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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:

Predicting Tunnel Squeezing Using the SVM-BP Combination Model
Zhen Huang, Minxing Liao, Haoliang Zhang, et al.
Geotechnical and Geological Engineering (2021) Vol. 40, Iss. 3, pp. 1387-1405
Open Access | Times Cited: 21

Showing 21 citing articles:

Scale model test and numerical analysis on the anchorage zone of a cable-stayed bridge with the cross-anchor structure
Biao Wei, Ruimin Zhang, Lizhong Jiang, et al.
Engineering Structures (2024) Vol. 316, pp. 118614-118614
Closed Access | Times Cited: 9
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
Dynamic multiclass prediction of tunnel squeezing intensity with stacking model and Markov process
Liang Ming, Hao Peng, Weiwei Xie, et al.
Tunnelling and Underground Space Technology (2024) Vol. 146, pp. 105632-105632
Closed Access | Times Cited: 5
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
Developing two robust hybrid models for predicting tunnel deformation in squeezing prone grounds
Mohammad Hossein Kadkhodaei, Vahid Amirkiyaei, Ebrahim Ghasemi
Transportation Geotechnics (2024) Vol. 45, pp. 101231-101231
Closed Access | Times Cited: 4
Intelligent hybrid model to classify failure modes of overstressed rock masses in deep engineering
Zi-da Liu, Diyuan Li
Journal of Central South University (2023) Vol. 30, Iss. 1, pp. 156-174
Closed Access | Times Cited: 12
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
Multi-level Machine Learning-Driven Tunnel Squeezing Prediction: Review and New Insights
Hadi Fathipour‐Azar
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5493-5509
Closed Access | Times Cited: 16
Statistical study of squeezing for soft rocks based on factor and regression analyses of effective parameters
Mohammadreza Akbariforouz, Qi Zhao, Kewei Chen, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 163, pp. 105306-105306
Closed Access | Times Cited: 10
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
Estimating Body Weight in Captive Rabbits Based on Improved Mask RCNN
Enze Duan, Hongyun Hao, Shida Zhao, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 791-791
Open Access | Times Cited: 6
AI-Driven Prediction of Tunneling Squeezing: Comparing Rock Classification Systems
Zaid A. Al-Sadoon, Emran Alotaibi, Maher Omar, et al.
Geotechnical and Geological Engineering (2023) Vol. 42, Iss. 3, pp. 2127-2149
Closed Access | Times Cited: 6
Numerical investigation and prediction of the excavation face stability for river-crossing shield tunneling: An intelligent prediction model for limit support pressure
Xin Li, Yiguo Xue, Zhiqiang Li, et al.
Computers and Geotechnics (2023) Vol. 160, pp. 105493-105493
Closed Access | Times Cited: 5
A Segment Flotation Prediction Model for Shield Tunnel Construction Based on a Hybrid Neural Network
Xu Wang, Jiabing Zhang, Wuyue Song, et al.
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 1
Intelligent Prediction and Application Research on Soft Rock Tunnel Deformation Based on the ICPO-LSTM Model
Chunpeng Zhang, Haiming Liu, Yongmei Peng, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2244-2244
Open 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
Prediction of mud cake formation for shield tunneling based on cutterhead opening parameters
Xuening Rong, Nannan Wang, Aimin Han, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Prediction and Comparative Analysis of the Influence of Magnetic Field Effect on PM2.5 Trapping Efficiency in Electrostatic Precipitator (ESP) under Different Temperatures
Jianping Zhang, Liping Zhang
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12714-12714
Open 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.
Research Square (Research Square) (2022)
Open Access
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