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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:

Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database
Yin Bo, Xing Huang, Yucong Pan, et al.
Underground Space (2023) Vol. 10, pp. 91-117
Open Access | Times Cited: 20

Showing 20 citing articles:

Prediction of tunnel deformation using PSO variant integrated with XGBoost and its TBM jamming application
Yin Bo, Xiaogang Guo, Quansheng Liu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 150, pp. 105842-105842
Closed Access | Times Cited: 13
Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost
Xuanjia Huang, Weizheng Liu, Qing Guo, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 186, pp. 108943-108943
Closed Access | Times Cited: 7
Uniaxial Compressive Strength Prediction for Rock Material in Deep Mine Using Boosting-Based Machine Learning Methods and Optimization Algorithms
Junjie Zhao, Diyuan Li, Jingtai Jiang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 1, pp. 275-304
Open Access | Times Cited: 7
Optimal AI Model for Accurate Classification of Squeezing in Underground Structures
Hadi Fattahi, Ehsan Mohtarami
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access
Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models
Peng Guan, Guangzhao Ou, Liang Feng, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Performance evaluation of rock fragmentation prediction based on RF‐BOA, AdaBoost‐BOA, GBoost‐BOA, and ERT‐BOA hybrid models
Junjie Zhao, Diyuan Li, Jian Zhou, et al.
Deep Underground Science and Engineering (2024)
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
Prediction of shield tunneling-induced ground settlement using LSTM architecture enhanced by multi-head self-attention mechanism
Minghui Yang, Ming Song, Yanwei Guo, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106536-106536
Closed Access
Thrust force requirement prediction using HOA‐XGBoost for TBM tunneling in squeezing ground
Rongwen Chen, Minglin Zheng, Fulin Li, et al.
ce/papers (2025) Vol. 8, Iss. 2, pp. 1439-1447
Closed Access
Developing hybrid XGBoost model integrated with entropy weight and Bayesian optimization for predicting tunnel squeezing intensity
Xiaojie Geng, Shunchuan Wu, Yanjie Zhang, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 751-771
Open Access | Times Cited: 12
Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States
Yadong Xue, Wei Zhang, Yilin Wang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105418-105418
Closed Access | Times Cited: 11
An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
Ebrahim Ghasemi, Saeed Hassani, Mohammad Hossein Kadkhodaei, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 3992-4016
Closed Access | Times Cited: 2
Artificial intelligence driven tunneling-induced surface settlement prediction
Ming Song, Minghui Yang, Guiqing Yao, et al.
Automation in Construction (2024) Vol. 168, pp. 105819-105819
Closed Access | Times Cited: 2
Shear behaviors and peak friction angle predictions of three critical geomembrane–soil interfaces
Yanfang Feng, Dongxing Wang
Acta Geotechnica (2023) Vol. 19, Iss. 5, pp. 3139-3160
Closed Access | Times Cited: 6
Explainable deep learning-based dynamic prediction of surface settlement considering temporal characteristics during deep excavation
Xuefeng An, Hanbin Luo, Fei Zheng, et al.
Applied Soft Computing (2024), pp. 112273-112273
Closed Access | Times Cited: 1
Improving predictions of rock tunnel squeezing with ensemble Q-learning and online Markov chain
Hadi Sarhangi Fard, Hamïd Parvïn, Mohammadreza Mahmoudi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Surrounding Rock Squeezing Classification in Underground Engineering Using a Hybrid Paradigm of Generative Artificial Intelligence and Deep Ensemble Learning
Shouye Cheng, Xin Yin, Feng Gao, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3832-3832
Open Access | Times Cited: 1
Analysis of squeezing‐induced failure in a water tunnel and measure of rehabilitation: A case study of Tishreen tunnel, Syria
Mohannad Mhanna, Hussein Hadi Hussein
Deep Underground Science and Engineering (2024)
Open Access
Missing data imputation in tunnel monitoring with a spatio-temporal correlation fused machine learning model
Xuyan Tan, Weizhong Chen, Xianjun Tan, et al.
Journal of Civil Structural Health Monitoring (2024)
Closed Access
Study on comprehensive rating of integrity index K for CHN-BQ method based on cloud model
Qi Zhang, Yixin Shen, Hehua Zhu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 157, pp. 106305-106305
Closed Access
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