OpenAlex Citation Counts

OpenAlex Citations Logo

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 Blast-Induced Air Overpressure in Quarry Mines Using Cubist-Based Genetic Algorithm
Qiancheng Fang, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 593-607
Closed Access | Times Cited: 23

Showing 23 citing articles:

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

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

Forecasting monthly copper price: A comparative study of various machine learning-based methods
Hong Zhang, Hoang Nguyen, Diep-Anh Vu, et al.
Resources Policy (2021) Vol. 73, pp. 102189-102189
Closed Access | Times Cited: 43

Developing Two Hybrid Algorithms for Predicting the Elastic Modulus of Intact Rocks
Yuzhen Wang, Mohammad Rezaei, Rini Asnida Abdullah, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4230-4230
Open Access | Times Cited: 19

Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms
Hadi Fattahi, Mahdi Hasanipanah
Natural Resources Research (2020) Vol. 30, Iss. 2, pp. 1849-1863
Closed Access | Times Cited: 48

Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Resources Policy (2021) Vol. 73, pp. 102195-102195
Closed Access | Times Cited: 37

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 of blasting induced air-overpressure using a radial basis function network with an additional hidden layer
Ruixuan Zhang, Yuefeng Li, Yilin Gui, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109343-109343
Open Access | Times Cited: 22

Prediction of Rock Size Distribution in Mine Bench Blasting Using a Novel Ant Colony Optimization-Based Boosted Regression Tree Technique
Shike Zhang, Xuan-Nam Bui, T. Nguyen‐Thoi, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 867-886
Closed Access | Times Cited: 34

Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine
Mohammad Mirzehi, Zohreh Nabavi, Manoj Khandelwal
AIMS Geosciences (2023) Vol. 9, Iss. 2, pp. 357-381
Open Access | Times Cited: 10

Optimal design of tilt integral derivative controller for a boost converter based on swarm-inspired algorithms
Adnan Mukhtar, Pyare Mohan Tiwari, Saud Alotaibi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A novel solution for simulating air overpressure resulting from blasting using an efficient cascaded forward neural network
Jie Zeng, Mehdi Jamei, Menad Nait Amar, et al.
Engineering With Computers (2021) Vol. 38, Iss. S3, pp. 2069-2081
Closed Access | Times Cited: 23

Prediction of rock blasting induced air overpressure using a self-adaptive weighted kernel ridge regression
Ruixuan Zhang, Yuefeng Li, Yilin Gui
Applied Soft Computing (2023) Vol. 148, pp. 110851-110851
Open Access | Times Cited: 7

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

Energy Consumption and Fume Analysis: A Comparative Analysis of the Blasting Technique and Mechanical Excavation in a Polish Gypsum Open-Pit Mine
Andrzej Biessikirski, Przemysław Bodziony, Michał Dworzak
Energies (2024) Vol. 17, Iss. 22, pp. 5662-5662
Open Access | Times Cited: 2

Advanced Analytics for Rock Blasting and Explosives Engineering in Mining
Jorge Luiz Valença Mariz, Ali Soofastaei
Springer eBooks (2022), pp. 363-477
Closed Access | Times Cited: 3

Utilizing a Novel Artificial Neural Network-Based Meta-heuristic Algorithm to Predict the Dust Concentration in Deo Nai Open-Pit Coal Mine (Vietnam)
Xuan-Nam Bui, Hoang Nguyen, Carsten Drebenstedt, et al.
Lecture notes in civil engineering (2020), pp. 203-223
Closed Access | Times Cited: 3

Estimation of dam piezometric water level using new hybrid intelligent models for dam safety assessment
Yao Yevenyo Ziggah, Yakubu Issaka
International Journal of Energy and Water Resources (2023)
Closed Access

Forecasting PM<sub>2.5</sub> emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms
Xuan-Nam Bui, Hoang Nguyen, Qui-Thao Le, et al.
Gornye nauki i tekhnologii = Mining Science and Technology (Russia) (2022) Vol. 7, Iss. 2, pp. 111-125
Open Access

Page 1

Scroll to top