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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:

Estimation of Ground Vibration Intensity Induced by Mine Blasting using a State-of-the-Art Hybrid Autoencoder Neural Network and Support Vector Regression Model
Bo Ke, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3853-3864
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting
Xiaohua Ding, Mahdi Hasanipanah, Dmitrii Vladimirovich Ulrikh
Natural Resources Research (2024) Vol. 33, Iss. 3, pp. 1349-1363
Closed Access | Times Cited: 11
Dynamic mechanism triggering the Catastrophic Xinjing Landslide in Alxa, Inner Mongolia, China
Fangpeng Cui, Chen Xiong, Qiang Wu, et al.
Engineering Geology (2025), pp. 107911-107911
Closed Access | Times Cited: 1
Review of machine learning application in mine blasting
Ahmed Abd Elwahab, Erkan Topal, Hyongdoo Jang
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 2
Open Access | Times Cited: 18
Optimization of blasting parameters and prediction of vibration effects in open pit mines based on deep neural networks
Runcai Bai, Pengfei Zhang, Zhiqiang Zhang, et al.
Alexandria Engineering Journal (2023) Vol. 70, pp. 261-271
Open Access | Times Cited: 15
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization
Li Shang, Hoang Nguyen, Xuan-Nam Bui, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1295-1314
Closed Access | Times Cited: 28
Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm
Hui Li, Weizhong Chen, Tan Xuyan, et al.
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105099-105099
Closed Access | Times Cited: 13
Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms
Ziguang He, Hoang Nguyen, Thai Ha Vu, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1257-1272
Closed Access | Times Cited: 26
Assessing Ground Vibration Caused by Rock Blasting in Surface Mines Using Machine-Learning Approaches: A Comparison of CART, SVR and MARS
Gbétoglo Charles Komadja, Aditya Rana, Luc Adissin Glodji, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 11060-11060
Open Access | Times Cited: 17
A systematic survey of hybrid ML techniques for predicting peak particle velocity (PPV) in open-cast mine blasting operations
Gundaveni Shylaja, Prashanth Ragam
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural networks
Hoang Nguyen, Xuan-Nam Bui, Erkan Topal
International Journal of Coal Geology (2023) Vol. 275, pp. 104294-104294
Closed Access | Times Cited: 9
Estimation of tunnel axial orientation in the interlayered rock mass using a comprehensive algorithm
Hui Li, Weizhong Chen, Xianjun Tan
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 7, pp. 2579-2590
Open Access | Times Cited: 3
Displacement-based back analysis of mitigating the effects of displacement loss in underground engineering
Hui Li, Weizhong Chen, Xianjun Tan
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 10, pp. 2626-2638
Open Access | Times Cited: 8
Exploring the relation between production factors, ore grades, and life of mine for forecasting mining capital cost through a novel cascade forward neural network-based salp swarm optimization model
Xiaolei Zheng, Hoang Nguyen, Xuan-Nam Bui
Resources Policy (2021) Vol. 74, pp. 102300-102300
Closed Access | Times Cited: 15
Prediction of underground metro train-induced ground vibration using hybrid PSO-ANN approach
Naveen Kumar Kedia, Anil Kumar, Yogendra Singh
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8171-8195
Closed Access | Times Cited: 11
Predicting different components of blast-induced ground vibration using earthworm optimisation-based adaptive neuro-fuzzy inference system
Hoang Nguyen, Yosoon Choi, Masoud Monjezi, et al.
International Journal of Mining Reclamation and Environment (2023) Vol. 38, Iss. 2, pp. 99-126
Closed Access | Times Cited: 6
A comprehensive survey on machine learning applications for drilling and blasting in surface mining
V. S. K. R. Munagala, Srikanth Thudumu, Irini Logothetis, et al.
Machine Learning with Applications (2023) Vol. 15, pp. 100517-100517
Open Access | Times Cited: 6
Study on the stability of high and steep slopes under deep bench blasting vibration in open-pit mines
Hengyu Su, Shu Ma
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 10
Extra Trees Ensemble: A Machine Learning Model for Predicting Blast-Induced Ground Vibration Based on the Bagging and Sibling of Random Forest Algorithm
Xuan-Nam Bui, Hoang Nguyen, Phonepaserth Soukhanouvong
Lecture notes in civil engineering (2022), pp. 643-652
Closed Access | Times Cited: 8
Prediction of Blast Vibration Velocity of Buried Steel Pipe Based on PSO-LSSVM Model
Hongyu Zhang, Shengwu Tu, Senlin Nie, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7437-7437
Open Access | Times Cited: 1
Enhancing Mine Blasting Safety: Developing Intelligent Systems for Accurate Flyrock Prediction through Optimized Group Method of Data Handling Methods
Xiaohua Ding, Mahdi Hasanipanah, Masoud Monjezi, et al.
Natural Resources Research (2024)
Closed Access | Times Cited: 1
Evaluation and Prediction of Blast-Induced Ground Vibration Using Gaussian Process Regression at Saindak Copper–Gold Open Pit Mine, Pakistan
Sami Ullah, Gaofeng Ren, Yongxiang Ge, et al.
Mining Metallurgy & Exploration (2024)
Closed Access | Times Cited: 1
A study on environmental issues of blasting using advanced support vector machine algorithms
L. Chen, Danial Jahed Armaghani, P. Fakharuab, et al.
International Journal of Environmental Science and Technology (2022) Vol. 19, Iss. 7, pp. 6221-6240
Open Access | Times Cited: 6
Prediction method of particle size qualification rate of high-pressure roller mill based on end-edge-cloud synergy
Hairong Guo, Mingyin Yan, Jing Zhao, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2151-e2151
Open Access
Study of peak velocity of blasting vibration for raft foundation demolition based on MEA-BP algorithm
Haojie Wang, Shi-quan Li, Shuai Zhen, et al.
AIP Advances (2024) Vol. 14, Iss. 8
Open Access
Evaluating Productivity in Opencast Mines: A Machine Learning Analysis of Drill-Blast and Surface Miner Operations
Geleta Warkisa Deressa, Bhanwar Singh Choudhary
Natural Resources Research (2024)
Closed Access
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