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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:

Toward a State-of-the-Art of Fly-Rock Prediction Technology in Open-Pit Mines Using EANNs Model
Hoang Nguyen, Xuan-Nam Bui, T. Nguyen‐Thoi, et al.
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4554-4554
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced Fly-Rock in Quarry Mines
Hoang Nguyen, Xuan-Nam Bui, Yosoon Choi, et al.
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 191-207
Closed Access | Times Cited: 95
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
Hoang Nguyen, Yosoon Choi, Xuan-Nam Bui, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 132-132
Open Access | Times Cited: 79
Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm
Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Resources Policy (2020) Vol. 66, pp. 101604-101604
Closed Access | Times Cited: 77
Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network
Bhatawdekar Ramesh Murlidhar, Hoang Nguyen, Jamal Rostami, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1413-1427
Open Access | Times Cited: 68
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Shahab Hosseini, Rashed Pourmirzaee, Danial Jahed Armaghani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 38
Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization
Xiliang Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Tunnelling and Underground Space Technology (2020) Vol. 103, pp. 103517-103517
Closed Access | Times Cited: 68
A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock
Bhatawdekar Ramesh Murlidhar, Deepak Kumar, Danial Jahed Armaghani, et al.
Natural Resources Research (2020) Vol. 29, Iss. 6, pp. 4103-4120
Closed Access | Times Cited: 64
Genetic algorithm hybridized with multilayer perceptron to have an economical slope stability design
Hong Wang, Hossein Moayedi, Loke Kok Foong
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3067-3078
Closed Access | Times Cited: 57
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm
Zhang Hong, Hoang Nguyen, Xuan-Nam Bui, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 3901-3914
Closed Access | Times Cited: 53
Comparative Study on Supervised Learning Models for Productivity Forecasting of Shale Reservoirs Based on a Data-Driven Approach
Dongkwon Han, Jihun Jung, Sunil Kwon
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1267-1267
Open Access | Times Cited: 52
Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression
Chuanqi Li, Jian Zhou, Kun Du, et al.
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2995-3023
Closed Access | Times Cited: 19
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
Improved Levenberg–Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams
Jue Zhao, Hoang Nguyen, T. Nguyen‐Thoi, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 3847-3869
Closed Access | Times Cited: 40
A Novel Artificial Intelligence Technique to Estimate the Gross Calorific Value of Coal Based on Meta-Heuristic and Support Vector Regression Algorithms
Bui Hoang Bac, Hoang Nguyen, Yosoon Choi, et al.
Applied Sciences (2019) Vol. 9, Iss. 22, pp. 4868-4868
Open Access | Times Cited: 41
Prediction and minimization of blast-induced flyrock using gene expression programming and cuckoo optimization algorithm
Hesam Dehghani, Mehran Pourzafar, Mostafa Asadi zadeh
Environmental Earth Sciences (2021) Vol. 80, Iss. 1
Closed Access | Times Cited: 26
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
Optimized Data-Driven Models for Prediction of Flyrock due to Blasting in Surface Mines
Xiaohua Ding, Mehdi Jamei, Mahdi Hasanipanah, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8424-8424
Open Access | Times Cited: 7
Digital Processing of Seismic Data from Open-Pit Mining Blasts
Natalia Koteleva, Ilia Frenkel
Applied Sciences (2021) Vol. 11, Iss. 1, pp. 383-383
Open Access | Times Cited: 16
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
Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches
Khabat Khosravi, Ali Golkarian, Ebrahim Omidvar, et al.
Acta Geophysica (2022) Vol. 71, Iss. 2, pp. 1015-1031
Closed Access | Times Cited: 10
A novel hybrid of ANFIS-based models using optimisation approaches to predict mine blast-induced flyrock
J. Ye, Xiaoli He
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 4, pp. 3673-3686
Closed Access | Times Cited: 9
Application of artificial intelligence techniques for predicting the flyrock, Sungun mine, Iran
Jamshid Shakeri, Marc Bascompta, Mohammadreza Alimoradijazi, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 8
Closed Access | Times Cited: 5
Applications of AI and ML Techniques to Predict Backbreak and Flyrock Distance Resulting from Blasting
Ramesh Murlidhar Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi
SpringerBriefs in applied sciences and technology (2021), pp. 41-59
Closed Access | Times Cited: 8
Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models
Quang‐Hieu Tran, Hoang Nguyen, Xuan-Nam Bui
Computer Modeling in Engineering & Sciences (2022) Vol. 134, Iss. 3, pp. 2227-2246
Open Access | Times Cited: 5
Application of Soft Computing Technique based on ANN Model Prediction in Diverse Area of Mining Blasting Operations
Joachim Osheyor Gidiagba, Lagouge K. Tartibu, Modestus O. Okwu
(2022), pp. 1-7
Closed Access | Times Cited: 4
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