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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:

A novel method for asphalt pavement crack classification based on image processing and machine learning
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Engineering With Computers (2018) Vol. 35, Iss. 2, pp. 487-498
Closed Access | Times Cited: 178

Showing 26-50 of 178 citing articles:

Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning‐Assisted Image Processing Approach
Licun Yu, Shuanhai He, Xiaosong Liu, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 29
Computer Vision Based Quality Control for Additive Manufacturing Parts
Rui Nascimento, Isabel Martins, Thiago Assis Dutra, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 10, pp. 3241-3256
Closed Access | Times Cited: 29
Width Attention based Convolutional Neural Network for Retinal Vessel Segmentation
Dora E. Alvarado-Carrillo, Oscar Dalmau
Expert Systems with Applications (2022) Vol. 209, pp. 118313-118313
Closed Access | Times Cited: 28
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review
Munish Rathee, Boris Bačić, Maryam Doborjeh
Sensors (2023) Vol. 23, Iss. 12, pp. 5656-5656
Open Access | Times Cited: 17
Efficient LBP-GLCM texture analysis for asphalt pavement raveling detection using eXtreme Gradient Boost
Mohammad Hassan Daneshvari, Ebrahim Nourmohammadi, Mahmoud Ameri, et al.
Construction and Building Materials (2023) Vol. 401, pp. 132731-132731
Closed Access | Times Cited: 16
BIM Library Transplant: Bridging Human Expertise and Artificial Intelligence for Customized Design Detailing
Suhyung Jang, Ghang Lee
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 2
Closed Access | Times Cited: 6
Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-16
Open Access | Times Cited: 55
Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks
Jing Chen, Mohamed Baker Alawieh, Yibo Lin, et al.
IEEE Access (2020) Vol. 8, pp. 25372-25382
Open Access | Times Cited: 45
Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field
Gang Li, Qiangwei Liu, Wei Ren, et al.
Measurement (2020) Vol. 170, pp. 108693-108693
Closed Access | Times Cited: 45
A New Identification Method for Surface Cracks from UAV Images Based on Machine Learning in Coal Mining Areas
Fan Zhang, Zhenqi Hu, Yaokun Fu, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1571-1571
Open Access | Times Cited: 40
Using a Random Forest Model to Predict the Location of Potential Damage on Asphalt Pavement
Xiaogang Guo, Peiwen Hao
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10396-10396
Open Access | Times Cited: 39
Pavement crack detection using hessian structure propagation
Qi Chen, Yuchun Huang, Hui Sun, et al.
Advanced Engineering Informatics (2021) Vol. 49, pp. 101303-101303
Closed Access | Times Cited: 38
An integrated machine learning model for automatic road crack detection and classification in urban areas
Abbas Ahmadi, Sadjad Khalesi, Amir Golroo
International Journal of Pavement Engineering (2021) Vol. 23, Iss. 10, pp. 3536-3552
Closed Access | Times Cited: 36
Hierarchical Convolutional Neural Network With Feature Preservation and Autotuned Thresholding for Crack Detection
Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, et al.
IEEE Access (2021) Vol. 9, pp. 60201-60214
Open Access | Times Cited: 34
Automatic detection of building surface cracks using UAV and deep learning‐combined approach
Jiehui Wang, Pujin Wang, Lei Qu, et al.
Structural Concrete (2024) Vol. 25, Iss. 4, pp. 2302-2322
Closed Access | Times Cited: 5
A comprehensive evaluation method for dust pollution: Digital image processing and deep learning approach
Shaofeng Wang, Jiangjiang Yin, Zilong Zhou
Journal of Hazardous Materials (2024) Vol. 475, pp. 134761-134761
Closed Access | Times Cited: 5
Research on road surface crack detection based on SegNet network
Cunge Guo, Wenqi Gao, Dongmei Zhou
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 4
Enhanced flow number prediction of asphalt mixtures using stacking ensemble-based machine learning model and grey relational analysis
Yunhao Guan, Biwei Zhang, Zuoqiang Li, et al.
Construction and Building Materials (2025) Vol. 463, pp. 140001-140001
Closed Access
DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation
Yidan Yan, Junding Sun, Hongyuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110411-110411
Closed Access
Generative adversarial network based on domain adaptation for crack segmentation in shadow environments
Yingchao Zhang, Cheng Liu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Detection and localization of pavement diseases via edge computing device
Jiashun Zhou, Yunfei Liu, Kangjie Lu, et al.
Journal of Intelligent Transportation Systems (2025), pp. 1-20
Closed Access
Visual-Based Deep Convolutional Neural Network Method for Detecting Damage in Bridge Plate Rubber Bearings
Yongkang Chen, Weirong Li, Guangjun Sun, et al.
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters
Nhat‐Duc Hoang
Computational Intelligence and Neuroscience (2018) Vol. 2018, pp. 1-18
Open Access | Times Cited: 44
Convolutional neural network for automated classification of jointed plain concrete pavement conditions
Yung‐An Hsieh, Zhongyu Yang, Yichang Tsai
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 11, pp. 1382-1397
Closed Access | Times Cited: 34
Smart Structural Health Monitoring of Flexible Pavements Using Machine Learning Methods
Nader Karballaeezadeh, Danial Mohammadzadeh S., Dariush Moazemi, et al.
Coatings (2020) Vol. 10, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 33

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