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:

Segment-based pavement crack quantification
Xingxing Weng, Yuchun Huang, Wenzong Wang
Automation in Construction (2019) Vol. 105, pp. 102819-102819
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Automated pavement crack detection and segmentation based on two‐step convolutional neural network
Jingwei Liu, Xu Yang, Stephen Lau, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 11, pp. 1291-1305
Closed Access | Times Cited: 289

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement
Ankang Ji, Xiaolong Xue, Yuna Wang, et al.
Automation in Construction (2020) Vol. 114, pp. 103176-103176
Closed Access | Times Cited: 206

Deep learning-based road damage detection and classification for multiple countries
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
Automation in Construction (2021) Vol. 132, pp. 103935-103935
Open Access | Times Cited: 178

Computer vision framework for crack detection of civil infrastructure—A review
Dihao Ai, Guiyuan Jiang, Siew-Kei Lam, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105478-105478
Closed Access | Times Cited: 149

Automated asphalt pavement damage rate detection based on optimized GA-CNN
Jiale Li, Tao Liu, Xuefei Wang, et al.
Automation in Construction (2022) Vol. 136, pp. 104180-104180
Closed Access | Times Cited: 73

Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification
Jinhuan Shan, Wei Jiang, Yue Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17038-17053
Closed Access | Times Cited: 18

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

Unsupervised domain adaptation for crack detection
Xingxing Weng, Yuchun Huang, Yanan Li, et al.
Automation in Construction (2023) Vol. 153, pp. 104939-104939
Closed Access | Times Cited: 33

Automatic detection and measurement of ground crack propagation using deep learning networks and an image processing technique
Minh-Vuong Pham, Yong-Soo Ha, Yun-Tae Kim
Measurement (2023) Vol. 215, pp. 112832-112832
Closed Access | Times Cited: 22

Measurement of Asphalt Pavement Crack Length Using YOLO V5-BiFPN
Sike Wang, Qiao Dong, Xueqin Chen, et al.
Journal of Infrastructure Systems (2024) Vol. 30, Iss. 2
Closed Access | Times Cited: 8

Automated crack assessment and quantitative growth monitoring
Siyu Kong, Jian‐Sheng Fan, Yu‐Fei Liu, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 5, pp. 656-674
Closed Access | Times Cited: 54

A hybrid lightweight encoder-decoder network for automatic bridge crack assessment with real-world interference
Jianghua Deng, Ye Lü, Vincent CS Lee
Measurement (2023) Vol. 216, pp. 112892-112892
Closed Access | Times Cited: 20

A Review of Computer Vision-Based Crack Detection Methods in Civil Infrastructure: Progress and Challenges
Qi Yuan, Yufeng Shi, Mingyue Li
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2910-2910
Open Access | Times Cited: 7

Hybrid Pixel‐Level Crack Segmentation for Ballastless Track Slab Using Digital Twin Model and Weakly Supervised Style Transfer
Wenbo Hu, Weidong Wang, Xianhua Liu, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 5

Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid
Mianqing Zhong, Lichun Sui, Zhihua Wang, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4198-4198
Open Access | Times Cited: 43

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

Unified weakly and semi-supervised crack segmentation framework using limited coarse labels
Chao Xiang, Vincent J.L. Gan, Lu Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108497-108497
Closed Access | Times Cited: 4

A Novel Model for Instance Segmentation and Quantification of Bridge Surface Cracks—The YOLOv8-AFPN-MPD-IoU
Chenqin Xiong, Tarek Zayed, Xingyu Jiang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4288-4288
Open Access | Times Cited: 4

Multi-task deep learning for crack segmentation and quantification in RC structures
Yi‐Chang Chen, Rih‐Teng Wu, Aishwarya Puranam
Automation in Construction (2024) Vol. 166, pp. 105599-105599
Closed Access | Times Cited: 4

Crack segmentation using discrete cosine transform in shadow environments
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 166, pp. 105646-105646
Closed Access | Times Cited: 4

Domain knowledge-driven image captioning for bridge damage description generation
CL Chai, Yan Gao, Guanyu Xiong, et al.
Automation in Construction (2025) Vol. 174, pp. 106116-106116
Closed Access

Automatic pixel-wise detection of evolving cracks on rock surface in video data
Dihao Ai, Guiyuan Jiang, Siew-Kei Lam, et al.
Automation in Construction (2020) Vol. 119, pp. 103378-103378
Closed Access | Times Cited: 30

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

Promoting Automatic Detection of Road Damage: A High-Resolution Dataset, a New Approach, and a New Evaluation Criterion
Tianxiang Yin, Wei Zhang, Jinqiao Kou, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 2472-2484
Closed Access | Times Cited: 3

CCapFPN: A Context-Augmented Capsule Feature Pyramid Network for Pavement Crack Detection
Yongtao Yu, Haiyan Guan, Dilong Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 4, pp. 3324-3335
Closed Access | Times Cited: 26

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