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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:

Optimized deep encoder-decoder methods for crack segmentation
Jacob König, Mark David Jenkins, Mike Mannion, et al.
Digital Signal Processing (2020) Vol. 108, pp. 102907-102907
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios
Chaoqun Xiang, Jingjing Guo, Ran Cao, et al.
Automation in Construction (2023) Vol. 152, pp. 104894-104894
Closed Access | Times Cited: 63
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, et al.
Lecture notes in computer science (2023), pp. 179-195
Closed Access | Times Cited: 42
CrackFormer: Transformer Network for Fine-Grained Crack Detection
Huajun Liu, Xiangyu Miao, Christoph Mertz, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3763-3772
Closed Access | Times Cited: 101
A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion
Zhong Qu, Chong Cao, Ling Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4890-4899
Closed Access | Times Cited: 96
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
An Improved YOLOv5 Crack Detection Method Combined With Transformer
Xuezhi Xiang, Zhiyuan Wang, Yulong Qiao
IEEE Sensors Journal (2022) Vol. 22, Iss. 14, pp. 14328-14335
Closed Access | Times Cited: 50
A sigmoid‐optimized encoder–decoder network for crack segmentation with copy‐edit‐paste transfer learning
Firdes Çelik, Markus König
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 14, pp. 1875-1890
Open Access | Times Cited: 39
CrackFormer Network for Pavement Crack Segmentation
Huajun Liu, Jing Yang, Xiangyu Miao, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9240-9252
Closed Access | Times Cited: 37
Deep learning-based concrete defects classification and detection using semantic segmentation
Palisa Arafin, A. H. M. Muntasir Billah, Anas Issa
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 383-409
Open Access | Times Cited: 35
SwinCrack: Pavement crack detection using convolutional swin-transformer network
Cheng Wang, Haibing Liu, Xiaoya An, et al.
Digital Signal Processing (2023) Vol. 145, pp. 104297-104297
Closed Access | Times Cited: 26
U-Net-Based CNN Architecture for Road Crack Segmentation
Alessandro Di Benedetto, Margherita Fiani, Lucas Matias Gujski
Infrastructures (2023) Vol. 8, Iss. 5, pp. 90-90
Open Access | Times Cited: 23
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
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels Using Localization With a Classifier and Thresholding
Jacob König, Mark David Jenkins, Mike Mannion, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 24083-24094
Open Access | Times Cited: 28
Crack segmentation of imbalanced data: The role of loss functions
Quang Du Nguyen, Huu‐Tai Thai
Engineering Structures (2023) Vol. 297, pp. 116988-116988
Open Access | Times Cited: 21
Automatic fracture characterization in CT images of rocks using an ensemble deep learning approach
Chuyen Pham, Łi Zhuang, Sun Yeom, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105531-105531
Open Access | Times Cited: 18
Automated Detection for Concrete Surface Cracks Based on Deeplabv3+ BDF
Yonggang Shen, Zhenwei Yu, Chunsheng Li, et al.
Buildings (2023) Vol. 13, Iss. 1, pp. 118-118
Open Access | Times Cited: 17
Road Surface Defect Detection—From Image-Based to Non-Image-Based: A Survey
Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10581-10603
Open Access | Times Cited: 7
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
ERNet: A Rapid Road Crack Detection Method Using Low-Altitude UAV Remote Sensing Images
Zexian Duan, Jiahang Liu, Xinpeng Ling, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1741-1741
Open Access | Times Cited: 5
Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure
June Moh Goo, Xenios Milidonis, Alessandro Artusi, et al.
Automation in Construction (2025) Vol. 170, pp. 105960-105960
Open Access
DCNCrack: Pavement Crack Segmentation Based on Large-Scaled Deformable Convolutional Network
Cheng Wang, Haibing Liu, Xiaoya An, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access
Topology-joint Curvilinear Segmentation Network using Confidence-based Bezier Topological Representation
Jianwei Li, Yuchun Huang, Xi Ye, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110045-110045
Closed Access
Attention Guided Filter and Refinement Feature Network for image semantic segmentation
Shusheng Li, Wenjun Tan, Liang Wan, et al.
Knowledge-Based Systems (2025), pp. 113293-113293
Closed Access
A review of image-based deep learning methods for crack detection
Vindhyesh Pandey, Shambhu Sharan Mishra
Multimedia Tools and Applications (2025)
Closed Access
BBCNet: Boundary-Body Coherence Network with Adaptive Self-Attention Distillation for Enhanced Crack Segmentation
Xiao Hu, Kang Liu, Zhihao Xv
Digital Signal Processing (2025), pp. 105148-105148
Closed Access
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