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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:

Assessing severity of road cracks using deep learning-based segmentation and detection
JongWoo Ha, Dongsoo Kim, Minsoo Kim
The Journal of Supercomputing (2022) Vol. 78, Iss. 16, pp. 17721-17735
Open Access | Times Cited: 24

Showing 24 citing articles:

Modeling automatic pavement crack object detection and pixel-level segmentation
Yuchuan Du, Shan Zhong, Hongyuan Fang, et al.
Automation in Construction (2023) Vol. 150, pp. 104840-104840
Closed Access | Times Cited: 37
From classification to segmentation with explainable AI: A study on crack detection and growth monitoring
Florent Forest, Hugo Porta, Devis Tuia, et al.
Automation in Construction (2024) Vol. 165, pp. 105497-105497
Open Access | Times Cited: 6
Architecture for pavement pothole evaluation using deep learning, machine vision, and fuzzy logic
Mario Alberto Roman-Garay, Héctor Rodríguez, Carlos Beltran Hernandez-Beltran, et al.
Case Studies in Construction Materials (2025), pp. e04440-e04440
Open Access
Deep learning for automated detection and classification of crack severity level in concrete structures
Tianzi Shi, Huan Luo
Construction and Building Materials (2025) Vol. 472, pp. 140793-140793
Closed Access
Color-patterned fabric defect detection algorithm based on triplet attention multi-scale U-shape denoising convolutional auto-encoder
Hongwei Zhang, Shuaibo Liu, Chi Wang, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 4451-4476
Closed Access | Times Cited: 9
Autonomous surface crack identification for concrete structures based on the you only look once version 5 algorithm
Liang Yu, Sai Li, Guanting Ye, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108479-108479
Closed Access | Times Cited: 3
USSC-YOLO: Enhanced Multi-Scale Road Crack Object Detection Algorithm for UAV Image
Yanxiang Zhang, Yao Lu, Zijian Huo, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5586-5586
Open Access | Times Cited: 3
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: 8
Concrete crack segmentation based on multi-dimensional structure information fusion-based network
Airong Liu, Wenbin Hua, Jiaming Xu, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134982-134982
Closed Access | Times Cited: 2
Multimodal Fusion Network for Crack Segmentation with Modified U-Net and Transfer Learning–Based MobileNetV2
Shi Qiu, Qasim Zaheer, Haleema Ehsan, et al.
Journal of Infrastructure Systems (2024) Vol. 30, Iss. 4
Closed Access | Times Cited: 2
YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images
Amit Hasan Sadhin, Siti Zaiton Mohd Hashim, Hussein Samma, et al.
Baghdad Science Journal (2023) Vol. 21, Iss. 6, pp. 2167-2167
Open Access | Times Cited: 6
Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model
Lin Wang
Frattura ed Integrità Strutturale (2023) Vol. 17, Iss. 65, pp. 289-299
Open Access | Times Cited: 5
CrackScopeNet: A Lightweight Neural Network for Rapid Cracks Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
(2024)
Open Access | Times Cited: 1
CrackScopeNet: A Lightweight Neural Network for Rapid Cracks Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
(2024)
Open Access | Times Cited: 1
A deep learning model to assist visually impaired in pothole detection using computer vision
Arjun Paramarthalingam, Jegan Sivaraman, Prasannavenkatesan Theerthagiri, et al.
Decision Analytics Journal (2024) Vol. 12, pp. 100507-100507
Open Access | Times Cited: 1
CrackScopeNet: A Lightweight Neural Network for Rapid Crack Detection on Resource-Constrained Drone Platforms
Tao Zhang, Liwei Qin, Quan Zou, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 417-417
Open Access | Times Cited: 1
Paving block displacement detection and measurement using 3D laser sensors on unmanned ground vehicles
Jiwoo Shin, Seoyeon Kim, Young-Hoon Jung, et al.
Automation in Construction (2024) Vol. 168, pp. 105813-105813
Closed Access | Times Cited: 1
A Crevice-Centric Approach to Surface Crack Detection
Prema Sahane, Upendra Maurya, Rohit Bamble, et al.
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY (2024) Vol. 9, Iss. 3, pp. 36-41
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
Overcoming Catastrophic Forgetting in Neural Network During Continuous Learning: A Selective Layer Freezing Approach for Crack Detection
Ivana Halfpap, Željko Đurović
(2024), pp. 1-6
Closed Access
Research on Pavement Crack Detection Based on Random Structure Forest and Density Clustering
Xiaoyan Wang, Xiyu Wang, Jie Li, et al.
Automation (2024) Vol. 5, Iss. 4, pp. 467-483
Open Access
Automatic crack classification on asphalt pavement surfaces using convolutional neural networks and transfer learning
Sandra Matarneh, Faris Elghaish, David J. Edwards, et al.
Journal of Information Technology in Construction (2024) Vol. 29, pp. 1239-1256
Open Access
Crevice Identification: A Survey on Surface Monitoring
Vaishnavi Kumbhar, Upendra Maurya, Rohit Bamble, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Crevices Recognition on Asphalt Surfaces using Convolutional Neural Network
Mukesh Chinta, Anagani Likhita, Yamini Aravapalli
(2023)
Closed Access
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