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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 transformer-based network with attention mechanism for automatic pavement crack detection
Feng Guo, Jian Liu, Chengshun Lv, et al.
Construction and Building Materials (2023) Vol. 391, pp. 131852-131852
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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
Automation in road distress detection, diagnosis and treatment
Xu Yang, Jianqi Zhang, Wenbo Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 1, pp. 1-26
Open Access | Times Cited: 10
A dual encoder crack segmentation network with Haar wavelet-based high-low frequency attention
Jianming Zhang, Zhigao Zeng, Pradip Kumar Sharma, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124950-124950
Closed Access | Times Cited: 9
Pixel-wise crack defect segmentation with dual-encoder fusion network
Suli Bai, Mingyang Ma, Lei Yang, et al.
Construction and Building Materials (2024) Vol. 426, pp. 136179-136179
Closed Access | Times Cited: 8
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
Pavement Crack Detection Based on the Improved Swin-Unet Model
Song Chen, Zhixuan Feng, Guangqing Xiao, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1442-1442
Open Access | Times Cited: 7
A comparison study of semantic segmentation networks for crack detection in construction materials
Zhongqi Shi, Nan Jin, Dongbo Chen, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134950-134950
Closed Access | Times Cited: 6
A rendering‐based lightweight network for segmentation of high‐resolution crack images
Hong-Hu Chu, Diran Yu, Weiwei Chen, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 4
A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection
Zhong Qu, Bin Yuan, Guoqing Mu
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access
Crack semantic segmentation performance of various attention modules in different scenarios
Junwen Zheng, Lingkun Chen, Nan Chen, et al.
Structural Concrete (2025)
Closed Access
Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model
Zixuan Zhang, Y G He, Di Hu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Intelligent Roadway Monitoring: C-ELM Approach for Pothole Classification
Navpreet, Rajendra Kumar Roul, Rinkle Rani
Lecture notes in electrical engineering (2025), pp. 111-121
Closed Access
Deep learning-based system for automated damage detection and quantification in concrete pavement
Hellen Garita‐Durán, Julien Philipp Stöcker, Michael Kaliske
Results in Engineering (2025), pp. 104546-104546
Open Access
Remotely operated vehicle (ROV) underwater vision-based micro-crack inspection for concrete dams using a customizable CNN framework
Hao Liu, Jingyue Yuan, Qiubing Ren, et al.
Automation in Construction (2025) Vol. 173, pp. 106102-106102
Closed Access
ANF-Net: A Refined Segmentation Network for Road Scenes with Multiple Noises and Various Morphologies of Cracks
Xiaoying Hu, Qihao Chen, Xiuguo Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 971-971
Open Access
A three-stage pavement image crack detection framework with positive sample augmentation
Qingsong Song, Li Liu, Na Lü, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107624-107624
Closed Access | Times Cited: 12
Pavement Distress Detection Using Street View Images Captured via Action Camera
Yu‐Chen Liu, Fang Liu, Wei Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 738-747
Closed Access | Times Cited: 11
Vison Transformer-Based Automatic Crack Detection on Dam Surface
Jian Zhou, Guochuan Zhao, Yonglong Li
Water (2024) Vol. 16, Iss. 10, pp. 1348-1348
Open Access | Times Cited: 3
Enhancing pixel-level crack segmentation with visual mamba and convolutional networks
Chengjia Han, Handuo Yang, Yaowen Yang
Automation in Construction (2024) Vol. 168, pp. 105770-105770
Closed Access | Times Cited: 3
An efficient out-of-distribution pixel-level crack detection framework using prior knowledge
Hubing Li, Kang Gao, Hanbin Liang, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109827-109827
Closed Access | Times Cited: 2
Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform
Wei Ding, Jiangpeng Shu, Carl J. Debono, et al.
Automation in Construction (2024) Vol. 168, pp. 105829-105829
Closed Access | Times Cited: 2
Classification of Asphalt Pavement Defects for Sustainable Road Development Using a Novel Hybrid Technology Based on Clustering Deep Features
Jia Liang, Qipeng Zhang, Xingyu Gu
Sustainability (2024) Vol. 16, Iss. 22, pp. 10145-10145
Open Access | Times Cited: 2
A novel real-time pixel-level road crack segmentation network
Rongdi Wang, Hao Wang, Zhenhao He, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 3
Closed Access | Times Cited: 1
Context-aware semantic segmentation network for tunnel face feature identification
Liang Zhao, Shuya Hao, Zhanping Song
Automation in Construction (2024) Vol. 165, pp. 105560-105560
Closed Access | Times Cited: 1
Cracks segmentation of engineering structures in complex backgrounds using a concatenation of Transformer and CNN models driven by scene understanding information
Zhang Chun, Jian Yu, Y. B. Zhao, et al.
Structures (2024) Vol. 65, pp. 106685-106685
Closed Access | Times Cited: 1
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