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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:

Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network
Jing Shang, Jie Xu, Allen Zhang, et al.
Measurement (2023) Vol. 208, pp. 112475-112475
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A framework for fault detection method selection of oceanographic multi-layer winch fibre rope arrangement
Haoran Ye, Wenhua Li, Shanying Lin, et al.
Measurement (2024) Vol. 226, pp. 114168-114168
Closed Access | Times Cited: 41
Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM
Chaohui Zhang, Xiangsheng Chen, Peng Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105857-105857
Closed Access | Times Cited: 17
A lightweight feature attention fusion network for pavement crack segmentation
Yucheng Huang, Yuchen Liu, Fang Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 18, pp. 2811-2825
Open Access | Times Cited: 8
Identification and localization of grape diseased leaf images captured by UAV based on CNN
Weihan Li, Xiao Yu, Cong Chen, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108277-108277
Open Access | Times Cited: 17
Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model
Qianwei Dai, Muhammad Ishfaque, Saif Ur Rehman Khan, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 4
Crackwave R-convolutional neural network: A discrete wavelet transform and deep learning fusion model for underwater dam crack detection
Bo Guo, Xu Li, Dezhi Li
Structural Health Monitoring (2025)
Closed Access
An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion
Hua‐Ping Wan, Wei Zhang, Yi Chen, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
Cross-dataset semantic segmentation for composite crack detection using unsupervised transfer learning
Pengchao Zhao, Wenyuan Xu, Dawei Qi, et al.
Composite Structures (2025), pp. 119071-119071
Closed Access
Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach
Mohammad Hassan Daneshvari, Barat Mojaradi, Mahmoud Ameri, et al.
Measurement (2024) Vol. 235, pp. 114987-114987
Closed Access | Times Cited: 4
An Algorithm for Crack Detection, Segmentation, and Fractal Dimension Estimation in Low-Light Environments by Fusing FFT and Convolutional Neural Network
Jiajie Cheng, Qiunan Chen, Xiaocheng Huang
Fractal and Fractional (2023) Vol. 7, Iss. 11, pp. 820-820
Open Access | Times Cited: 9
A robust self-supervised approach for fine-grained crack detection in concrete structures
Muhammad Sohaib, Md Junayed Hasan, Mohd Asif Shah, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Intelligent pavement condition survey: Overview of current researches and practices
Allen Zhang, Jing Shang, Baoxian Li, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 3, pp. 257-281
Open Access | Times Cited: 3
Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3
A systematic approach to pixel-level crack detection and localization with a feature fusion attention network and 3D reconstruction
Qiqi Zeng, Gao Fan, Dayang Wang, et al.
Engineering Structures (2023) Vol. 300, pp. 117219-117219
Closed Access | Times Cited: 8
UAV-Based Image and LiDAR Fusion for Pavement Crack Segmentation
Ahmed Elamin, Ahmed El‐Rabbany
Sensors (2023) Vol. 23, Iss. 23, pp. 9315-9315
Open Access | Times Cited: 7
CrackHAM: A Novel Automatic Crack Detection Network Based on U-Net for Asphalt Pavement
Mianqing He, Tze Liang Lau
IEEE Access (2024) Vol. 12, pp. 12655-12666
Open Access | Times Cited: 2
Co-CrackSegment: A New Corporative Deep Learning Framework for Pixel-Level Semantic Segmentation of Concrete Cracks
Nizar Faisal Alkayem, Ali Mayya, Xin Zhang, et al.
(2024)
Open Access | Times Cited: 2
Co-CrackSegment: A New Collaborative Deep Learning Framework for Pixel-Level Semantic Segmentation of Concrete Cracks
Nizar Faisal Alkayem, Ali Mayya, Lei Shen, et al.
Mathematics (2024) Vol. 12, Iss. 19, pp. 3105-3105
Open Access | Times Cited: 2
Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model
Lin Wang
Frattura ed Integrità Strutturale (2023) Vol. 17, Iss. 65, pp. 289-299
Open Access | Times Cited: 5
Enhancing Pavement Distress Detection Using a Morphological Constraints-Based Data Augmentation Method
Zhengchao Xu, Zhe Dai, Zhaoyun Sun, et al.
Coatings (2023) Vol. 13, Iss. 4, pp. 764-764
Open Access | Times Cited: 4
Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network
Feng Qu, Bokun Wang, Qing Zhu, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76935-76952
Closed Access | Times Cited: 1
Enhancing Road Crack Localization for Sustainable Road Safety Using HCTNet
Dhirendra Prasad Yadav, Bhisham Sharma, Shivank Chauhan, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4409-4409
Open Access | Times Cited: 1
An encoder-decoder-based image segmentation method for abrasive height detection of diamond wire
Yukang Zhao, Peiqi Ge, Wenbo Bi, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 3-4, pp. 1431-1442
Closed Access | Times Cited: 1
Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II
Lang Hong, Jinsong Qian, Ye Yuan, et al.
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 6
Closed Access | Times Cited: 1
Intelligent detection and mileage positioning of multiple distresses using two-step deep learning
Zishuo Dong, Allen Zhang, Yue Ding, et al.
Automation in Construction (2024) Vol. 166, pp. 105643-105643
Closed Access | Times Cited: 1
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