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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:

A lightweight metro tunnel water leakage identification algorithm via machine vision
Lei Tan, Xiaoxi Hu, Tao Tang, et al.
Engineering Failure Analysis (2023) Vol. 150, pp. 107327-107327
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Enhancing rail safety through real-time defect detection: A novel lightweight network approach
Yuan Cao, Yue Liu, Yongkui Sun, et al.
Accident Analysis & Prevention (2024) Vol. 203, pp. 107617-107617
Closed Access | Times Cited: 13
A two-step deep learning-based framework for metro tunnel lining defect recognition
Yong Feng, Shi‐Jin Feng, Xiao-Lei Zhang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105832-105832
Closed Access | Times Cited: 8
LCFNets: Compensation Strategy for Real-Time Semantic Segmentation of Autonomous Driving
Lu Yang, Yiwen Bai, Fenglei Ren, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 4, pp. 4715-4729
Closed Access | Times Cited: 7
Research on the lightweight detection method of rail internal damage based on improved YOLOv8
Xiaochun Wu, Shuzhan Yu
Journal of Engineering and Applied Science (2025) Vol. 72, Iss. 1
Open Access
Study on the Distribution Patterns of Temperature Fields and Thermal Image Feature Enhancement in Tunnel Lining Cracks and Leakage
Wang Kang, Lv Gaohang, Bo Han, et al.
Journal of Nondestructive Evaluation (2025) Vol. 44, Iss. 1
Closed Access
Towards automated 3D evaluation of water leakage on a tunnel face via improved GAN and self-attention DL model
Chen Wu, Hongwei Huang, Le Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105432-105432
Closed Access | Times Cited: 14
DSNet: A Computer Vision‐Based Detection and Corrosion Segmentation Network for Corroded Bolt Detection in Tunnel
Lei Tan, Xiaohan Chen, Dajun Yuan, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
Intelligent recognition of tunnel lining defects based on deep learning: Methods, challenges and prospects
Zhong Zhou, Shishuai Li, Longbin Yan, et al.
Engineering Failure Analysis (2025), pp. 109332-109332
Closed Access
MGSLU-Net: a lightweight network for efficient detection of water leakage in subway tunnel linings
Xiaochun Wu, Ning Guo
The Visual Computer (2025)
Closed Access
Cross-Modality Target Detection Using Infrared and Visible Image Fusion for Robust Objection recognition
Hang Yu, Jichen Gao, Suiping Zhou, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110133-110133
Closed Access
Tailored Vision-Language Framework for Automated Hazard Identification And Report Generation in Construction Sites
Q. H. Chen, Xianfei Yin
(2025)
Closed Access
Robust Leakage Detection in Tunnels with Unstable Illumination Using an Explainable Deep Learning Approach
Xiangchen Yao, Shuqi Ma, Zhaoyuan Zhang, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 3
Closed Access
BBCNet: Boundary-Body Coherence Network with Adaptive Self-Attention Distillation for Enhanced Crack Segmentation
Xiao Hu, Kang Liu, Zhihao Xv
Digital Signal Processing (2025), pp. 105148-105148
Closed Access
Research on Real-Time Inspection Scheme of Tunnel Lining Surface Defects Based on YOLOv10
Enquan Fang, Shijiao Li, Zhen Liu, et al.
Lecture notes in electrical engineering (2025), pp. 18-27
Closed Access
Tunnel SAM adapter: Adapting segment anything model for tunnel water leakage inspection
Junxin Chen, Xiaojie Yu, Shichang Liu, et al.
Geohazard Mechanics (2024) Vol. 2, Iss. 1, pp. 29-36
Open Access | Times Cited: 3
Improved YOLOv8 for B-scan image flaw detection of the heavy-haul railway
Chengshui Yu, Yue Liu, Yuan Cao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076106-076106
Open Access | Times Cited: 3
Investigation on directional failure mechanism of tunnel peripheral holes induced by instantaneous expansion
Shan Guo, Quan Zhang, Zhongyu Lv, et al.
Engineering Failure Analysis (2023) Vol. 153, pp. 107627-107627
Closed Access | Times Cited: 8
An Underwater Crack Detection System Combining New Underwater Image-Processing Technology and an Improved YOLOv9 Network
Xinbo Huang, Chenxi Liang, Xinyu Li, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5981-5981
Open Access | Times Cited: 2
Lightweight defect detection algorithm of tunnel lining based on knowledge distillation
Анфу Жу, Jiaxiao Xie, Bin Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
The Sensing Performance of a Novel Optical Cable for Tunnel Water Leakage Monitoring Based on Distributed Strain Sensing
Haoyu Wang, Dan Zhang, Kang Ren, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22496-22506
Closed Access | Times Cited: 5
Prediction of Wet Area of Underwater Tunnel Lining
Le-yi Lai, Zhang Yuanzhu, Kuixin Xu
Buildings (2024) Vol. 14, Iss. 2, pp. 408-408
Open Access | Times Cited: 1
Analysis of Water Leakage Through Tunnel Lining During Subway Construction
М. С. Плешко, Petr Nikolaev, Alexander Davydenko, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 4357-4380
Closed Access | Times Cited: 1
Sustainable Development of the China Railway Express under the Belt and Road Initiative: Focusing on Infrastructure Reliability and Trade Facilitation
Qin Yu, Yun Xiao, Guangmin Wang, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8167-8167
Open Access | Times Cited: 1
Image segmentation of tunnel water leakage defects in complex environments using an improved Unet model
P. Wang, Guigang Shi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Moving Obstacles Detection Method Based on Millimeter-Wave Radar
Zelong Tang
Lecture notes in electrical engineering (2024), pp. 529-537
Closed Access
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