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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:

Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings
Shuai Zhao, Mahdi Shadabfar, Dongming Zhang, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 6
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Automated extraction and evaluation of fracture trace maps from rock tunnel face images via deep learning
Jiayao Chen, Mingliang Zhou, Hongwei Huang, et al.
International Journal of Rock Mechanics and Mining Sciences (2021) Vol. 142, pp. 104745-104745
Closed Access | Times Cited: 112
Prediction of rockhead using a hybrid N-XGBoost machine learning framework
Xing Zhu, Jian Chu, Kangda Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1231-1245
Open Access | Times Cited: 105
Prediction of landslide displacement with dynamic features using intelligent approaches
Yonggang Zhang, Jun Tang, Yung‐Ming Cheng, et al.
International Journal of Mining Science and Technology (2022) Vol. 32, Iss. 3, pp. 539-549
Open Access | Times Cited: 85
Mutual information based anomaly detection of monitoring data with attention mechanism and residual learning
Xiaoming Lei, Ye Xia, Ao Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109607-109607
Closed Access | Times Cited: 71
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
Machine learning-based classification of rock discontinuity trace: SMOTE oversampling integrated with GBT ensemble learning
Jiayao Chen, Hongwei Huang, Anthony G. Cohn, et al.
International Journal of Mining Science and Technology (2021) Vol. 32, Iss. 2, pp. 309-322
Open Access | Times Cited: 91
A deep learning-based approach for refined crack evaluation from shield tunnel lining images
Shuai Zhao, Dongming Zhang, Yadong Xue, et al.
Automation in Construction (2021) Vol. 132, pp. 103934-103934
Closed Access | Times Cited: 80
Tunnel boring machine vibration-based deep learning for the ground identification of working faces
Mengbo Liu, Shaoming Liao, Yifeng Yang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1340-1357
Open Access | Times Cited: 71
Deep learning-based evaluation of factor of safety with confidence interval for tunnel deformation in spatially variable soil
Jinzhang Zhang, Kok‐Kwang Phoon, Dongming Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1358-1367
Open Access | Times Cited: 57
Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 33
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
Automatic segmentation of tunnel lining defects based on multiscale attention and context information enhancement
Zhong Zhou, Longbin Yan, Junjie Zhang, et al.
Construction and Building Materials (2023) Vol. 387, pp. 131621-131621
Closed Access | Times Cited: 29
Deep learning with visual explanations for leakage defect segmentation of metro shield tunnel
Shi Jin Feng, Yong Feng, Xiaolei Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105107-105107
Closed Access | Times Cited: 25
Image segmentation using Vision Transformer for tunnel defect assessment
Shaojie Qin, Taiyue Qi, Tang Deng, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 21, pp. 3243-3268
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
Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models
Mingliang Zhou, Jiayao Chen, Hongwei Huang, et al.
International Journal of Rock Mechanics and Mining Sciences (2021) Vol. 147, pp. 104914-104914
Closed Access | Times Cited: 42
Face stability analysis of circular tunnels in layered rock masses using the upper bound theorem
Jianhong Man, Mingliang Zhou, Dongming Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 6, pp. 1836-1848
Closed Access | Times Cited: 35
Study on Excavation Sequence of Pilot Tunnels for a Rectangular Tunnel Using Numerical Simulation and Field Monitoring Method
Shuobiao Li, Yonggang Zhang, Ming Cao, et al.
Rock Mechanics and Rock Engineering (2022) Vol. 55, Iss. 6, pp. 3507-3523
Closed Access | Times Cited: 35
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
Intelligent segmentation and quantification of tunnel lining cracks via computer vision
Yong Feng, Xiao-Lei Zhang, Shi‐Jin Feng, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 5
A Teacher-Student Framework Leveraging Large Vision Model for Data Pre-Annotation and YOLO for Tunnel Lining Multiple Defects Instance Segmentation
Hanlong Yang, Lujie Wang, Yue Pan, et al.
Journal of Industrial Information Integration (2025), pp. 100790-100790
Closed Access
Surface Feature and Defect Detection Method for Shield Tunnel Based on Deep Learning
Laikuang Lin, Hailong Zhu, Yingbo Ma, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information
Mingliang Zhou, Wen Cheng, Hongwei Huang, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5725-5725
Open Access | Times Cited: 39
A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face
Jiayao Chen, Yifeng Chen, Anthony G. Cohn, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1077-1088
Open Access | Times Cited: 22
Artificial neural networks applications in construction and building engineering (1991–2021): Science mapping and visualization
Mohamed Marzouk, Ahmed Elhakeem, Kareem Adel
Applied Soft Computing (2023) Vol. 152, pp. 111174-111174
Closed Access | Times Cited: 15
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