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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:

Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm
H. Luo, Yong Fang, Jianfeng Wang, et al.
Underground Space (2023) Vol. 13, pp. 241-261
Open Access | Times Cited: 21

Showing 21 citing articles:

Exploration and Improvement of Fuzzy Evaluation Model for Rockburst
Qiwei Wang, Chao Wang, Yu Liu, et al.
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 2, pp. 559-587
Closed Access | Times Cited: 5
Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models
Guozhu Rao, Yunzhang Rao, Yangjun Xie, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access
Rockburst prediction based on 3D spatial feature system of tunnel face drilling parameters
Wenhao Yi, Mingnian Wang, Qinyong Xia, et al.
Tunnelling and Underground Space Technology (2025) Vol. 159, pp. 106350-106350
Closed Access
TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion
Xiaojing Chen, Jingchao Fan, Shen Yan, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Terahertz-Based Metasurface Sensor with Graphene-Copper Hybrid Structure for Sensitive and Rapid Malaria Detection
Jacob Wekalao, Stephen Maina Njoroge, Oumaymah Elamri
(2025)
Closed Access
Analysis of Key Geological Structures and Rockburst Prediction Method
Chunchi Ma, Yuan Yang, Xiang Ji, et al.
(2025)
Closed Access
Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns
Junfeng Sun, Yong Fang, H. Luo, et al.
Underground Space (2024) Vol. 20, pp. 100-118
Closed Access | Times Cited: 3
Predicting short-term rockburst intensity using a weighted probability stacking model with optimal feature selection and Bayesian hidden layer
Jiahao Sun, Wenjie Wang, Lianku Xie
Tunnelling and Underground Space Technology (2024) Vol. 153, pp. 106021-106021
Closed Access | Times Cited: 3
Probabilistic reliability assessment method for max ground settlement prediction of subway tunnel under uncertain construction information
Yangyang Chen, Wen Liu, Demi Ai, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106805-106805
Closed Access | Times Cited: 3
Bayesian ensemble methods for predicting ground deformation due to tunnelling with sparse monitoring data
Zilong Zhang, Tingting Zhang, Xiaozhou Li, et al.
Underground Space (2023) Vol. 16, pp. 79-93
Open Access | Times Cited: 7
A two-layer stacking regression model for predicting yarn quality of small samples
Zhiyu Liu, Nanliang Chen, Jun Wang
Textile Research Journal (2024) Vol. 94, Iss. 9-10, pp. 1096-1110
Closed Access | Times Cited: 2
A novel identification model for rock burst grades-taking Jinping II hydropower station hub engineering as an example
He Kuang, Zhi Yong Ai, Gan Lin Gu
Computers and Geotechnics (2024) Vol. 172, pp. 106440-106440
Closed Access | Times Cited: 2
Rockburst prediction based on multi-featured drilling parameters and extreme tree algorithm for full-section excavated tunnel faces
Wenhao Yi, Mingnian Wang, Qinyong Xia, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
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
Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines
Roohollah Shirani Faradonbeh, Will Vaisey, Mostafa Sharifzadeh, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1681-1698
Closed Access | Times Cited: 3
Hybrid Ensemble Learning Models for Multi-Source Heterogeneous Data-Driven Assessment of Tunnel Rock Mass Weathering Degree
Chen Wu, Zhou Mingliang, Chen Wu, et al.
(2024)
Closed Access
Experimental study on the response characteristic and formation mechanism for the precursor information chain of rockburst
Jie Sun, Dongqiao Liu, Huili Huang, et al.
Research Square (Research Square) (2024)
Open Access
Rockburst Prediction Based on 3d Spatial Feature System of Tunnel Face Drilling Parameters and Convolutional Neural Network
Wenhao Yi, Mingnian Wang, Qinyong Xia, et al.
(2024)
Closed Access
A New Method of Rockburst Prediction for Categories with Sparse Data Using Improved XGBoost Algorithm
Ming Tao, Qizheng Zhao, Rui Zhao, et al.
Natural Resources Research (2024)
Closed Access
The usability of stacking-based ensemble learning model in crime prediction: a systematic review
Canan Başar Eroğlu, Hüseyin Çakır
Crime Prevention and Community Safety (2024) Vol. 26, Iss. 4, pp. 440-489
Closed Access
Prediction of residual elastic energy index for rockburst proneness evaluation based on cluster forest model
Chengbin Cai, Fengqiang Gong, Li Ren, et al.
Journal of Central South University (2024) Vol. 31, Iss. 11, pp. 4218-4231
Closed Access
Predicting Short-Term Rockburst Using a Weighted Probability Stacking Model with Optimal Feature Selection and Bayesian Hidden Layer
Jiahao Sun, Wenjie Wang, Lianku Xie
(2023)
Closed Access
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