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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:

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET
Hongquan Guo, Hoang Nguyen, Xuan-Nam Bui, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 421-435
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms
Ziwei Ding, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 751-769
Closed Access | Times Cited: 95
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
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
Danial Jahed Armaghani, Hooman Harandizadeh, Ehsan Momeni, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2313-2350
Closed Access | Times Cited: 89
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
An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines
Shahab Hosseini, Rashed Poormirzaee, Mohsen Hajihassani, et al.
Rock Mechanics and Rock Engineering (2022) Vol. 55, Iss. 7, pp. 4373-4390
Open Access | Times Cited: 42
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
Ensemble machine learning models for prediction of flyrock due to quarry blasting
Mohammad Sadegh Barkhordari, Danial Jahed Armaghani, Pouyan Fakharian
International Journal of Environmental Science and Technology (2022) Vol. 19, Iss. 9, pp. 8661-8676
Closed Access | Times Cited: 38
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
Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques
Mingxiang Cai, Mohammadreza Koopialipoor, Danial Jahed Armaghani, et al.
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1486-1486
Open Access | Times Cited: 43
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
Optimized Support Vector Machines Combined with Evolutionary Random Forest for Prediction of Back-Break Caused by Blasting Operation
Qun Yu, Masoud Monjezi, Ahmed Salih Mohammed, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12797-12797
Open Access | Times Cited: 35
Rock mass classification prediction model using heuristic algorithms and support vector machines: a case study of Chambishi copper mine
Jianhua Hu, Tan Zhou, Shaowei Ma, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
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
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
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
Intelligence Prediction of Some Selected Environmental Issues of Blasting: A Review
Bhatawdekar Ramesh Murlidhar, Danial Jahed Armaghani, Edy Tonnizam Mohamad
The Open Construction and Building Technology Journal (2020) Vol. 14, Iss. 1, pp. 298-308
Open Access | Times Cited: 30
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
Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods
Yosoon Choi, Hoang Nguyen, Xuan-Nam Bui, et al.
Resources Policy (2021) Vol. 75, pp. 102522-102522
Closed Access | Times Cited: 24
Securing IoT-Empowered Fog Computing Systems: Machine Learning Perspective
Tariq Ahamed Ahanger, Usman Tariq, Atef Ibrahim, et al.
Mathematics (2022) Vol. 10, Iss. 8, pp. 1298-1298
Open Access | Times Cited: 18
Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access
Rapid Determination of Gross Calorific Value of Coal Using Artificial Neural Network and Particle Swarm Optimization
Hoang Nguyen, Bui Hoang Bac, Xuan-Nam Bui
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 621-638
Closed Access | Times Cited: 27
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Different Nature-Inspired Optimization Algorithms and Deep Neural Network
Hoang Nguyen, Xuan-Nam Bui, Quang‐Hieu Tran, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 4695-4717
Closed Access | Times Cited: 22
Elite-driven surrogate-assisted CMA-ES algorithm by improved lower confidence bound method
Zengcong Li, Tianhe Gao, Kuo Tian, et al.
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2543-2563
Closed Access | Times Cited: 16
Highly sensitive and selective laser-based BTEX sensor for occupational and environmental monitoring
Mhanna Mhanna, Mohamed Sy, Ayman Arfaj, et al.
Applied Optics (2024) Vol. 63, Iss. 11, pp. 2892-2892
Closed Access | Times Cited: 3
Comparative study of five machine learning algorithms on prediction of the height of the water-conducting fractured zone in undersea mining
Zhengyu Wu, Ying Chen, Dayou Luo
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
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