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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 hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images
Shuai Zhao, Guokai Zhang, Dongming Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 12, pp. 3105-3117
Open Access | Times Cited: 21

Showing 21 citing articles:

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
Towards digitalized maintenance of operating tunnels: A text documents-based defect evaluation and visualization
Xuefeng Ou, Cong Tang, Tongming Qu, et al.
Tunnelling and Underground Space Technology (2025) Vol. 157, pp. 106345-106345
Closed Access | Times Cited: 3
A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation
Xianlei Fu, Yue Pan, Limao Zhang
Expert Systems with Applications (2023) Vol. 238, pp. 121977-121977
Closed Access | Times Cited: 27
A deep learning-based approach with anti-noise ability for identification of rock microcracks using distributed fibre optic sensing data
Shuai Zhao, Dao-Yuan Tan, Shaoqun Lin, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105525-105525
Closed Access | Times Cited: 25
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
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
CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer
Kai Liu, Tao Ren, Zhangli Lan, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 197-197
Open Access
Effect of Curing Regimes and Fiber Contents on Flexural Behaviors of Milling Steel Fiber-Reinforced Ultrahigh-Performance Concrete: Experimental and Data-Driven Studies
Wenying Guo, Baixi Chen, Yibo Yang, et al.
Journal of Materials in Civil Engineering (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 4
Enhanced Hybrid Algorithms for Segmentation and Reconstruction of Granular Grains From X‐Ray Micro Computed‐Tomography Images
Ruidong Li, Pin Zhang, Zhen‐Yu Yin, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024)
Open Access | Times Cited: 4
Automated Scene-Adaptive Rock Fragment Recognition Based on the Enhanced Segment Anything Model and Fine-Tuning RTMDet
Yudi Tang, Yulin Wang, Xin Wang, et al.
Rock Mechanics and Rock Engineering (2025)
Open Access
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
Inversion Identification of Cracks for Underground Shield Tunnel Structure Based on HHO-XFEM
Wei Gao, Shou Qian Yuan, Shuangshuang Ge, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
A Method for Extracting Joints on Mountain Tunnel Faces Based on Mask R-CNN Image Segmentation Algorithm
Honglei Qiao, Xinan Yang, Zuquan Liang, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6403-6403
Open Access | Times Cited: 3
Smart prediction of rock crack opening displacement from noisy data recorded by distributed fiber optic sensing
Shuai Zhao, Shao-Qun Lin, Dao-Yuan Tan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 3
Automatic identification of rock fractures based on deep learning
Yaopeng Ji, Shengyuan Song, Wen Zhang, et al.
Engineering Geology (2024), pp. 107874-107874
Closed Access | Times Cited: 2
A Lightweight Network with Dual Encoder and Cross Feature Fusion for Cement Pavement Crack Detection
Zhong Qu, Guoqing Mu, Bin Yuan
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 1, pp. 255-273
Open Access
A new method for inspection and detection of typical defects of protective facilities in existing railways and its application
Jian Li, Xu Gao, Huayong Lv, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access
Determination of the REV size for heterogeneous rocks with different grain sizes: Deep learning and numerical approaches
Lei Peng, Mingyao Li, Jianping Zuo, et al.
International Journal of Rock Mechanics and Mining Sciences (2024) Vol. 183, pp. 105940-105940
Closed Access
From pixel to infrastructure: Photogrammetry-based tunnel crack digitalization and documentation method using deep learning
Aohui Ouyang, Vanessa Di Murro, M. Daakir, et al.
Tunnelling and Underground Space Technology (2024) Vol. 155, pp. 106179-106179
Closed Access
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling
Wei‐Qiang Feng, Meysam Bayat, Zohreh Mousavi, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-30
Open Access
Intelligent detection method for internal fractures in mine rock masses based on borehole camera images
Xinbo Ma, Fuming Qu, Wenxuan He, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access
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