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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:

Analysis and Intelligent Prediction for Displacement of Stratum and Tunnel Lining by Shield Tunnel Excavation in Complex Geological Conditions: A Case Study
Fanchao Kong, Dechun Lu, Yiding Ma, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 22206-22216
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

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
Advances in Intellectualization of Transportation Infrastructures
Yanliang Du, Ting‐Hua Yi, Xiaojun Li, et al.
Engineering (2023) Vol. 24, pp. 239-252
Open Access | Times Cited: 35
Construction techniques and mechanical behavior of newly-built large-span tunnel ultra-short distance up-crossing the existing shield tunnel with oblique angle
Yu Zhang, Lianjin Tao, Jun Liu, et al.
Tunnelling and Underground Space Technology (2023) Vol. 138, pp. 105162-105162
Closed Access | Times Cited: 29
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
Chuanqi Li, Xiancheng Mei
Applied Soft Computing (2023) Vol. 147, pp. 110808-110808
Closed Access | Times Cited: 23
Settlement transfer mechanism of CFG piles for strengthening high-speed railway subgrades induced by twin shield tunnelling undercrossing
Beiyu Wu, Xing‐Tao Lin, Dong Su, et al.
Tunnelling and Underground Space Technology (2024) Vol. 145, pp. 105577-105577
Closed Access | Times Cited: 9
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction
Qi Wang, Ping Geng, Liangjie Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109101-109101
Closed Access | Times Cited: 6
TBM disc cutter wear prediction using stratal slicing and IPSO-LSTM in mixed weathered granite stratum
Deyun Mo, Liping Bai, Weiran Huang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 148, pp. 105745-105745
Open Access | Times Cited: 5
Analysis of Intelligent Mining Pressure Monitoring and Surface Displacement Intelligent Methods Based on Machine Learning Algorithms
Qiming Wei, Ya-Jun Hu, Hu Wang, et al.
Sustainable civil infrastructures (2025), pp. 123-133
Closed Access
Numerical Analysis of Disturbance Control in a Four-Hole Parallel Tunnel Crossing Beneath Existing Tunnels
Wei Huang, Wen Liu, Miaoling Ou, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access
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
Support vector regression with heuristic optimization algorithms for predicting the ground surface displacement induced by EPB shield tunneling
Dechun Lu, Yiding Ma, Fanchao Kong, et al.
Gondwana Research (2022) Vol. 123, pp. 3-15
Closed Access | Times Cited: 22
Nonlinear Stability Analysis of Shallow-Buried Bias Tunnel Based on Failure Mode Improvement
Wei Luo, Gao Xiao, Zhi Tao, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3153-3153
Open Access
Artificial intelligence in tunnel construction: A comprehensive review of hotspots and frontier topics
Lianbaichao Liu, Zhanping Song, Xu Li
Geohazard Mechanics (2023) Vol. 2, Iss. 1, pp. 1-12
Open Access | Times Cited: 10
A novel Bi-LSTM method fusing current and historical data for tunnelling parameters of shield tunnel
Dechun Lu, Yihan Liu, Fanchao Kong, et al.
Transportation Geotechnics (2024), pp. 101402-101402
Closed Access | Times Cited: 3
Tunnelling-induced ground surface settlement: A comprehensive review with particular attention to artificial intelligence technologies
Gang Niu, Xuzhen He, Haoding Xu, et al.
Natural Hazards Research (2023) Vol. 4, Iss. 1, pp. 148-168
Open Access | Times Cited: 10
Prediction on the seismic performance limits of reinforced concrete columns based on machine learning method
Chao Ma, Jing-wei Chi, Fanchao Kong, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 177, pp. 108423-108423
Closed Access | Times Cited: 10
Joint Structure Detection and Multi-Scale Clustering Filtering for Tunnel Lining Extraction From Point Clouds
Yipeng Zhao, Aiguang Li, Zhigang Du, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11214-11226
Closed Access | Times Cited: 3
PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method
Fanchao Kong, Tao Tian, Dechun Lu, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 11, pp. 4948-4961
Closed Access | Times Cited: 8
Analytical solution for adjacent pile deformation induced by excavation construction of transportation facilities considering heavy rainfall influence
Zhiguo Zhang, Mindong Mao, Mengxi Zhang, et al.
Computers and Geotechnics (2023) Vol. 155, pp. 105230-105230
Closed Access | Times Cited: 7
Elastic analytical method with machine learning for predicting the stratum displacement field induced by shallow tunneling
Fanchao Kong, Xin Zhou, Caixia Guo, et al.
Engineering Analysis with Boundary Elements (2023) Vol. 159, pp. 201-212
Closed Access | Times Cited: 7
Prediction on seismic performance levels of reinforced concrete beams by considering crack development
Chao Ma, Jing-wei Chi, Dongxu Li, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 187, pp. 109006-109006
Closed Access | Times Cited: 2
Establishment and implementation of an artificial intelligent flume for investigating local scour around underwater foundations
Chen Wang, Qiuyue Wu, Jiaxin Liang, et al.
Transportation Geotechnics (2024) Vol. 49, pp. 101433-101433
Closed Access | Times Cited: 2
XGBoost-based global sensitivity analysis of ground settlement caused by shield tunneling in dense karst areas
Shifan Qiao, Haoyu Li, S. Thomas Ng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102928-102928
Closed Access | Times Cited: 2
Intelligent identification and quantification method of rockburst behavior characteristics based on vision and 3D laser point cloud technology
Qinghe Zhang, Chun-xu Wei, Xiang Gao, et al.
Measurement (2024) Vol. 237, pp. 115206-115206
Closed Access | Times Cited: 1
An Intelligent Detection Method for Precise Analysis of Shield Tunnel Lining Joints Through the Enhanced Faster Region-Based Convolutional Neural Network
Yiding Ma, Dechun Lu, Fanchao Kong, et al.
(2024)
Closed Access
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