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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:

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

Showing 1-25 of 38 citing articles:

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Arunabha M. Roy, Jayabrata Bhaduri
Advanced Engineering Informatics (2023) Vol. 56, pp. 102007-102007
Closed Access | Times Cited: 153
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
Machine vision-based surface crack analysis for transportation infrastructure
Wenbo Hu, Weidong Wang, Chengbo Ai, et al.
Automation in Construction (2021) Vol. 132, pp. 103973-103973
Closed Access | Times Cited: 82
Pavement crack detection with hybrid-window attentive vision transformers
Shaozhang Xiao, Kaikai Shang, Ken Lin, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103172-103172
Open Access | Times Cited: 41
SwinCrack: Pavement crack detection using convolutional swin-transformer network
Cheng Wang, Haibing Liu, Xiaoya An, et al.
Digital Signal Processing (2023) Vol. 145, pp. 104297-104297
Closed Access | Times Cited: 26
Multiscale Attention Networks for Pavement Defect Detection
Junde Chen, Yuxin Wen, Yaser A. Nanehkaran, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 25
Real-time monitoring of concrete crack based on deep learning algorithms and image processing techniques
Gang Xu, Qingrui Yue, Xiaogang Liu
Advanced Engineering Informatics (2023) Vol. 58, pp. 102214-102214
Closed Access | Times Cited: 23
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102584-102584
Closed Access | Times Cited: 10
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
Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features
Hang Zhang, Allen Zhang, Zishuo Dong, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11282-11303
Closed Access | Times Cited: 7
Deep learning-assisted automatic quality assessment of concrete surfaces with cracks and bugholes
Jiepeng Liu, Zhengtao Yang, Hongtuo Qi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102577-102577
Closed Access | Times Cited: 7
AnomalySeg: Deep Learning-Based Fast Anomaly Segmentation Approach for Surface Defect Detection
Yongxian Song, Wenhao Xia, Yuanyuan Li, et al.
Electronics (2024) Vol. 13, Iss. 2, pp. 284-284
Open Access | Times Cited: 6
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach
Minh-Tu Cao, Kuan-Tsung Chang, Ngoc‐Mai Nguyen, et al.
Soft Computing (2021) Vol. 25, Iss. 20, pp. 12839-12855
Open Access | Times Cited: 36
Cross teacher pseudo supervision: Enhancing semi-supervised crack segmentation with consistency learning
Zheng Jian, Jianbo Liu
Advanced Engineering Informatics (2023) Vol. 59, pp. 102279-102279
Closed Access | Times Cited: 15
Sam-based instance segmentation models for the automation of structural damage detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102826-102826
Closed Access | Times Cited: 5
Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay
Xuzhong Yan, Rui Jin, Hong Zhang, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
Segmentation refinement of thin cracks with Minimum Strip Cuts
Wanchen Hou, Jingyuan He, Chenghao Cui, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103249-103249
Closed Access
Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads
Waqar S. Qureshi, David Power, Ihsan Ullah, et al.
Automation in Construction (2023) Vol. 153, pp. 104945-104945
Open Access | Times Cited: 12
DUCTNet: An Effective Road Crack Segmentation Method in UAV Remote Sensing Images Under Complex Scenes
Lixiang Sun, Yixin Yang, Zaichun Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12682-12695
Closed Access | Times Cited: 4
Computer vision based asphalt pavement segregation detection using image texture analysis integrated with extreme gradient boosting machine and deep convolutional neural networks
Nhat‐Duc Hoang, Van-Duc Tran
Measurement (2022) Vol. 196, pp. 111207-111207
Closed Access | Times Cited: 17
Toward Vision-Based Concrete Crack Detection: Automatic Simulation of Real-World Cracks
Tran Hiep Dinh, Vu Thi Thuy Anh, TruongGiang Nguyen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 10
Sam-Based Instance Segmentation Models for the Automation of Structural Damage Detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi, et al.
(2024)
Open Access | Times Cited: 3
Image-Based Automated Width Measurement of Surface Cracking
Miguel Carrasco, Gerardo Araya-Letelier, Ramiro Velázquez, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7534-7534
Open Access | Times Cited: 22
Deep convolutional neural network ensemble for pavement crack detection using high elevation UAV images
Goodnews E. Amieghemen, Muhammad M. Sherif
Structure and Infrastructure Engineering (2023), pp. 1-16
Closed Access | Times Cited: 8
Detection of Highway Pavement Damage Based on a CNN Using Grayscale and HOG Features
Guohong Chen, Jie Ni, Zhuo Chen, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2455-2455
Open Access | Times Cited: 13
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