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:

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki
Engineering (2019) Vol. 5, Iss. 2, pp. 199-222
Open Access | Times Cited: 851

Showing 26-50 of 851 citing articles:

Vision-based real-time structural vibration measurement through deep-learning-based detection and tracking methods
Xiao Pan, T.Y. Yang, Yifei Xiao, et al.
Engineering Structures (2023) Vol. 281, pp. 115676-115676
Closed Access | Times Cited: 97

The Current Development of Structural Health Monitoring for Bridges: A Review
Z.C. Deng, Minshui Huang, Neng Wan, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1360-1360
Open Access | Times Cited: 96

Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review
Eugen Valentin Butilă, Răzvan Gabriel Boboc
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 620-620
Open Access | Times Cited: 91

Crack detection and quantification for concrete structures using UAV and transformer
Wei Ding, Han Yang, Ke Yu, et al.
Automation in Construction (2023) Vol. 152, pp. 104929-104929
Closed Access | Times Cited: 84

Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network
Chaoqun Xiang, Wei Wang, Lu Deng, et al.
Automation in Construction (2022) Vol. 140, pp. 104346-104346
Closed Access | Times Cited: 77

Review of robot-based damage assessment for offshore wind turbines
Yiming Liu, Muhammad R. Hajj, Yi Bao
Renewable and Sustainable Energy Reviews (2022) Vol. 158, pp. 112187-112187
Closed Access | Times Cited: 76

Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction
Sizeng Zhao, Fei Kang, Junjie Li
Automation in Construction (2022) Vol. 143, pp. 104555-104555
Closed Access | Times Cited: 75

Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, et al.
Engineering Failure Analysis (2023) Vol. 149, pp. 107237-107237
Open Access | Times Cited: 73

A Review of Data Management and Visualization Techniques for Structural Health Monitoring Using BIM and Virtual or Augmented Reality
Ayan Sadhu, Jack E. Peplinski, Ali Mohammadkhorasani, et al.
Journal of Structural Engineering (2022) Vol. 149, Iss. 1
Closed Access | Times Cited: 72

Automatic Damage Detection and Diagnosis for Hydraulic Structures Using Drones and Artificial Intelligence Techniques
Yantao Zhu, Hongwu Tang
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 615-615
Open Access | Times Cited: 64

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

Review on smartphone sensing technology for structural health monitoring
Hassan Sarmadi, Alireza Entezami, Ka‐Veng Yuen, et al.
Measurement (2023) Vol. 223, pp. 113716-113716
Open Access | Times Cited: 58

Computer Vision-Based Bridge Inspection and Monitoring: A Review
Kui Luo, Xuan Kong, Jie Zhang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7863-7863
Open Access | Times Cited: 54

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review
Shuvo Dip Datta, Mobasshira Islam, Md. Habibur Rahman Sobuz, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26888-e26888
Open Access | Times Cited: 52

Lightweight semantic segmentation of complex structural damage recognition for actual bridges
Yang Xu, Yunlei Fan, Hui Li
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3250-3269
Closed Access | Times Cited: 48

Task-aware meta-learning paradigm for universal structural damage segmentation using limited images
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Engineering Structures (2023) Vol. 284, pp. 115917-115917
Closed Access | Times Cited: 41

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Ruijie Cheng, Lei Hou, Sheng Xu
Buildings (2023) Vol. 13, Iss. 5, pp. 1143-1143
Open Access | Times Cited: 40

Automatic concrete infrastructure crack semantic segmentation using deep learning
Bo Chen, Hua Zhang, Guijin Wang, et al.
Automation in Construction (2023) Vol. 152, pp. 104950-104950
Closed Access | Times Cited: 40

Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
Buildings (2024) Vol. 14, Iss. 1, pp. 220-220
Open Access | Times Cited: 31

Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks
Guanghao Zhai, Yongjia Xu, Billie F. Spencer
Structural Health Monitoring (2024)
Open Access | Times Cited: 19

Vision-based UAV Detection in Complex Backgrounds and Rainy Conditions
Pranita Singh, Keshav Gupta, Amit Kumar Jain, et al.
(2024), pp. 1097-1102
Closed Access | Times Cited: 17

Automated building damage assessment and large‐scale mapping by integrating satellite imagery, GIS, and deep learning
Abdullah M. Braik, Maria Koliou
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 15, pp. 2389-2404
Open Access | Times Cited: 15

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: 2

Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1

Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles
Vedhus Hoskere, Jong‐Woong Park, Hyungchul Yoon, et al.
Journal of Structural Engineering (2019) Vol. 145, Iss. 7
Closed Access | Times Cited: 137

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