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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:

Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
Wenjun Wang, Chao Su
IEEE Access (2020) Vol. 8, pp. 206548-206558
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Road damage detection using super-resolution and semi-supervised learning with generative adversarial network
Seungbo Shim, Jin Kim, Seong-Won Lee, et al.
Automation in Construction (2022) Vol. 135, pp. 104139-104139
Open Access | Times Cited: 73
CNN-Transformer hybrid network for concrete dam crack patrol inspection
Mingchao Li, Jingyue Yuan, Qiubing Ren, et al.
Automation in Construction (2024) Vol. 163, pp. 105440-105440
Closed Access | Times Cited: 18
Semi-supervised semantic segmentation network for surface crack detection
Wenjun Wang, Chao Su
Automation in Construction (2021) Vol. 128, pp. 103786-103786
Closed Access | Times Cited: 87
A new mobile convolutional neural network-based approach for pixel-wise road surface crack detection
Gürkan Doğan, Burhan Ergen
Measurement (2022) Vol. 195, pp. 111119-111119
Closed Access | Times Cited: 46
Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation
Qianqian Zhou, Zuxiang Situ, Shuai Teng, et al.
Tunnelling and Underground Space Technology (2022) Vol. 123, pp. 104403-104403
Closed Access | Times Cited: 39
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: 38
Evidential transformer for pavement distress segmentation
Tong Zheng, Tao Ma, Weiguang Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 16, pp. 2317-2338
Closed Access | Times Cited: 34
Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level Segmentation: A New Solution to Small Training Datasets
Tianjie Zhang, Donglei Wang, Amanda Mullins, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 4474-4481
Closed Access | Times Cited: 25
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition
Hui Yao, Yanhao Liu, Haotian Lv, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 10, pp. 1490-1506
Open Access | Times Cited: 22
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Dariush Amirkhani, Mohand Saïd Allili, Loucif Hebbache, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10483-10505
Closed Access | Times Cited: 9
Deep learning-based intelligent detection of pavement distress
Lele Zheng, Jingjing Xiao, Yinghui Wang, et al.
Automation in Construction (2024) Vol. 168, pp. 105772-105772
Closed Access | Times Cited: 7
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
Feature pyramid network with self-guided attention refinement module for crack segmentation
Jeremy C.H. Ong, Stephen Lau, Mohd-ZP Ismadi, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 1, pp. 672-688
Closed Access | Times Cited: 32
Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator
Seungbo Shim, Seong‐Won Lee, Gye‐Chun Cho, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2180-2201
Open Access | Times Cited: 20
Automated pixel-level crack detection and quantification using deep convolutional neural networks for structural condition assessment
Jingyue Yuan, Qiubing Ren, Chao Jia, et al.
Structures (2023) Vol. 59, pp. 105780-105780
Closed Access | Times Cited: 20
Hierarchical Convolutional Neural Network With Feature Preservation and Autotuned Thresholding for Crack Detection
Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, et al.
IEEE Access (2021) Vol. 9, pp. 60201-60214
Open Access | Times Cited: 34
DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation
Vladimir Polovnikov, Dmitriy Alekseev, Ivan Vinogradov, et al.
IEEE Access (2021) Vol. 9, pp. 125714-125723
Open Access | Times Cited: 33
Highway Crack Segmentation From Unmanned Aerial Vehicle Images Using Deep Learning
Zhonghua Hong, Fan Yang, Haiyan Pan, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 32
Crack Segmentation Network using Additive Attention Gate—CSN-II
Ali Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105130-105130
Closed Access | Times Cited: 25
Automatic damage segmentation in pavement videos by fusing similar feature extraction siamese network (SFE-SNet) and pavement damage segmentation capsule network (PDS-CapsNet)
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Automation in Construction (2022) Vol. 143, pp. 104537-104537
Closed Access | Times Cited: 24
MtlrNet: An Effective Deep Multitask Learning Architecture for Rail Crack Detection
Shijin Meng, Senyun Kuang, Zheng Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 23
Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation
Hong Huang, Yuanzhi Cai, Cheng Zhang, et al.
Automation in Construction (2023) Vol. 158, pp. 105213-105213
Closed Access | Times Cited: 15
Automatic Pavement Crack Detection Fusing Attention Mechanism
Ren Jun-hua, Guowu Zhao, Yadong Ma, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3622-3622
Open Access | Times Cited: 20
Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks
Irina Razveeva, Alexey Kozhakin, Alexey N. Beskopylny, et al.
Buildings (2023) Vol. 13, Iss. 12, pp. 3014-3014
Open Access | Times Cited: 12
Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network
Jin Kim, Seungbo Shim, Seok-Jun Kang, et al.
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 11
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