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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:

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: 45

Showing 1-25 of 45 citing articles:

Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
Wengang Zhang, Hongrui Li, Liang Han, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1089-1099
Open Access | Times Cited: 176
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: 65
Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: t-SNE, K-Means Clustering and XGBoost
Barkat Ullah, Muhammad Kamran, Yichao Rui
Mathematics (2022) Vol. 10, Iss. 3, pp. 449-449
Open Access | Times Cited: 65
Accident prediction in construction using hybrid wavelet-machine learning
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Automation in Construction (2021) Vol. 133, pp. 103987-103987
Closed Access | Times Cited: 59
Prediction of Mode-I rock fracture toughness using support vector regression with metaheuristic optimization algorithms
Arsalan Mahmoodzadeh, Hamid Reza Nejati, Mokhtar Mohammadi, et al.
Engineering Fracture Mechanics (2022) Vol. 264, pp. 108334-108334
Closed Access | Times Cited: 51
Identification of geological characteristics from construction parameters during shield tunnelling
Tao Yan, Shui‐Long Shen, Annan Zhou
Acta Geotechnica (2022) Vol. 18, Iss. 1, pp. 535-551
Open Access | Times Cited: 39
Use of machine learning for classification of sand particles
Linzhu Li, Magued Iskander
Acta Geotechnica (2022) Vol. 17, Iss. 10, pp. 4739-4759
Closed Access | Times Cited: 37
Comprehensive early warning method of microseismic, acoustic emission, and electromagnetic radiation signals of rock burst based on deep learning
Yangyang Di, Enyuan Wang, Zhonghui Li, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105519-105519
Closed Access | Times Cited: 37
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
Machine learning-based pedotransfer functions to predict soil water characteristics curves
Khanh Pham, Dongku Kim, Canh V. Le, et al.
Transportation Geotechnics (2023) Vol. 42, pp. 101052-101052
Closed Access | Times Cited: 17
Efficient Seismic Stability Analysis of Embankment Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms
Luqi Wang, Jiahao Wu, Wengang Zhang, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 39
Research and Application of an Intelligent Prediction of Rock Bursts Based on a Bayes-Optimized Convolutional Neural Network
Mingliang Li, Kegang Li, Qingci Qin, et al.
International Journal of Geomechanics (2023) Vol. 23, Iss. 5
Closed Access | Times Cited: 15
Identification method for microseismic, acoustic emission and electromagnetic radiation interference signals of rock burst based on deep neural networks
Yangyang Di, Enyuan Wang, Tao Huang
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105541-105541
Closed Access | Times Cited: 14
Rockburst Intensity Grade Prediction Based on Data Preprocessing Techniques and Multi-model Ensemble Learning Algorithms
Zhichao Jia, Yi Wang, Junhui Wang, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 7, pp. 5207-5227
Closed Access | Times Cited: 4
Application of extreme gradient boosting for predicting standard penetration test N-values from cone penetration test data
Xiao Han, Jiangtao Yi, Bin Li, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Closed Access
Hybrid machine learning approach for construction cost estimation: an evaluation of extreme gradient boosting model
Zainab Hasan Ali, Abbas M. Burhan
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2427-2442
Closed Access | Times Cited: 11
A Robust LightGBM Model for Concrete Tensile Strength Forecast to Aid in Resilience-based Structure Strategies
Chukwuemeka Daniel
Heliyon (2024) Vol. 10, Iss. 20, pp. e39679-e39679
Open Access | Times Cited: 3
Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier
Mahmood Ahmad, Herda Yati Binti Katman, Ramez A. Al-Mansob, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
ConvLSTM for Predicting Short-Term Spatiotemporal Distribution of Seismic Risk Induced by Large-Scale Coal Mining
Fan Chen, Zhengzhao Liang, Anye Cao
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 1459-1479
Closed Access | Times Cited: 9
Rockburst prevention by microwave destressing: a numerical investigation
Chun Yang, Keping Zhou, Quan Zhang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Stability Assessment of Open Spans in Underground Entry-Type Excavations by Focusing on Data Mining Methods
Mosareza Jalilian, Ebrahim Ghasemi, Mohammad Hossein Kadkhodaei
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 2, pp. 843-858
Closed Access | Times Cited: 3
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
A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area
Hongwei Sang, Ling Chang, Chuanjie Xi, et al.
Engineering Geology (2024) Vol. 337, pp. 107584-107584
Closed Access | Times Cited: 3
Failure behaviors of granitic rocks induced by point/local loads under biaxial compression stress state
Kun Du, Ruiyang Bi, Yu Sun, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4645-4669
Closed Access | Times Cited: 8
Predicting microseismic, acoustic emission and electromagnetic radiation data using neural networks
Yangyang Di, Enyuan Wang, Zhonghui Li, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 2, pp. 616-629
Open Access | Times Cited: 8
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