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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:

Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach
Yue Pan, Xianlei Fu, Limao Zhang
Automation in Construction (2022) Vol. 141, pp. 104386-104386
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Deep learning technologies for shield tunneling: Challenges and opportunities
Cheng Zhou, Yuyue Gao, Elton J. Chen, et al.
Automation in Construction (2023) Vol. 154, pp. 104982-104982
Closed Access | Times Cited: 54
Digital twin enabled real-time advanced control of TBM operation using deep learning methods
Limao Zhang, Guo Jing, Xianlei Fu, et al.
Automation in Construction (2023) Vol. 158, pp. 105240-105240
Closed Access | Times Cited: 41
Advanced informatic technologies for intelligent construction: A review
Limao Zhang, Yongsheng Li, Yue Pan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109104-109104
Closed Access | Times Cited: 28
Smart virtual sensing for deep excavations using real-time ensemble graph neural networks
Chen Yang, Chen Wang, Feng Zhao, et al.
Automation in Construction (2025) Vol. 172, pp. 106040-106040
Closed Access | Times Cited: 1
Dynamic and explainable deep learning-based risk prediction on adjacent building induced by deep excavation
Xuyang Li, Yue Pan, Limao Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 140, pp. 105243-105243
Closed Access | Times Cited: 29
Dynamic prediction for attitude and position of shield machine in tunneling: A hybrid deep learning method considering dual attention
Zeyu Dai, Peinan Li, Mengqi Zhu, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102032-102032
Closed Access | Times Cited: 28
Unfavorable geology recognition in front of shallow tunnel face using machine learning
Chenyang Zhao, Elham Mahmoudi, Maomao Luo, et al.
Computers and Geotechnics (2023) Vol. 157, pp. 105313-105313
Closed Access | Times Cited: 26
Physics-guided deep learning for driving force estimation in synchronous tunnel boring machines under missing cylinders
Yongsheng Li, Yue Pan, Limao Zhang
Automation in Construction (2024) Vol. 161, pp. 105339-105339
Closed Access | Times Cited: 9
Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality
Xiaojing Zhou, Yue Pan, Jianjun Qin, et al.
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105605-105605
Closed Access | Times Cited: 8
A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM
Sihao Yu, Zixin Zhang, Shuaifeng Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 65-80
Open Access | Times Cited: 19
Causal discovery and reasoning for geotechnical risk analysis
Wenli Liu, Fenghua Liu, Weili Fang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109659-109659
Closed Access | Times Cited: 17
Real-time online prediction of surface settlement considering spatiotemporal characteristics during foundation excavation
Xin Ning, Yue An, Lei Ju, et al.
Automation in Construction (2023) Vol. 150, pp. 104831-104831
Closed Access | Times Cited: 16
Data-driven joint multi-objective prediction and optimization for advanced control during tunnel construction
Xianlei Fu, Maozhi Wu, Robert Lee Kong Tiong, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122118-122118
Closed Access | Times Cited: 16
Automatic Fine-Grained BIM element classification using Multi-Modal deep learning (MMDL)
Hao Liu, Vincent J.L. Gan, Jack C.P. Cheng, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102458-102458
Closed Access | Times Cited: 5
Intelligent prediction and optimization of ground settlement induced by shield tunneling construction
Dejun Liu, Wenpeng Zhang, Kang Duan, et al.
Tunnelling and Underground Space Technology (2025) Vol. 160, pp. 106486-106486
Closed Access
A deep learning-based adaptive denoising approach for fine identification of rock microcracks from noisy strain data
Shuai Zhao, Dian-Rui Mu, Dao-Yuan Tan
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110471-110471
Closed Access
Enhancing strategic investment in construction engineering projects: A novel graph attention network decision-support model
Fatemeh Mostofi, Ümit Bahadır, Onur Behzat Tokdemir, et al.
Computers & Industrial Engineering (2025), pp. 111033-111033
Closed Access
Optimizing Tunnel Boring Machine Operations in Real Time within Defined Constraints
Young Jin Shin, Ebrahim Farrokh, Jaehoon Jung, et al.
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 6
Closed Access
Causality-Guided Explainable Deep-Learning Model for Managing Tunnel-Induced Ground Settlement Risks
Wenli Liu, Fenghua Liu, Peter E.D. Love, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Construction Safety Risk Model with Construction Accident Network: A Graph Convolutional Network Approach
Fatemeh Mostofi, Vedat Toğan, Yunus Emre Ayözen, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 15906-15906
Open Access | Times Cited: 24
Time series clustering-enabled geological condition perception in tunnel boring machine excavation
Yue Pan, Maozhi Wu, Limao Zhang, et al.
Automation in Construction (2023) Vol. 153, pp. 104954-104954
Closed Access | Times Cited: 15
Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties
Jiaqi Wang, Ke Chen, Hui Yang, et al.
Automation in Construction (2023) Vol. 157, pp. 105134-105134
Closed Access | Times Cited: 14
Unmanned aerial vehicle–human collaboration route planning for intelligent infrastructure inspection
Yue Pan, Linfeng Li, Jianjun Qin, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 14, pp. 2074-2104
Open Access | Times Cited: 4
Optimized machine learning models for predicting crown convergence of plateau mountain tunnels
Xuefeng An, Fei Zheng, Yu‐Yong Jiao, et al.
Transportation Geotechnics (2024) Vol. 46, pp. 101254-101254
Closed Access | Times Cited: 4
TBM tunneling strata automatic identification and working conditions decision support
Kang Fu, Daohong Qiu, Yiguo Xue, et al.
Automation in Construction (2024) Vol. 163, pp. 105425-105425
Closed Access | Times Cited: 4
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