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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:

An Integrated Method for Road Crack Segmentation and Surface Feature Quantification under Complex Backgrounds
Lu Deng, An Zhang, Jingjing Guo, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1530-1530
Open Access | Times Cited: 22

Showing 22 citing articles:

Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 33
A generative adversarial network approach for removing motion blur in the automatic detection of pavement cracks
Yu Zhang, Lin Zhang
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 22, pp. 3412-3434
Open Access | Times Cited: 8
Segment-to-track for pavement crack with light-weight neural network on unmanned wheeled robot
Jianqi Zhang, Xu Yang, Wei Wang, et al.
Automation in Construction (2024) Vol. 161, pp. 105346-105346
Closed Access | Times Cited: 7
An Automated Instance Segmentation Method for Crack Detection Integrated with CrackMover Data Augmentation
Mian Zhao, Xiangyang Xu, Xiaohua Bao, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 446-446
Open Access | Times Cited: 6
Crack segmentation‐guided measurement with lightweight distillation network on edge device
Jianqi Zhang, Ling Ding, Wei Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
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: 3
Enhanced monocular vision system for multi-target deformation monitoring of bridges via oblique photography
Weizhu Zhu, Tengjiao Jiang, Junlin Heng, et al.
Engineering Structures (2024) Vol. 323, pp. 119196-119196
Closed Access | Times Cited: 2
Data-driven approach for AI-based crack detection: techniques, challenges, and future scope
Priti Chakurkar, Deepali Vora, Shruti Patil, et al.
Frontiers in Sustainable Cities (2023) Vol. 5
Open Access | Times Cited: 5
GMDNet: An Irregular Pavement Crack Segmentation Method Based on Multi-Scale Convolutional Attention Aggregation
Y. Q. Qi, Fang Wan, Guangbo Lei, et al.
Electronics (2023) Vol. 12, Iss. 15, pp. 3348-3348
Open Access | Times Cited: 4
Segment anything model-based crack segmentation using low-rank adaption fine-tuning
Yapeng Guo, Yang Xu, Hongtao Cui, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Evaluation of Traffic Sign Occlusion Rate Based on a 3D Point Cloud Space
Ziqi Wang, Xiaofei Wang, Jun Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2872-2872
Open Access | Times Cited: 1
Crack instance segmentation using splittable transformer and position coordinates
Yuanlin Zhao, Wei Li, Jiangang Ding, et al.
Automation in Construction (2024) Vol. 168, pp. 105838-105838
Closed Access | Times Cited: 1
CCD Image-Based Pixel-Level Identification Model for Pavement Cracks Under Complex Noises Using Artificial Intelligence
Fei Song, Yu Zou, Wensha Shao, et al.
IEEE Access (2023) Vol. 11, pp. 89733-89741
Open Access | Times Cited: 2
A Novel Technology Stack for Automated Road Quality Assessment Framework using Deep Learning Techniques
Prabavathy Balasundaram, Pradeep Ganesh, K. Pravinkrishnan, et al.
EMITTER International Journal of Engineering Technology (2024) Vol. 12, Iss. 1, pp. 62-89
Open Access
Road crack detection using pixel classification and intensity-based distinctive fuzzy C-means clustering
Munish Bhardwaj, Nafis Uddin Khan, Vikas Baghel
The Visual Computer (2024)
Closed Access
Fuzzy C-Means clustering based selective edge enhancement scheme for improved road crack detection
Munish Bhardwaj, Nafis Uddin Khan, Vikas Baghel
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108955-108955
Closed Access
Spliced Multimodal Residual18 Neural Network: A Breakthrough in Pavement Crack Recognition and Categorization
Asad Ullah, Zhaoyun Sun, Syed Agha Hassnain Mohsan, et al.
IEEE Access (2024) Vol. 12, pp. 110781-110797
Open Access
Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature
Hessam Kaveh, Reda Alhajj
Frontiers in Built Environment (2024) Vol. 10
Open Access
UCAN: U-shaped context aggregation network for thin crack segmentation under topological constraints
Jie Chen, Guanming Zhu, Yindong Zhang, et al.
Robotic Intelligence and Automation (2024) Vol. 44, Iss. 5, pp. 637-647
Closed Access
Robust monocular vision-based monitoring system for multi-target displacement measurement of bridges under complex backgrounds
Weizhu Zhu, Z CUI, Lei Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112242-112242
Closed Access
Bio-Induced Healing of Cement Mortars in Demineralized and Danube Water: CNN Model for Image Classification
Jasmina Nešković, Ivana Jovanović, Siniša Markov, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1751-1751
Open Access | Times Cited: 1
The Classification of Asphalt Pavement Crack Images Based on Beamlet Transform
Hassan Idow Mohamed, Mustafa Alas
The Eurasia Proceedings of Science Technology Engineering and Mathematics (2023) Vol. 26, pp. 532-540
Open Access | Times Cited: 1
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