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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:

Review of artificial intelligence-based bridge damage detection
Yang Zhang, Ka‐Veng Yuen
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 9
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Engineering Structures (2023) Vol. 279, pp. 115616-115616
Open Access | Times Cited: 65
Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis, et al.
Automation in Construction (2025) Vol. 170, pp. 105955-105955
Open Access | Times Cited: 6
Deep learning-based damage assessment of hinge joints for multi-girder bridges utilizing vehicle-induced bridge responses
Baoquan Wang, Yan Zeng, Dongming Feng
Engineering Structures (2025) Vol. 333, pp. 120148-120148
Closed Access | Times Cited: 2
The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges
Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 97-97
Open Access | Times Cited: 57
A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods
Mohammad Hassan Daneshvar, Hassan Sarmadi, Ka‐Veng Yuen
Measurement (2023) Vol. 208, pp. 112465-112465
Closed Access | Times Cited: 34
Advancing Bridge Structural Health Monitoring: Insights into Knowledge-Driven and Data-Driven Approaches
Shuai Wan, Shuhong Guan, Yunchao Tang
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 3, pp. 129-140
Open Access | Times Cited: 33
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching
Hassan Sarmadi, Alireza Entezami, Filipe Magalhães
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 32
Automating the retrospective generation of As-is BIM models using machine learning
Phillip Schönfelder, Angelina Aziz, Benedikt Faltin, et al.
Automation in Construction (2023) Vol. 152, pp. 104937-104937
Open Access | Times Cited: 30
Identification of concrete surface damage based on probabilistic deep learning of images
Yang Zhang, Yi‐Qing Ni, Xinyu Jia, et al.
Automation in Construction (2023) Vol. 156, pp. 105141-105141
Closed Access | Times Cited: 26
Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions
Vahid Mousavi, Maria Rashidi, Masoud Mohammadi, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1887-1887
Open Access | Times Cited: 11
Multimodal deep learning-based automatic generation of repair proposals for steel bridge shallow damage
Honghong Song, Xiaofeng Zhu, Haijiang Li, et al.
Automation in Construction (2025) Vol. 171, pp. 105961-105961
Closed Access | Times Cited: 2
AI-based bridge maintenance management: a comprehensive review
Farham Shahrivar, Amir Sidiq, Mojtaba Mahmoodian, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access | Times Cited: 1
Review: Research on product surface quality inspection technology based on 3D point cloud
Lintao Huo, Ying Liu, Yutu Yang, et al.
Advances in Mechanical Engineering (2023) Vol. 15, Iss. 3, pp. 168781322311595-168781322311595
Open Access | Times Cited: 23
Probabilistic autoencoder-based bridge damage assessment using train-induced responses
Muhammad Zohaib Sarwar, Daniel Cantero
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111046-111046
Open Access | Times Cited: 19
Synthesized Evaluation of Reinforced Concrete Bridge Defects, Their Non-Destructive Inspection and Analysis Methods: A Systematic Review and Bibliometric Analysis of the Past Three Decades
Eslam Mohammed Abdelkader, Tarek Zayed, Nour Faris
Buildings (2023) Vol. 13, Iss. 3, pp. 800-800
Open Access | Times Cited: 17
Neural network-based analytical solver for Fokker–Planck equation
Yang Zhang, Runfa Zhang, Ka‐Veng Yuen
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106721-106721
Closed Access | Times Cited: 14
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network
Youhao Ni, Hao Wang, Jianxiao Mao, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 6
Unsupervised quantitative structural damage identification method based on BiLSTM networks and probability distribution model
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118597-118597
Closed Access | Times Cited: 4
Artificial Intelligence-Based Cloud Planning and Migration to Cut the Cost of Cloud Sasibhushan Rao Chanthati
Sasibhushan Rao Chanthati
American Journal of Smart Technology and Solutions (2024) Vol. 3, Iss. 2, pp. 13-24
Open Access | Times Cited: 4
Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification
Yang Zhang, Ka‐Veng Yuen
Engineering Structures (2023) Vol. 278, pp. 115575-115575
Closed Access | Times Cited: 11
Modal Parameters Prediction and Damage Detection of Space Grid Structure under Environmental Effects Using Stacked Ensemble Learning
Qinghua Han, Qian Ma, Da-Zhi Dang, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 11
Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation
Lin-Feng Mei, Wang‐Ji Yan, Ka‐Veng Yuen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 203, pp. 110702-110702
Closed Access | Times Cited: 11
Unsupervised damage localization method based on GAN-BiLSTM response modeling
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Engineering Structures (2025) Vol. 328, pp. 119714-119714
Closed Access
Digital Twin-Based Management of Sewer Systems: Research Strategy for KaSyTwin Project
Sabine Hartmann, R. Valles, Annette Schmitt, et al.
Water (2025) Vol. 17, Iss. 3, pp. 299-299
Open Access
An open-source GIS app for digitalising bridge inspections and automating BIM model integration
Fidel Lozano, Angela Montalvo, Edison Atencio, et al.
Structure and Infrastructure Engineering (2025), pp. 1-12
Closed Access
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