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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:

Strength of Stacking Technique of Ensemble Learning in Rockburst Prediction with Imbalanced Data: Comparison of Eight Single and Ensemble Models
Xin Yin, Quansheng Liu, Yucong Pan, et al.
Natural Resources Research (2021) Vol. 30, Iss. 2, pp. 1795-1815
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Rockburst mechanism in coal rock with structural surface and the microseismic (MS) and electromagnetic radiation (EMR) response
Xuelong Li, Shaojie Chen, Enyuan Wang, et al.
Engineering Failure Analysis (2021) Vol. 124, pp. 105396-105396
Closed Access | Times Cited: 182
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: 67
Assessment of the ground vibration during blasting in mining projects using different computational approaches
Shahab Hosseini, Jitendra Khatti, Blessing Olamide Taiwo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 59
Rockburst prediction and prevention in underground space excavation
Jian Zhou, Yulin Zhang, Chuanqi Li, et al.
Underground Space (2023) Vol. 14, pp. 70-98
Open Access | Times Cited: 44
Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application
Xin Yin, Quansheng Liu, Xing Huang, et al.
Tunnelling and Underground Space Technology (2021) Vol. 117, pp. 104133-104133
Closed Access | Times Cited: 68
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Yong Dai, Manoj Khandelwal, Yingui Qiu, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 8, pp. 6273-6288
Closed Access | Times Cited: 67
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: 61
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: 56
Development of Rockburst Research: A Comprehensive Review
Meng Wu, Yicheng Ye, Qihu Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 974-974
Open Access | Times Cited: 49
Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments
Diyuan Li, Zida Liu, Danial Jahed Armaghani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm
Xing Huang, Quan-tai Zhang, Quansheng Liu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 3, pp. 798-812
Open Access | Times Cited: 42
Rockburst prediction model using machine learning based on microseismic parameters of Qinling water conveyance tunnel
Ke Ma, Qingqing Shen, Xingye Sun, et al.
Journal of Central South University (2023) Vol. 30, Iss. 1, pp. 289-305
Closed Access | Times Cited: 33
A rockburst prediction model based on extreme learning machine with improved Harris Hawks optimization and its application
Mingliang Li, Kegang Li, Qingci Qin
Tunnelling and Underground Space Technology (2023) Vol. 134, pp. 104978-104978
Closed Access | Times Cited: 25
Decision Intelligence-Based Predictive Modelling of Hard Rock Pillar Stability Using K-Nearest Neighbour Coupled with Grey Wolf Optimization Algorithm
Muhammad Kamran, Waseem Chaudhry, Blessing Olamide Taiwo, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 13
Probabilistic assessment of rockburst risk in TBM-excavated tunnels with multi-source data fusion
Xin Yin, Shouye Cheng, Honggan Yu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105915-105915
Closed Access | Times Cited: 11
Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model
Deping Guo, Hemao Chen, Libin Tang, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1183-1205
Closed Access | Times Cited: 46
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: 36
Application of ensemble neural-network method to integrated sugar content prediction model for citrus fruit using Vis/NIR spectroscopy.
Sang-Yeon Kim, Suk-Ju Hong, Eungchan Kim, et al.
Journal of Food Engineering (2022) Vol. 338, pp. 111254-111254
Open Access | Times Cited: 33
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
A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction
Prabhat Man Singh Basnet, Shakil Mahtab, Aibing Jin
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105434-105434
Closed Access | Times Cited: 19
Spatially adaptive machine learning models for predicting water quality in Hong Kong
Qiaoli Wang, Zijun Li, Jiannan Cai, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129649-129649
Closed Access | Times Cited: 18
A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability
Shan Lin, Zenglong Liang, Shuaixing Zhao, et al.
International Journal of Mechanics and Materials in Design (2023) Vol. 20, Iss. 2, pp. 331-352
Closed Access | Times Cited: 18
Bayesian optimization-enhanced ensemble learning for the uniaxial compressive strength prediction of natural rock and its application
Chukwuemeka Daniel, Xin Yin, Xing Huang, et al.
Geohazard Mechanics (2024) Vol. 2, Iss. 3, pp. 197-215
Open Access | Times Cited: 7
Hybrid deep learning-based identification of microseismic events in TBM tunnelling
Xin Yin, Quansheng Liu, Jinshan Lei, et al.
Measurement (2024) Vol. 238, pp. 115381-115381
Closed Access | Times Cited: 7
Intelligent prediction of rockburst based on Copula-MC oversampling architecture
Yiguo Xue, Guangkun Li, Zhiqiang Li, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 24
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