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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 1-25 of 178 citing articles:

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: 88
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity classification
Nhat‐Duc Hoang, Tran Van-Duc
Automation in Construction (2023) Vol. 148, pp. 104767-104767
Closed Access | Times Cited: 65
Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion
Yang Yu, Azadeh Noori Hoshyar, Bijan Samali, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18697-18718
Closed Access | Times Cited: 56
YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery
Miao Ren, Xianfeng Zhang, Xiao Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103335-103335
Open Access | Times Cited: 52
Developments in Image Processing Using Deep Learning and Reinforcement Learning
Jorge Valente, João António, Carlos León de Mora, et al.
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 207-207
Open Access | Times Cited: 41
Pavement crack image acquisition methods and crack extraction algorithms: A review
Weixing Wang, Mengfei Wang, Hongxia Li, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2019) Vol. 6, Iss. 6, pp. 535-556
Open Access | Times Cited: 118
RCNet: road classification convolutional neural networks for intelligent vehicle system
Deepak Kumar Dewangan, Satya Prakash Sahu
Intelligent Service Robotics (2021) Vol. 14, Iss. 2, pp. 199-214
Closed Access | Times Cited: 90
Bridge Crack Semantic Segmentation Based on Improved Deeplabv3+
Huixuan Fu, Meng Dan, Wenhui Li, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 6, pp. 671-671
Open Access | Times Cited: 90
Pavement Crack Detection Method Based on Deep Learning Models
Guo X. Hu, Bao Long Hu, Zhong Yang, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 83
Façade defects classification from imbalanced dataset using meta learning‐based convolutional neural network
Jingjing Guo, Qian Wang, Yiting Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 12, pp. 1403-1418
Closed Access | Times Cited: 78
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network
Weidong Wang, Wenbo Hu, Wenjuan Wang, et al.
Automation in Construction (2021) Vol. 124, pp. 103484-103484
Closed Access | Times Cited: 78
Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection
Fujun Du, Shuangjian Jiao
Sensors (2022) Vol. 22, Iss. 9, pp. 3537-3537
Open Access | Times Cited: 66
Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL
Dhirendra Prasad Yadav, Ashish Sharma, Senthil Athithan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5823-5823
Open Access | Times Cited: 54
A new mobile convolutional neural network-based approach for pixel-wise road surface crack detection
Gürkan Doğan, Burhan Ergen
Measurement (2022) Vol. 195, pp. 111119-111119
Closed Access | Times Cited: 46
Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions
José García, Gabriel Villavicencio, Francisco Altimiras, et al.
Automation in Construction (2022) Vol. 142, pp. 104532-104532
Closed Access | Times Cited: 44
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 12
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: 10
Deep learning-driven pavement crack analysis: Autoencoder-enhanced crack feature extraction and structure classification
Miaomiao Zhang, Jingtao Zhong, Changhong Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107949-107949
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
Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
Wenjun Wang, Chao Su
IEEE Access (2020) Vol. 8, pp. 206548-206558
Open Access | Times Cited: 60
Road Crack Detection using Support Vector Machine (SVM) and OTSU Algorithm
Yuslena Sari, Puguh Budi Prakoso, Andreyan Rezky Baskara
(2019), pp. 349-354
Closed Access | Times Cited: 54
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems
Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband, et al.
Energies (2020) Vol. 13, Iss. 7, pp. 1718-1718
Open Access | Times Cited: 53
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: 46
Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method
Ju Huyan, Tao Ma, Wei Li, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 8
Closed Access | Times Cited: 36
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
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