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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:

Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony
Nhat‐Duc Hoang, Quoc-Lam Nguyen, Dieu Tien Bui
Journal of Computing in Civil Engineering (2018) Vol. 32, Iss. 5
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Narges Kheradmandi, Vida Mehranfar
Construction and Building Materials (2022) Vol. 321, pp. 126162-126162
Closed Access | Times Cited: 234
The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis
Yue Hou, Qiuhan Li, Chen Zhang, et al.
Engineering (2020) Vol. 7, Iss. 6, pp. 845-856
Open Access | Times Cited: 210
Automatic classification of asphalt pavement cracks using a novel integrated generative adversarial networks and improved VGG model
Yun Que, Yi Dai, Xue Ji, et al.
Engineering Structures (2023) Vol. 277, pp. 115406-115406
Closed Access | Times Cited: 84
Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Ci-Jyun Liang, Thai-Hoa Le, Youngjib Ham, et al.
Automation in Construction (2024) Vol. 162, pp. 105369-105369
Open Access | Times Cited: 23
Optimizing ANN models with PSO for predicting short building seismic response
Hoang Nguyen, Hossein Moayedi, Loke Kok Foong, et al.
Engineering With Computers (2019) Vol. 36, Iss. 3, pp. 823-837
Closed Access | Times Cited: 142
Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning
Honglan Huang, Henry Burton
Journal of Building Engineering (2019) Vol. 25, pp. 100767-100767
Open Access | Times Cited: 138
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Minh-Tu Cao, Quoc‐Viet Tran, Ngoc‐Mai Nguyen, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101182-101182
Closed Access | Times Cited: 105
Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Şaban Öztürk, Rehan Ahmad, Nadeem Akhtar
Applied Soft Computing (2020) Vol. 97, pp. 106799-106799
Closed Access | Times Cited: 89
A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area
Dieu Tien Bui, Nhat‐Duc Hoang, Tien Dat Pham, et al.
Journal of Hydrology (2019) Vol. 575, pp. 314-326
Closed Access | Times Cited: 88
Review of image-based analysis and applications in construction
Kareem Mostafa, Tarek Hegazy
Automation in Construction (2020) Vol. 122, pp. 103516-103516
Closed Access | Times Cited: 86
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
Viet-Hung Dang, Nhat‐Duc Hoang, Le-Mai-Duyen Nguyen, et al.
Forests (2020) Vol. 11, Iss. 1, pp. 118-118
Open Access | Times Cited: 76
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
Deep Learning-Based Crack Detection: A Survey
Son Dong Nguyen, Thai Son Tran, Van Phuc Tran, et al.
International Journal of Pavement Research and Technology (2022) Vol. 16, Iss. 4, pp. 943-967
Closed Access | Times Cited: 49
Recent computer vision applications for pavement distress and condition assessment
Ayman H. El Hakea, Mohamed Waleed Fakhr
Automation in Construction (2022) Vol. 146, pp. 104664-104664
Closed Access | Times Cited: 39
CNN-based network with multi-scale context feature and attention mechanism for automatic pavement crack segmentation
Liang Jia, Xingyu Gu, Dong Jiang, et al.
Automation in Construction (2024) Vol. 164, pp. 105482-105482
Closed Access | Times Cited: 8
Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach
Nhat‐Duc Hoang
Advanced Engineering Informatics (2019) Vol. 40, pp. 110-120
Closed Access | Times Cited: 67
Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks
Kaige Zhang, Yingtao Zhang, Heng-Da Cheng
Journal of Computing in Civil Engineering (2020) Vol. 34, Iss. 3
Closed Access | Times Cited: 64
Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
Nhat‐Duc Hoang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 60
Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model
Xiaoran Feng, Liyang Xiao, Wei Li, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-22
Open Access | Times Cited: 57
A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis
Xuancang Wang, Jing Zhao, Qiqi Li, et al.
Journal of Advanced Transportation (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 51
Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization
Pang-jo CHUN, Tatsuro Yamane, Yukino Tsuzuki
Applied Sciences (2021) Vol. 11, Iss. 3, pp. 892-892
Open Access | Times Cited: 48
Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures
Yang Yu, Maria Rashidi, Bijan Samali, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 240-240
Open Access | Times Cited: 45
Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony
Chongchong Qi, Hai‐Bang Ly, Lei Lü, et al.
Construction and Building Materials (2021) Vol. 284, pp. 122857-122857
Closed Access | Times Cited: 42
Development of Deep Learning Model for the Recognition of Cracks on Concrete Surfaces
Tien-Thinh Le, Van-Hai Nguyen, Minh Vuong Le
Applied Computational Intelligence and Soft Computing (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 40
Developing a new deep learning CNN model to detect and classify highway cracks
Faris Elghaish, Saeed Talebi, Essam Abdellatef, et al.
Journal of Engineering Design and Technology (2021) Vol. 20, Iss. 4, pp. 993-1014
Open Access | Times Cited: 40
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