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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:

Vibration‐based semantic damage segmentation for large‐scale structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 6, pp. 579-596
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
Mohsen Azimi, Armin Dadras Eslamlou, Gökhan Pekcan
Sensors (2020) Vol. 20, Iss. 10, pp. 2778-2778
Open Access | Times Cited: 465
Real‐time regional seismic damage assessment framework based on long short‐term memory neural network
Yongjia Xu, Xinzheng Lu, Barbaros Çetiner, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 4, pp. 504-521
Closed Access | Times Cited: 137
State-of-the-art review on advancements of data mining in structural health monitoring
Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Zubaidah Ismail, et al.
Measurement (2022) Vol. 193, pp. 110939-110939
Closed Access | Times Cited: 126
Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network
Zhong Zhou, Junjie Zhang, Chenjie Gong
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2491-2510
Open Access | Times Cited: 96
Deep learning-based data analytics for safety in construction
Jiajing Liu, Hanbin Luo, Junxiao Liu
Automation in Construction (2022) Vol. 140, pp. 104302-104302
Closed Access | Times Cited: 76
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Kareem Eltouny, Mohamed Gomaa, Xiao Liang
Sensors (2023) Vol. 23, Iss. 6, pp. 3290-3290
Open Access | Times Cited: 61
AIoT-informed digital twin communication for bridge maintenance
Yan Gao, Haijiang Li, Guanyu Xiong, et al.
Automation in Construction (2023) Vol. 150, pp. 104835-104835
Open Access | Times Cited: 43
An In-Depth Study of Vibration Sensors for Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Sensors (2024) Vol. 24, Iss. 3, pp. 740-740
Open Access | Times Cited: 21
Uncertainty‐assisted deep vision structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 2, pp. 126-142
Closed Access | Times Cited: 119
Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold
Hassan Sarmadi, Ka‐Veng Yuen
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 9, pp. 1150-1167
Closed Access | Times Cited: 85
Dynamics‐based cross‐domain structural damage detection through deep transfer learning
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 1, pp. 24-54
Closed Access | Times Cited: 72
Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras
Alireza Valikhani, Azadeh Jaberi Jahromi, Samira Pouyanfar, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 2, pp. 213-226
Closed Access | Times Cited: 70
Structural damage detection and localization using decision tree ensemble and vibration data
Giulio Mariniello, Tommaso Pastore, Costantino Menna, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 9, pp. 1129-1149
Closed Access | Times Cited: 70
Bayesian‐optimized unsupervised learning approach for structural damage detection
Kareem Eltouny, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 10, pp. 1249-1269
Closed Access | Times Cited: 64
Large‐scale structural health monitoring using composite recurrent neural networks and grid environments
Kareem Eltouny, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 271-287
Closed Access | Times Cited: 57
Toward a general unsupervised novelty detection framework in structural health monitoring
Mohammad Hesam Soleimani‐Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1128-1145
Closed Access | Times Cited: 45
A night pavement crack detection method based on image‐to‐image translation
Chao Liu, Boqiang Xu
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 13, pp. 1737-1753
Closed Access | Times Cited: 45
SHM under varying environmental conditions: an approach based on model order reduction and deep learning
Matteo Torzoni, Luca Rosafalco, Andrea Manzoni, et al.
Computers & Structures (2022) Vol. 266, pp. 106790-106790
Closed Access | Times Cited: 43
Lost data neural semantic recovery framework for structural health monitoring based on deep learning
Kejie Jiang, Qiang Han, Xiuli Du
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1160-1187
Closed Access | Times Cited: 41
Large‐scale building damage assessment using a novel hierarchical transformer architecture on satellite images
Navjot Kaur, Cheng‐Chun Lee, Ali Mostafavi, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2072-2091
Open Access | Times Cited: 30
A review on structural health monitoring: past to present
Rakesh Katam, Venkata Dilip Kumar Pasupuleti, Prafulla Kalapatapu
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 9
Closed Access | Times Cited: 30
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 27
Deep generative Bayesian optimization for sensor placement in structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 9, pp. 1109-1127
Closed Access | Times Cited: 48
A rapid machine learning-based damage detection algorithm for identifying the extent of damage in concrete shear-wall buildings
Hossein Mahmoudi, Maryam Bitaraf, Mojtaba Salkhordeh, et al.
Structures (2022) Vol. 47, pp. 482-499
Closed Access | Times Cited: 30
Deep neural networks for crack detection inside structures
Fatahlla Moreh, Hao Lyu, Zarghaam Haider Rizvi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
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