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:

Autonomous surface crack identification of concrete structures based on an improved one-stage object detection algorithm
Pei‐Rong Wu, Airong Liu, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 272, pp. 114962-114962
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Autonomous surface crack identification of concrete structures based on the YOLOv7 algorithm
Guanting Ye, Jinsheng Qu, Jintai Tao, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106688-106688
Closed Access | Times Cited: 52
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 42
Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images
Hongwei Hu, Zirui Li, Zhiyi He, et al.
Measurement (2024) Vol. 229, pp. 114443-114443
Closed Access | Times Cited: 34
Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM
Chaohui Zhang, Xiangsheng Chen, Peng Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105857-105857
Closed Access | Times Cited: 17
Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility
Hossein Moayedi, Peren Jerfi Canatalay, Atefeh Ahmadi Dehrashid, et al.
Land (2023) Vol. 12, Iss. 1, pp. 242-242
Open Access | Times Cited: 22
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network
Hong-Hu Chu, Pang-jo CHUN
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 575-594
Open Access | Times Cited: 22
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation
Pang-jo CHUN, T. Kikuta
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 17, pp. 2642-2661
Open Access | Times Cited: 13
Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer
Hubing Li, Haowei Zhang, Hong Zhu, et al.
Engineering Structures (2024) Vol. 307, pp. 117903-117903
Closed Access | Times Cited: 12
An advanced AI-based lightweight two-stage underwater structural damage detection model
Xijun Ye, Kanhui Luo, Hanmin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102553-102553
Closed Access | Times Cited: 12
Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment
Shuo Yang, Deying Li, Yiqing Sun, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 4
Open Access | Times Cited: 11
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: 10
Fractal theory based identification model for surface crack of building structures
Zhiwen Su, Fobao Zhou, Jiaqiao Liang, et al.
Engineering Structures (2024) Vol. 305, pp. 117708-117708
Open Access | Times Cited: 9
Research on evaluation method of underwater image quality and performance of underwater structure defect detection model
Yonghui Huang, Qiye Zhuo, Jiyang Fu, et al.
Engineering Structures (2024) Vol. 306, pp. 117797-117797
Closed Access | Times Cited: 9
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
Hydraulic fracturing simulation of concrete dam integrating intelligent crack detection and refined modeling methods
Qiaoling Min, Mengxi Zhang, Mingchao Li, et al.
Engineering Structures (2024) Vol. 305, pp. 117760-117760
Closed Access | Times Cited: 7
Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification
G. Kolappan Geetha, Hyun-Jung Yang, Sung‐Han Sim
Sensors (2023) Vol. 23, Iss. 3, pp. 1419-1419
Open Access | Times Cited: 13
Concrete Surface Crack Detection Algorithm Based on Improved YOLOv8
Xuwei Dong, Yang Liu, Jinpeng Dai
Sensors (2024) Vol. 24, Iss. 16, pp. 5252-5252
Open Access | Times Cited: 5
Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model
Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3402-3402
Open Access | Times Cited: 5
Automated detection of underwater cracks based on fusion of optical and texture information
Shuai Teng, Airong Liu, Zhihua Wu, et al.
Engineering Structures (2024) Vol. 315, pp. 118515-118515
Closed Access | Times Cited: 4
Automatic detection of subsurface defects in concrete structures using state-of-the-art deep learning-based object detectors on the infrared dataset
Quang Tai Ta, Van Ha Mac, Jungwon Huh, et al.
Engineering Structures (2025) Vol. 329, pp. 119829-119829
Closed Access
Seismic damage recognition of structural and non-structural components based on convolutional neural networks
Weiping Wen, Tao Xu, Jie Hu, et al.
Journal of Building Engineering (2025) Vol. 102, pp. 112012-112012
Closed Access
Artificial intelligence (AI) for reinforced autoclaved aerated concrete (RAAC) crack defect identification
Karen B. Blay, Christopher Gorse, Chris I. Goodier, et al.
International Journal of Building Pathology and Adaptation (2025)
Closed Access
Deep learning-based 3D reconstruction of ancient buildings with surface damage identification and localization
Xundiao Zhu, Qiankun Zhu, Qiong Zhang, et al.
Structures (2025) Vol. 73, pp. 108383-108383
Closed Access
Effect of image quality associated with corrosion-induced cracks on machine learning-based load-bearing capacity assessment of RC beams
Taiki Yamada, Mitsuyoshi Akiyama, Zhejun Xu, et al.
Structure and Infrastructure Engineering (2025), pp. 1-23
Closed Access
Proposal of an Integrated Method of Unmanned Aerial Vehicle and Artificial Intelligence for Crack Detection, Classification, and PCI Calculation of Airport Pavements
Valerio Perri, Misagh Ketabdari, Stefano Cimichella, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3180-3180
Open Access
Page 1 - Next Page

Scroll to top