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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:

Dynamic prediction of mechanized shield tunneling performance
Ruohan Wang, Dianqing Li, Elton J. Chen, et al.
Automation in Construction (2021) Vol. 132, pp. 103958-103958
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Real-time prediction of shield moving trajectory during tunnelling
Shui‐Long Shen, Khalid Elbaz, Wafaa Mohamed Shaban, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1533-1549
Closed Access | Times Cited: 83
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
Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Qing Kang, Elton J. Chen, Zhongchao Li, et al.
Underground Space (2023) Vol. 13, pp. 335-350
Open Access | Times Cited: 53
Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
Jianbin Li, Zuyu Chen, Xu Li, et al.
Underground Space (2023) Vol. 11, pp. 1-25
Open Access | Times Cited: 42
Prediction of surface settlement around subway foundation pits based on spatiotemporal characteristics and deep learning models
Wensong Zhang, Ying Yuan, Meng Long, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106149-106149
Closed Access | Times Cited: 18
Mitigating tunnel-induced damages using deep neural networks
Yue Pan, Limao Zhang
Automation in Construction (2022) Vol. 138, pp. 104219-104219
Closed Access | Times Cited: 43
Identification of geological characteristics from construction parameters during shield tunnelling
Tao Yan, Shui‐Long Shen, Annan Zhou
Acta Geotechnica (2022) Vol. 18, Iss. 1, pp. 535-551
Open Access | Times Cited: 39
Novel hybrid MFO-XGBoost model for predicting the racking ratio of the rectangular tunnels subjected to seismic loading
Van-Quang Nguyen, Viet‐Linh Tran, Duy-Duan Nguyen, et al.
Transportation Geotechnics (2022) Vol. 37, pp. 100878-100878
Closed Access | Times Cited: 38
Influence of cutterhead opening ratio on soil arching effect and face stability during tunnelling through non-uniform soils
Xuejian Chen, Pei-Pei Fang, Qiunan Chen, et al.
Underground Space (2023) Vol. 17, pp. 45-59
Open Access | Times Cited: 36
3D large-deformation modelling on face instability and sinkhole formation during tunnelling through non-uniform soils
Xuejian Chen, Yao Hu, Lei Zhang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 134, pp. 105011-105011
Closed Access | Times Cited: 29
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
Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 5, pp. 1538-1551
Open Access | Times Cited: 27
Reconstruction of long-term strain data for structural health monitoring with a hybrid deep-learning and autoregressive model considering thermal effects
Chengbin Chen, Liqun Tang, Yonghui Lu, et al.
Engineering Structures (2023) Vol. 285, pp. 116063-116063
Closed Access | Times Cited: 25
Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty
Ruohan Wang, Shaofan Li, Yong Liu, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106128-106128
Closed Access | Times Cited: 14
LSTM-based deformation forecasting for additional stress estimation of existing tunnel structure induced by adjacent shield tunneling
Xiao‐Wei Ye, Siyuan Ma, Zhixiong Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105664-105664
Closed Access | Times Cited: 10
Internal Piping Erosion Evaluation of Embankment Dam Considering the Spatial Variability of Soil Properties
Ruohan Wang, Chen Guan, Yong Liu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 7
Large-deformation finite-element modelling of face instability during tunnelling in clayey soils: Incorporating dynamic excavation process
Xuejian Chen, Yao Hu, Kai Yao, et al.
Tunnelling and Underground Space Technology (2024) Vol. 153, pp. 106038-106038
Closed Access | Times Cited: 7
Predicting shield position deviation based on double-path hybrid deep neural networks
Jin Xu, Zehui Zhang, Longguan Zhang, et al.
Automation in Construction (2023) Vol. 148, pp. 104775-104775
Closed Access | Times Cited: 17
Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review
Feng Shan, Xuzhen He, Haoding Xu, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 2, pp. 1516-1535
Open Access | Times Cited: 16
Performance prediction of a ground source heat pump system using denoised long short-term memory neural network optimised by fast non-dominated sorting genetic algorithm-II
Chaoran Wang, Yu Xiong, Chanjuan Han
Geothermics (2024) Vol. 120, pp. 103002-103002
Closed Access | Times Cited: 6
Autonomous steering control for tunnel boring machines
Zhe Zheng, Kaidi Luo, X.-L. Tan, et al.
Automation in Construction (2024) Vol. 159, pp. 105259-105259
Closed Access | Times Cited: 5
Prediction of shield machine attitude parameters based on decomposition and multi-head attention mechanism
Qiushi Wang, Wenqi Ding, Kourosh Khoshelham, et al.
Automation in Construction (2025) Vol. 171, pp. 105973-105973
Closed Access
Robotic replacement for disc cutters in tunnel boring machines
Liang Du, Jianjun Yuan, Sheng Bao, et al.
Automation in Construction (2022) Vol. 140, pp. 104369-104369
Closed Access | Times Cited: 25
Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105906-105906
Open Access | Times Cited: 4
A Novel Real-Time Torque Prediction of EPB Shield in Mixed Ground Using Machine Learning Method Based on Geological Knowledge Fusion
Tsunming Wong, Yingjie Wei, Yong Zeng, et al.
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 3
Closed Access
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