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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:

Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach
Hongquan Guo, Hoang Nguyen, Diep-Anh Vu, et al.
Resources Policy (2019) Vol. 74, pp. 101474-101474
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Application of artificial neural networks to predict the heavy metal contamination in the Bartin River
Handan Ucun Özel, Betül Tuba Gemici, Ercan GEMİCİ, et al.
Environmental Science and Pollution Research (2020) Vol. 27, Iss. 34, pp. 42495-42512
Closed Access | Times Cited: 159
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
Systematic Review of Machine Learning Applications in Mining: Exploration, Exploitation, and Reclamation
Dahee Jung, Yosoon Choi
Minerals (2021) Vol. 11, Iss. 2, pp. 148-148
Open Access | Times Cited: 87
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
A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning
Roberto Noriega, Yashar Pourrahimian
Resources Policy (2022) Vol. 77, pp. 102727-102727
Closed Access | Times Cited: 39
Deployment of an intelligent and secure cattle health monitoring system
Jehangir Arshad, Talha Ahmad Siddiqui, M. Ismail Sheikh, et al.
Egyptian Informatics Journal (2023) Vol. 24, Iss. 2, pp. 265-275
Open Access | Times Cited: 26
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
Advances in Blast-Induced Impact Prediction—A Review of Machine Learning Applications
Nelson Kofi Dumakor-Dupey, Sampurna Arya, Ankit Jha
Minerals (2021) Vol. 11, Iss. 6, pp. 601-601
Open Access | Times Cited: 43
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
Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach
Shahab Hosseini, Amin Mousavi, Masoud Monjezi, et al.
Resources Policy (2022) Vol. 79, pp. 103087-103087
Closed Access | Times Cited: 30
Deep learning implementations in mining applications: a compact critical review
Faris Azhari, Charlotte Sennersten, Craig A. Lindley, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14367-14402
Open Access | Times Cited: 21
A comprehensive interdisciplinary review of mine supply chain management
Lanyan Zeng, Shi Qiang Liu, Erhan Kozan, et al.
Resources Policy (2021) Vol. 74, pp. 102274-102274
Open Access | Times Cited: 39
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 intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
Xiaolei Zheng, Hoang Nguyen
Chemosphere (2021) Vol. 287, pp. 132251-132251
Closed Access | Times Cited: 33
Prediction of Blast-Induced Ground Vibration Intensity in Open-Pit Mines Using Unmanned Aerial Vehicle and a Novel Intelligence System
Xuan-Nam Bui, Yosoon Choi, Victor Atrushkevich, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 771-790
Closed Access | Times Cited: 37
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
Sustainable Open Pit Mining and Technical Systems: Concept, Principles, and Indicators
Aleksandr Rakhmangulov, Konstantin Burmistrov, Nikita Osintsev
Sustainability (2021) Vol. 13, Iss. 3, pp. 1101-1101
Open Access | Times Cited: 24
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
Resource, environmental and economics research for primary and secondary copper: A bibliometric and systematic review
Ziyao An, Jingjing Yan, Haizhong An, et al.
Journal of Cleaner Production (2023) Vol. 425, pp. 138671-138671
Closed Access | Times Cited: 10
Deep Reinforcement Learning for automated scheduling of mining earthwork equipment with spatio-temporal safety constraints
Yanan Lu, Ke You, Yuxiang Wang, et al.
Frontiers of Engineering Management (2025)
Closed Access
Distribution of Operating Costs Along the Value Chain of an Open-Pit Copper Mine
Hervé Losaladjome Mboyo, Bingjie Huo, François K. Mulenga, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1602-1602
Open Access
A novel graph convolutional neural network model for predicting soil Cd and As pollution: Identification of influencing factors and interpretability
Renjie Zhang, Xionghui Ji, Yunhe Xie, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 292, pp. 117926-117926
Open Access
Interconnected Industry 4.0 technologies: identifying current network value and integration opportunities
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, et al.
Journal of Industrial Information Integration (2025), pp. 100838-100838
Open Access
Advancement of Artificial Intelligence in Cost Estimation for Project Management Success: A Systematic Review of Machine Learning, Deep Learning, Regression, and Hybrid Models
Md. Shamim, Abu Bakar Abdul Hamid, Tadiwa Elisha Nyamasvisva, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2025) Vol. 6, Iss. 2, pp. 35-35
Open Access
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