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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:

Hybrid deep learning architecture for rail surface segmentation and surface defect detection
Yunpeng Wu, Yong Qin, Yu Qian, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 2, pp. 227-244
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel-Level Accuracy
Zihao Wu, Yunchao Tang, Bo Hong, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 73
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks
Wenlong Ye, Juanjuan Ren, Allen Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 18, pp. 2648-2665
Closed Access | Times Cited: 58
Developments, challenges, and perspectives of railway inspection robots
Guoqing Jing, Xuanyang Qin, Haoyu Wang, et al.
Automation in Construction (2022) Vol. 138, pp. 104242-104242
Closed Access | Times Cited: 57
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation
Yunpeng Wu, Fanteng Meng, Yong Qin, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101819-101819
Closed Access | Times Cited: 45
A Review of Research on Detection and Evaluation of the Rail Surface Defects
Lei Kou
Acta Polytechnica Hungarica (2022) Vol. 19, Iss. 3, pp. 167-186
Open Access | Times Cited: 41
Shape-Consistent One-Shot Unsupervised Domain Adaptation for Rail Surface Defect Segmentation
Shuai Ma, Kechen Song, Menghui Niu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9667-9679
Closed Access | Times Cited: 36
The use of unmanned ground vehicles (mobile robots) and unmanned aerial vehicles (drones) in the civil infrastructure asset management sector: Applications, robotic platforms, sensors, and algorithms
Xi Hu, Rayan H. Assaad
Expert Systems with Applications (2023) Vol. 232, pp. 120897-120897
Closed Access | Times Cited: 32
An integration–competition network for bridge crack segmentation under complex scenes
Lixiang Sun, Yixin Yang, Guoxiong Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 617-634
Closed Access | Times Cited: 25
Automatic Railroad Track Components Inspection Using Hybrid Deep Learning Framework
Yunpeng Wu, Ping Chen, Yong Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 24
Enhancing point cloud semantic segmentation in the data‐scarce domain of industrial plants through synthetic data
Florian Noichl, Fiona C. Collins, Alexander Braun, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 10, pp. 1530-1549
Open Access | Times Cited: 12
Intelligent detection of fastener defects in ballastless tracks based on deep learning
Wenlong Ye, Juanjuan Ren, Chunfang Lu, et al.
Automation in Construction (2024) Vol. 159, pp. 105280-105280
Closed Access | Times Cited: 10
3D tensor-based point cloud and image fusion for robust detection and measurement of rail surface defects
Qihang Wang, Xiaoming Wang, Qing He, et al.
Automation in Construction (2024) Vol. 161, pp. 105342-105342
Closed Access | Times Cited: 9
Image‐based monitoring of bolt loosening through deep‐learning‐based integrated detection and tracking
Xiao Pan, T.Y. Yang
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 10, pp. 1207-1222
Open Access | Times Cited: 46
Rail wheel tread defect detection using improved YOLOv3
Zongyi Xing, Zhenyu Zhang, Xiaowen Yao, et al.
Measurement (2022) Vol. 203, pp. 111959-111959
Closed Access | Times Cited: 36
Optimized instance segmentation by super-resolution and maximal clique generation
Iván García‐Aguilar, Jorge García-González, Rafael Marcos Luque‐Baena, et al.
Integrated Computer-Aided Engineering (2023) Vol. 30, Iss. 3, pp. 243-256
Closed Access | Times Cited: 21
RTLSeg: A novel multi-component inspection network for railway track line based on instance segmentation
Dehua Wei, Xiukun Wei, Qingfeng Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105822-105822
Closed Access | Times Cited: 20
3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments
Yixuan Geng, Zhipeng Wang, Limin Jia, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 12, pp. 11430-11443
Closed Access | Times Cited: 18
Semantic Segmentation of Metal Surface Defects and Corresponding Strategies
Zhao Zhang, Weibo Wang, Xiaoyan Tian
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 18
Rail surface defect detection using a transformer-based network
Feng Guo, Jian Liu, Yu Qian, et al.
Journal of Industrial Information Integration (2024) Vol. 38, pp. 100584-100584
Closed Access | Times Cited: 8
Detecting surface defects of heritage buildings based on deep learning
Xiaoli Fu, Niwat Angkawisittpan
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 8
Visual inspection system for crack defects in metal pipes
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81877-81894
Closed Access | Times Cited: 6
Remote Sensing and Machine Learning for Safer Railways: A Review
Wesam Helmi, Raj Bridgelall, Taraneh Askarzadeh
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3573-3573
Open Access | Times Cited: 6
Automatic detection of arbitrarily oriented fastener defect in high-speed railway
Yunpeng Wu, Yong Qin, Yu Qian, et al.
Automation in Construction (2021) Vol. 131, pp. 103913-103913
Closed Access | Times Cited: 38
MtlrNet: An Effective Deep Multitask Learning Architecture for Rail Crack Detection
Shijin Meng, Senyun Kuang, Zheng Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 23
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
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