Multi-Frequency Testing Platform for Non-Contact Vibration Measurement
Yuansheng Cheng, Zufeng Zhang, Grzegorz Królczyk, et al.
IEEE Instrumentation & Measurement Magazine (2023) Vol. 26, Iss. 8, pp. 48-54
Closed Access | Times Cited: 1
A Hybrid Perspective of Vision-Based Methods for Estimating Structural Displacements Based on Mask Region-Based Convolutional Neural Networks
Chuanchang Xu, Cass Wai Gwan Lai, Yangchun Wang, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2024) Vol. 10, Iss. 2
Closed Access
Application of Scirpus grossus fiber as a sound absorber
Suhaeri Suhaeri, Mohamad Ali Fulazzaky, Husaini Husaini, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28961-e28961
Open Access
A Novel Method for Full‐Field Scale Factor Calculation under Off‐Axis Measurements for Vision‐Based Structural Multipoint Displacement Measurement and Health Monitoring
Guohua Zhai, Zhisen Tan, Yabin Liang
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
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