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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 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: 116

Showing 1-25 of 116 citing articles:

Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
Jian Zhou, Shuai Huang, Yingui Qiu
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104494-104494
Closed Access | Times Cited: 99
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Jian Zhou, Shuai Huang, Tao Zhou, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5673-5705
Closed Access | Times Cited: 96
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Biao He, Danial Jahed Armaghani, Sai Hin Lai
Tunnelling and Underground Space Technology (2023) Vol. 133, pp. 104979-104979
Closed Access | Times Cited: 76
Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets
Jyotirmayee Behera, Ajit Kumar Pasayat, Harekrushna Behera, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105843-105843
Closed Access | Times Cited: 73
Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model
Yingui Qiu, Jian Zhou
Acta Geotechnica (2023) Vol. 18, Iss. 12, pp. 6655-6685
Closed Access | Times Cited: 68
Prediction method of rock spalling risk in large underground cavern excavation based on Bayesian network: A case study from the Baihetan hydropower station, China
Guofeng Liu, Zhiqiang Liu, Dingping Xu, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106381-106381
Closed Access | Times Cited: 2
Hybrid catboost models optimized with metaheuristics for predicting shear strength in rock joints
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 2
Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization
Diyuan Li, Zida Liu, Peng Xiao, et al.
Underground Space (2022) Vol. 7, Iss. 5, pp. 833-846
Open Access | Times Cited: 67
Novel Ensemble Tree Solution for Rockburst Prediction Using Deep Forest
Diyuan Li, Zida Liu, Danial Jahed Armaghani, et al.
Mathematics (2022) Vol. 10, Iss. 5, pp. 787-787
Open Access | Times Cited: 57
Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques
Buddhima Indraratna, Danial Jahed Armaghani, A. Gomes Correia, et al.
Transportation Geotechnics (2022) Vol. 38, pp. 100895-100895
Closed Access | Times Cited: 51
Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting
Chuanqi Li, Jian Zhou, Manoj Khandelwal, et al.
Natural Resources Research (2022) Vol. 31, Iss. 5, pp. 3017-3039
Open Access | Times Cited: 49
Safety prediction of shield tunnel construction using deep belief network and whale optimization algorithm
Shuangshuang Ge, Wei Gao, Shuang Cui, et al.
Automation in Construction (2022) Vol. 142, pp. 104488-104488
Closed Access | Times Cited: 49
Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms
Chuanqi Li, Jian Zhou, Kun Du, et al.
International Journal of Mining Science and Technology (2023) Vol. 33, Iss. 8, pp. 1019-1036
Open Access | Times Cited: 41
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
Muhammad Kamran, Barkat Ullah, Mahmood Ahmad, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 39
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 374-384
Closed Access | Times Cited: 37
Machine learning models to predict the tunnel wall convergence
Jian Zhou, Yuxin Chen, Chuanqi Li, et al.
Transportation Geotechnics (2023) Vol. 41, pp. 101022-101022
Closed Access | Times Cited: 34
Recent advances of whale optimization algorithm, its versions and applications
Zaid Abdi Alkareem Alyasseri, Nabeel Salih Ali, Mohammed Azmi Al‐Betar, et al.
Elsevier eBooks (2024), pp. 9-31
Closed Access | Times Cited: 9
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 9
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards
Ishwor Thapa, Sufyan Ghani, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Open Access | Times Cited: 1
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: 21
Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms
Ishwor Thapa, Sufyan Ghani
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 2, pp. 1119-1144
Closed Access | Times Cited: 21
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46087-46159
Closed Access | Times Cited: 19
Probabilistic machine learning approach to predict incompetent rock masses in TBM construction
Wenkun Yang, Jian Zhao, Jianchun Li, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4973-4991
Closed Access | Times Cited: 17
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: 8
Advanced Machine Learning Methods for Prediction of Blast-Induced Flyrock Using Hybrid SVR Methods
Ji Zhou, Yijun Lü, Qiong Tian, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1595-1617
Open Access | Times Cited: 7
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