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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:

Deep learning models for bridge deck evaluation using impact echo
Sattar Dorafshan, Hoda Azari
Construction and Building Materials (2020) Vol. 263, pp. 120109-120109
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Machine learning in concrete science: applications, challenges, and best practices
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 184
Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis
Mahmoud Owais, Abdullah Mohammed Alshehri, Jayadev Gyani, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123114-123114
Closed Access | Times Cited: 24
Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification, segmentation, and detection
Guidong Yang, Kangcheng Liu, Jihan Zhang, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129226-129226
Closed Access | Times Cited: 51
Effectiveness of infrared thermography for delamination detection in reinforced concrete bridge decks
Eberechi Ichi, Sattar Dorafshan
Automation in Construction (2022) Vol. 142, pp. 104523-104523
Closed Access | Times Cited: 43
Two-step detection of concrete internal condition using array ultrasound and deep learning
Yanqi Wu, Wang Yong-ping, Dan Li, et al.
NDT & E International (2023) Vol. 139, pp. 102945-102945
Closed Access | Times Cited: 26
Global sensitivity analysis for studying hot-mix asphalt dynamic modulus parameters
Mahmoud Owais, Ghada Moussa
Construction and Building Materials (2024) Vol. 413, pp. 134775-134775
Closed Access | Times Cited: 11
Innovative method for pavement multiple damages segmentation and measurement by the Road-Seg-CapsNet of feature fusion
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Construction and Building Materials (2022) Vol. 324, pp. 126719-126719
Closed Access | Times Cited: 35
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
Application of Nondestructive Testing Technology in Quality Evaluation of Plain Concrete and RC Structures in Bridge Engineering: A Review
Yuanxun Zheng, Shaoqiang Wang, Peng Zhang, et al.
Buildings (2022) Vol. 12, Iss. 6, pp. 843-843
Open Access | Times Cited: 33
Visual structural inspection datasets
Eric Bianchi, Matthew H. Hebdon
Automation in Construction (2022) Vol. 139, pp. 104299-104299
Open Access | Times Cited: 28
Global sensitivity analysis for seismic performance of shear wall with high-strength steel bars and recycled aggregate concrete
Lamiaa K. Idriss, Mahmoud Owais
Construction and Building Materials (2023) Vol. 411, pp. 134498-134498
Closed Access | Times Cited: 16
“Looking beneath the surface”: A visual-physical feature hybrid approach for unattended gauging of construction waste composition
Junjie Chen, Weisheng Lu, Fan Xue
Journal of Environmental Management (2021) Vol. 286, pp. 112233-112233
Closed Access | Times Cited: 40
Structural Crack Detection from Benchmark Data Sets Using Pruned Fully Convolutional Networks
Xiao‐Wei Ye, Tao Jin, Z. X. Li, et al.
Journal of Structural Engineering (2021) Vol. 147, Iss. 11
Closed Access | Times Cited: 38
Modeling Hot-Mix asphalt dynamic modulus using deep residual neural Networks: Parametric and sensitivity analysis study
Ghada Moussa, Mahmoud Owais
Construction and Building Materials (2021) Vol. 294, pp. 123589-123589
Closed Access | Times Cited: 37
Variance-based global sensitivity analysis for rear-end crash investigation using deep learning
Ghada Moussa, Mahmoud Owais, Essam Dabbour
Accident Analysis & Prevention (2021) Vol. 165, pp. 106514-106514
Closed Access | Times Cited: 34
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: 15
Internal defect detection quantification and three-dimensional localization based on impact echo and classification learning model
Yanqi Wu, Jian Zhang, Chenhao Gao, et al.
Measurement (2023) Vol. 218, pp. 113153-113153
Closed Access | Times Cited: 13
Contrastive learning for robust defect mapping in concrete slabs using impact echo
Ejup Hoxha, Jinglun Feng, Agnimitra Sengupta, et al.
Construction and Building Materials (2025) Vol. 461, pp. 139829-139829
Closed Access
AGSAM-Net: UAV route planning and visual guidance model for bridge surface defect detection
Rongji Li, Ziqian Wang
Image and Vision Computing (2025), pp. 105416-105416
Closed Access
An ANN-based ensemble model for change point estimation in control charts
Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
Applied Soft Computing (2021) Vol. 110, pp. 107604-107604
Closed Access | Times Cited: 31
Ballastless track arching recognition based on one-dimensional residual convolutional neural network and vehicle response
Xueyang Tang, Zelin Chen, Xiaopei Cai, et al.
Construction and Building Materials (2023) Vol. 408, pp. 133624-133624
Closed Access | Times Cited: 12
The equipment detection and localization of large-scale construction jobsite by far-field construction surveillance video based on improving YOLOv3 and grey wolf optimizer improving extreme learning machine
Tuocheng Zeng, Jiajun Wang, Bo Cui, et al.
Construction and Building Materials (2021) Vol. 291, pp. 123268-123268
Closed Access | Times Cited: 25
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection
Di Song, Feiyun Xu, Tianchi Ma
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2641-2656
Closed Access | Times Cited: 17
SDNET2021: Annotated NDE Dataset for Subsurface Structural Defects Detection in Concrete Bridge Decks
Eberechi Ichi, Faezeh Jafari, Sattar Dorafshan
Infrastructures (2022) Vol. 7, Iss. 9, pp. 107-107
Open Access | Times Cited: 17
Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition
Qingfu Li, Zongming Song
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5442-5442
Open Access | Times Cited: 16
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