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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-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: 32

Showing 1-25 of 32 citing articles:

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: 151
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks
Hong-Hu Chu, Wei Wang, Lu Deng
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 14, pp. 1914-1931
Closed Access | Times Cited: 90
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
A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
Peng Xiong, Xingu Zhong, Chao Zhao, et al.
Construction and Building Materials (2021) Vol. 299, pp. 123896-123896
Closed Access | Times Cited: 95
A graph‐based method for quantifying crack patterns on reinforced concrete shear walls
Pedram Bazrafshan, Thinh On, Sina Basereh, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 498-517
Closed Access | Times Cited: 29
Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network
Narges Karimi, Mayank Mishra, Paulo B. Lourénço
International Journal of Architectural Heritage (2024), pp. 1-17
Closed Access | Times Cited: 8
Automatic segmentation of TBM muck images via a deep-learning approach to estimate the size and shape of rock chips
Xiaoxiong Zhou, Qiuming Gong, Yongqiang Liu, et al.
Automation in Construction (2021) Vol. 126, pp. 103685-103685
Closed Access | Times Cited: 49
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
Continuous pavement crack detection using ECA-enhanced instance segmentation of video images
Qianghua Chen, Shulin Fu
Construction and Building Materials (2025) Vol. 465, pp. 140247-140247
Closed Access
Image-based strain response estimation of in-situ bridge using Recurrent Neural Networks (RNNs)
Mubarak Faisal Abu Zouriq, Daniel G. Linzell, Saeed Eftekhar Azam
Structures (2025) Vol. 73, pp. 108436-108436
Closed Access
A rapid and precise detection and measurement method for road cracks based on video keyframes and DPPNet
Ping Wang, Jun Zhu, Marco Scaioni
Measurement (2025), pp. 117493-117493
Closed Access
A review of crack research in concrete structures based on data-driven and intelligent algorithms
Congcong Fan, Youliang Ding, Xujia Liu, et al.
Structures (2025) Vol. 75, pp. 108800-108800
Closed Access
U-Net learning for the automatic identification of the sandstone crack tip position to determine mixed-mode stress intensity factors utilizing digital image correlation method
Yingjie Li, Ting Ni, Fang Zhang, et al.
Theoretical and Applied Fracture Mechanics (2023) Vol. 127, pp. 104028-104028
Open Access | Times Cited: 12
An automatic image processing based on Hough transform algorithm for pavement crack detection and classification
Sandra Matarneh, Faris Elghaish, Amani Al-Ghraibah, et al.
Smart and Sustainable Built Environment (2023)
Open Access | Times Cited: 11
Pothole detection in bituminous road using CNN with transfer learning
Kanchi Anantharaman Vinodhini, Kovilvenni Ramachandran Aswin Sidhaarth
Measurement Sensors (2023) Vol. 31, pp. 100940-100940
Open Access | Times Cited: 9
Thermal monitoring and deep learning approach for early warning prediction of rock burst in underground structures
Mrityunjay Jaiswal, Resmi Sebastian, Ravibabu Mulaveesala
Journal of Physics D Applied Physics (2023) Vol. 57, Iss. 10, pp. 105502-105502
Closed Access | Times Cited: 7
An average pooling designed Transformer for robust crack segmentation
Zhaohui Chen, Elyas Asadi Shamsabadi, S. Jiang, et al.
Automation in Construction (2024) Vol. 162, pp. 105367-105367
Open Access | Times Cited: 2
Mutual feedback between Mask2former and crack information under dynamic rock fractures
Jinlong Zhang, Song Yao, Kun Ren, et al.
Theoretical and Applied Fracture Mechanics (2024) Vol. 133, pp. 104602-104602
Closed Access | Times Cited: 2
Sandification degree classification of sandy dolomite base on convolutional neural networks
Meiqian Wang, Changxing Zhang, Haiming Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Survey of automated crack detection methods for asphalt and concrete structures
Oumaima Khlifati, Khadija Baba, Bassam A. Tayeh
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1
Hydraulic Fracture Propagation in Fractured Rock Mass
Taoying Liu, Yeshan Sheng, Qing Li, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 5846-5846
Open Access | Times Cited: 6
Fast and accurate semantic segmentation of road crack video in a complex dynamic environment
Ping Wang, Jun Zhu, Ming Zhu, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 2
Multi-CrackNet: A Fast Segmentation and Quantification Combined Method for Rock Discontinuity Traces by Capturing an Image
Lan Qiao, Naifu Deng, Qingwen Li, et al.
Geofluids (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 4
Mesoscopic representative elementary area of red mudstone based on U-Net segmentation
Qijun Hu, Junsen Zeng, Leping He, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 12
Closed Access | Times Cited: 3
Automatic Pixel-Level Detection of Structural Steel Elements Using U-Net and Transfer Learning
Zhouqian Jiang, John Messner
Computing in Civil Engineering (2024), pp. 649-656
Closed Access
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