Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique
Shengyuan Li, Xuefeng Zhao
Advances in Civil Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 180

Showing 1-25 of 180 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
Machine Learning for Crack Detection: Review and Model Performance Comparison
Yung‐An Hsieh, Yichang Tsai
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 5
Closed Access | Times Cited: 288
Anomaly detection of defects on concrete structures with the convolutional autoencoder
Jun Kang Chow, Zhi-bin Su, Jianhua Wu, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101105-101105
Closed Access | Times Cited: 252
Structural crack detection using deep convolutional neural networks
Ali Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, et al.
Automation in Construction (2021) Vol. 133, pp. 103989-103989
Closed Access | Times Cited: 233
Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine
Pang-jo CHUN, Shota Izumi, Tatsuro Yamane
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 1, pp. 61-72
Open Access | Times Cited: 190
Artificial Intelligence, Machine Learning, and Deep Learning in Structural Engineering: A Scientometrics Review of Trends and Best Practices
Arash Teymori Gharah Tapeh, M.Z. Naser
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 115-159
Closed Access | Times Cited: 156
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
Yue Pan, Gaowei Zhang, Limao Zhang
Automation in Construction (2020) Vol. 119, pp. 103357-103357
Closed Access | Times Cited: 142
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces
Elyas Asadi Shamsabadi, Chang Xu, Aravinda S. Rao, et al.
Automation in Construction (2022) Vol. 140, pp. 104316-104316
Closed Access | Times Cited: 128
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm
Yang Yu, Maria Rashidi, Bijan Samali, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 5, pp. 2244-2263
Closed Access | Times Cited: 122
Vision-based concrete crack detection using a hybrid framework considering noise effect
Yang Yu, Bijan Samali, Maria Rashidi, et al.
Journal of Building Engineering (2022) Vol. 61, pp. 105246-105246
Closed Access | Times Cited: 122
Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network
Yang Yu, Shiwei Liang, Bijan Samali, et al.
Engineering Structures (2022) Vol. 273, pp. 115066-115066
Closed Access | Times Cited: 71
Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images
Hina Inam, Naeem Ul Islam, Muhammad Usman Akram, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 1866-1866
Open Access | Times Cited: 40
Recent Trends in Prediction of Concrete Elements Behavior Using Soft Computing (2010–2020)
Masoomeh Mirrashid, Hosein Naderpour
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 3307-3327
Closed Access | Times Cited: 86
Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning
Tatsuro Yamane, Pang-jo CHUN
Journal of Advanced Concrete Technology (2020) Vol. 18, Iss. 9, pp. 493-504
Open Access | Times Cited: 84
Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study
Mehrdad Arashpour, Tuan Ngo, Heng Li
Journal of Building Engineering (2020) Vol. 33, pp. 101672-101672
Closed Access | Times Cited: 71
Automated defect inspection of concrete structures
Jun Kang Chow, Kuan-Fu Liu, Pin Siang Tan, et al.
Automation in Construction (2021) Vol. 132, pp. 103959-103959
Closed Access | Times Cited: 65
Machine learning-based real-time visible fatigue crack growth detection
Le Zhang, Zhichen Wang, Lei Wang, et al.
Digital Communications and Networks (2021) Vol. 7, Iss. 4, pp. 551-558
Open Access | Times Cited: 63
Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages
Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, et al.
Drones (2021) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 57
High-resolution concrete damage image synthesis using conditional generative adversarial network
Shengyuan Li, Xuefeng Zhao
Automation in Construction (2023) Vol. 147, pp. 104739-104739
Closed Access | Times Cited: 35
Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review
Md. Al-Masrur Khan, Seong‐Hoon Kee, Al‐Sakib Khan Pathan, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2400-2400
Open Access | Times Cited: 28
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 9
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: 9
Concrete Cracks Detection Using Convolutional NeuralNetwork Based on Transfer Learning
Chao Su, Wenjun Wang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 65
Artificial Neural Network-Based Automated Crack Detection and Analysis for the Inspection of Concrete Structures
Jung Jin Kim, Ah‐Ram Kim, Seong-Won Lee
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8105-8105
Open Access | Times Cited: 60
Remote inspection of RC structures using unmanned aerial vehicles and heuristic image processing
Diogo Ribeiro, Ricardo Santos, Anderson Shibasaki, et al.
Engineering Failure Analysis (2020) Vol. 117, pp. 104813-104813
Closed Access | Times Cited: 59
Page 1 - Next Page

Scroll to top