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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 Novel Structural Damage Detection Method via Multisensor Spatial–Temporal Graph-Based Features and Deep Graph Convolutional Network
Pengming Zhan, Xianrong Qin, Qing Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 12

Showing 12 citing articles:

Heterogeneous graph attention network for rail fastener looseness detection using distributed acoustic sensing and accelerometer data fusion
Yiqing Dong, Yaowen Yang, Chengjia Han, et al.
Automation in Construction (2025) Vol. 172, pp. 106051-106051
Closed Access | Times Cited: 1
Research on quantitative identification method for wire rope wire breakage damage signals based on multi-decomposition information fusion
Hongyao Wang, Honglin Zheng, Jie Tian, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 89-97
Open Access | Times Cited: 6
Steel structural damage identification based on multisensor same-class graph and GraphSAGE network
Qi Liu, Jiaxing Wang, Hualin Dai, et al.
Structures (2025) Vol. 74, pp. 108388-108388
Closed Access
Spatial-temporal graph convolutional networks (STGCN) based method for localizing acoustic emission sources in composite panels
Zhimin Zhao, Nian-Zhong Chen
Composite Structures (2023) Vol. 323, pp. 117496-117496
Closed Access | Times Cited: 11
Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage
Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review
Haoyuan Chen, Xiaoqi Li, Chen Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 2
An exponential smoothing multi-head graph attention network (ESMGAT) method for damage zone localization on wind turbine blades
Zhimin Zhao, Nian-Zhong Chen
Composite Structures (2024) Vol. 342, pp. 118224-118224
Closed Access | Times Cited: 2
Graph oscillators: Physics-guided graph modeling of mass–spring–damper systems for trajectory prediction and damage localization
Zhao Chen, Nan Wang, Hao Sun
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111297-111297
Closed Access | Times Cited: 1
Dual-Graph Collaboration: Bidirectional Fusion Graph Convolution Network for Structure Multidefect Positioning and Assessment
Wenlong Xu, Bo Yang, Fengyang Bi, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 13284-13295
Closed Access | Times Cited: 1
Graph Neural Networks for building and civil infrastructure operation and maintenance enhancement
Sajith Wettewa, Lei Hou, Guomin Zhang
Advanced Engineering Informatics (2024) Vol. 62, pp. 102868-102868
Open Access | Times Cited: 1
Graph Feature Refinement and Fusion in Transformer for Structural Damage Detection
Tianjie Hu, Kejian Ma, Jianchun Xiao
Sensors (2024) Vol. 24, Iss. 13, pp. 4415-4415
Open Access
Semi-solid metal slag thickness distribution identification based on statistical temporal fusion of multi-source image for robotic operation
Jie Wu, Degang Xu, Yifan Lei, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Closed Access
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