Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network
Chengjia Han, Tao Ma, Ju Huyan, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 11, pp. 22135-22144
Closed Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Narges Kheradmandi, Vida Mehranfar
Construction and Building Materials (2022) Vol. 321, pp. 126162-126162
Closed Access | Times Cited: 234
Multi-scale triple-attention network for pixelwise crack segmentation
Lei Yang, Suli Bai, Yanhong Liu, et al.
Automation in Construction (2023) Vol. 150, pp. 104853-104853
Closed Access | Times Cited: 41
Deep learning for surface crack detection in civil engineering: A comprehensive review
Haiyan Zhuang, Yikai Cheng, Man Zhou, et al.
Measurement (2025), pp. 116908-116908
Closed Access | Times Cited: 2
Segmentation of Concrete Cracks by Using Fractal Dimension and UHK-Net
Qing An, Xijiang Chen, Haojun Wang, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 2, pp. 95-95
Open Access | Times Cited: 44
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: 41
Tunnel Crack Detection With Linear Seam Based on Mixed Attention and Multiscale Feature Fusion
Qiang Zhou, Zhong Qu, Yan-Xin Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 38
Applications of vegetable oils and their derivatives as Bio-Additives for use in asphalt binders: A review
Conglin Chen, Jinbo Lu, Tao Ma, et al.
Construction and Building Materials (2023) Vol. 383, pp. 131312-131312
Closed Access | Times Cited: 32
Automatic pavement crack segmentation using a generative adversarial network (GAN)-based convolutional neural network
Zhihao Pan, Stephen Lau, Xu Yang, et al.
Results in Engineering (2023) Vol. 19, pp. 101267-101267
Open Access | Times Cited: 26
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
DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features
Qinghua Lin, Wei Li, Xiangpan Zheng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106876-106876
Closed Access | Times Cited: 24
An integration–competition network for bridge crack segmentation under complex scenes
Lixiang Sun, Yixin Yang, Guoxiong Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 617-634
Closed Access | Times Cited: 22
Multi-stage generative adversarial networks for generating pavement crack images
Chengjia Han, Tao Ma, Ju Huyan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107767-107767
Closed Access | Times Cited: 13
An attention-based progressive fusion network for pixelwise pavement crack detection
Mingyang Ma, Lei Yang, Yanhong Liu, et al.
Measurement (2024) Vol. 226, pp. 114159-114159
Closed Access | Times Cited: 13
A Multitask Fusion Network for Region-Level and Pixel-Level Pavement Distress Detection
Jingtao Zhong, Miaomiao Zhang, Yuetan Ma, et al.
Journal of Transportation Engineering Part B Pavements (2024) Vol. 150, Iss. 1
Closed Access | Times Cited: 12
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102584-102584
Closed Access | Times Cited: 10
CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
Chengjia Han, Handuo Yang, Tao Ma, et al.
Automation in Construction (2024) Vol. 160, pp. 105332-105332
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
Electromagnetic and mechanical properties of FA-GBFS geopolymer composite used for induction heating of airport pavement
Gonghui Gu, Tao Ma, Feng Chen, et al.
Cement and Concrete Composites (2022) Vol. 129, pp. 104503-104503
Open Access | Times Cited: 35
A review of deep learning methods for pixel-level crack detection
Hongxia Li, Weixing Wang, Mengfei Wang, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 6, pp. 945-968
Open Access | Times Cited: 35
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
One-stage 3D profile-based pavement crack detection and quantification
Zhihao Pan, Jinchao Guan, Xu Yang, et al.
Automation in Construction (2023) Vol. 153, pp. 104946-104946
Open Access | Times Cited: 21
Segmentation Detection Method for Complex Road Cracks Collected by UAV Based on HC-Unet++
Hongbin Cao, Yuxi Gao, Weiwei Cai, et al.
Drones (2023) Vol. 7, Iss. 3, pp. 189-189
Open Access | Times Cited: 20
PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation
Lei Yang, Hanyun Huang, Shuyi Kong, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 11, pp. 12686-12700
Closed Access | Times Cited: 18
Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Automation in Construction (2023) Vol. 156, pp. 105138-105138
Closed Access | Times Cited: 18
Page 1 - Next Page

Scroll to top