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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:

Vision Measurement of Tunnel Structures with Robust Modelling and Deep Learning Algorithms
Xiangyang Xu, Hao Yang
Sensors (2020) Vol. 20, Iss. 17, pp. 4945-4945
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN
Xiangyang Xu, Mian Zhao, Peixin Shi, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1215-1215
Open Access | Times Cited: 200
Trustworthy AI and robotics: Implications for the AEC industry
Newsha Emaminejad, Reza Akhavian
Automation in Construction (2022) Vol. 139, pp. 104298-104298
Open Access | Times Cited: 75
Tunnel lining detection and retrofitting
Yandan Jiang, Lai Wang, Bo Zhang, et al.
Automation in Construction (2023) Vol. 152, pp. 104881-104881
Open Access | Times Cited: 40
Practical machine learning-based prediction model for axial capacity of square CFST columns
Tien-Thinh Le
Mechanics of Advanced Materials and Structures (2020) Vol. 29, Iss. 12, pp. 1782-1797
Closed Access | Times Cited: 84
Comparative analysis of different machine learning algorithms to predict mechanical properties of concrete
Bhanu P. Koya, Sakshi Aneja, Rishi Gupta, et al.
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 25, pp. 4032-4043
Closed Access | Times Cited: 77
Automatic tunnel lining crack evaluation and measurement using deep learning
L. Minh Dang, Hanxiang Wang, Yanfen Li, et al.
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104472-104472
Closed Access | Times Cited: 64
Structure monitoring and deformation analysis of tunnel structure
Hao Yang, Xiangyang Xu
Composite Structures (2021) Vol. 276, pp. 114565-114565
Closed Access | Times Cited: 62
CONTAINER SHIP CELL GUIDE ACCURACY CHECK TECHNOLOGY BASED ON IMPROVED 3D POINT CLOUD INSTANCE SEGMENTATION
Chengjie Zong, Zhibo Wan
Brodogradnja (2022) Vol. 73, Iss. 1, pp. 23-35
Open Access | Times Cited: 51
An improved 3D point cloud instance segmentation method for overhead catenary height detection
Chengjie Zong, Hao Wang, Zhibo Wan
Computers & Electrical Engineering (2022) Vol. 98, pp. 107685-107685
Closed Access | Times Cited: 48
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 35
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 27
Tunnel lining crack detection model based on improved YOLOv5
Shuqian Duan, Minghuan Zhang, Shili Qiu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105713-105713
Closed Access | Times Cited: 13
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
Crushing characteristics of bionic thin-walled tubes inspired by bamboo and beetle forewing
Linwei Zhang, Yong Zhong, Wenxiao Tan, et al.
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 14, pp. 2024-2039
Closed Access | Times Cited: 38
A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance
Lorenzo De Donato, Francesco Flammini, Stefano Marrone, et al.
IEEE Access (2022) Vol. 10, pp. 65376-65400
Open Access | Times Cited: 23
A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks
Hong-Hu Chu, Lu Deng, Huaqing Yuan, et al.
Automation in Construction (2023) Vol. 158, pp. 105194-105194
Closed Access | Times Cited: 12
A novel vision measurement system for health monitoring of tunnel structures
Xiangyang Xu, Peixin Shi, Xiaoqi Zhou, et al.
Mechanics of Advanced Materials and Structures (2020) Vol. 29, Iss. 15, pp. 2208-2218
Closed Access | Times Cited: 24
Buckling analysis of three-dimensional functionally graded sandwich plates using two-dimensional scaled boundary finite element method
Wenbin Ye, Jun Liu, Quansheng Zang, et al.
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 17, pp. 2468-2483
Closed Access | Times Cited: 21
Failure risk assessment method of masonry structures under earthquakes and flood scouring
Zhi‐Qian Dong, Gang Li, Song Bo, et al.
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 21, pp. 3055-3066
Closed Access | Times Cited: 18
Intelligent monitoring and residual analysis of tunnel point cloud data based on free-form approximation
Xiangyang Xu, Zihan Wang, Peixin Shi, et al.
Mechanics of Advanced Materials and Structures (2022) Vol. 30, Iss. 8, pp. 1703-1712
Closed Access | Times Cited: 13
Automatic Detection and Association Analysis of Multiple Surface Defects on Shield Subway Tunnels
Ziren Yin, Zhanzhan Lei, Ao Zheng, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7106-7106
Open Access | Times Cited: 7
Bending behaviors of the in-plane bidirectional functionally graded piezoelectric material plates
Pengchong Zhang, Chengzhi Qi, Xu Sun, et al.
Mechanics of Advanced Materials and Structures (2020) Vol. 29, Iss. 13, pp. 1925-1945
Closed Access | Times Cited: 20
Intelligent monitoring of tunnel structures based on vision measurement technologies
Hao Yang, Quan Shi, Xiangyang Xu
Mechanics of Advanced Materials and Structures (2021) Vol. 29, Iss. 27, pp. 5906-5910
Closed Access | Times Cited: 13
Theoretical, Numerical, and Experimental Study on the Identification of Subway Tunnel Structural Damage Based on the Moving Train Dynamic Response
Hongqiao Li, Xiongyao Xie, Yonglai Zhang, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7197-7197
Open Access | Times Cited: 12
Predictions of loading capacity and stiffness of corroded circular steel tubes based on artificial neural networks
Zhongwei Zhao, Song Zhou, Yuan Le Yang, et al.
Mechanics of Advanced Materials and Structures (2022) Vol. 30, Iss. 19, pp. 4040-4051
Closed Access | Times Cited: 8
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