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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 a hybrid classifier ensemble with incomplete data
Junfei Zhang, Dong Li, Yuhang Wang
Bulletin of Engineering Geology and the Environment (2020) Vol. 79, Iss. 6, pp. 3245-3256
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
Junfei Zhang, Yimiao Huang, Yuhang Wang, et al.
Construction and Building Materials (2020) Vol. 253, pp. 119208-119208
Closed Access | Times Cited: 184
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
Jian Zhou, Shuangli Zhu, Yingui Qiu, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1343-1366
Closed Access | Times Cited: 111
A hybrid intelligent system for designing optimal proportions of recycled aggregate concrete
Junfei Zhang, Yimiao Huang, Farhad Aslani, et al.
Journal of Cleaner Production (2020) Vol. 273, pp. 122922-122922
Closed Access | Times Cited: 105
Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups
Junfei Zhang, Yuantian Sun, Guichen Li, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1293-1307
Closed Access | Times Cited: 92
Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model
Yimiao Huang, Junfei Zhang, Foo Tze Ann, et al.
Construction and Building Materials (2020) Vol. 260, pp. 120457-120457
Open Access | Times Cited: 84
Strength of ensemble learning in multiclass classification of rockburst intensity
Junfei Zhang, Yuhang Wang, Yuantian Sun, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2020) Vol. 44, Iss. 13, pp. 1833-1853
Closed Access | Times Cited: 66
A metaheuristic-optimized multi-output model for predicting multiple properties of pervious concrete
Junfei Zhang, Yimiao Huang, Guowei Ma, et al.
Construction and Building Materials (2020) Vol. 249, pp. 118803-118803
Open Access | Times Cited: 58
An ensemble method to improve prediction of earthquake-induced soil liquefaction: a multi-dataset study
Junfei Zhang, Yuhang Wang
Neural Computing and Applications (2020) Vol. 33, Iss. 5, pp. 1533-1546
Closed Access | Times Cited: 57
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
Optimal design of sustainable recycled rubber-filled concrete using life cycle assessment and multi-objective optimization
Amin Tanhadoust, Seyed Amir Ali Emadi, Sepideh Nasrollahpour, et al.
Construction and Building Materials (2023) Vol. 402, pp. 132878-132878
Closed Access | Times Cited: 16
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
Rock burst criteria and control based on an abutment‐stress‐transfer model in deep coal roadways
Ming Zhang, Fuxing Jiang
Energy Science & Engineering (2020) Vol. 8, Iss. 8, pp. 2966-2975
Open Access | Times Cited: 40
Estimating the Compressive Strength of Cement-Based Materials with Mining Waste Using Support Vector Machine, Decision Tree, and Random Forest Models
Hongxia Ma, Jiandong Liu, Jia Zhang, et al.
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 36
Prediction of creep of recycled aggregate concrete using back‐propagation neural network and support vector machine
Xian Rong, Yinbo Liu, Pang Chen, et al.
Structural Concrete (2022) Vol. 24, Iss. 2, pp. 2229-2244
Closed Access | Times Cited: 25
Calculating of the tunnel face deformations reinforced by longitudinal fiberglass dowels: From analytical method to artificial intelligence
Chuanqi Li, Milad Zaheri, Masoud Ranjbarnia, et al.
Transportation Geotechnics (2023) Vol. 43, pp. 101152-101152
Closed Access | Times Cited: 13
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
Inclination prediction of a giant open caisson during the sinking process using various machine learning algorithms
Xuechao Dong, Mingwei Guo, Shuilin Wang
Ocean Engineering (2023) Vol. 269, pp. 113587-113587
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
A review of tunnel rockburst prediction methods based on static and dynamic indicators
Qinghe Zhang, Weiguo Li, Liang Yuan, et al.
Natural Hazards (2024) Vol. 120, Iss. 12, pp. 10465-10512
Closed Access | Times Cited: 3
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
Modelling tunnel squeezing using gene expression programming: a case study
Mohammad Hossein Kadkhodaei, Ebrahim Ghasemi, Saeed Mahdavi
Proceedings of the Institution of Civil Engineers - Geotechnical Engineering (2023) Vol. 176, Iss. 6, pp. 567-581
Closed Access | Times Cited: 8
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