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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:

Deep Neural Network for Predicting Ore Production by Truck-Haulage Systems in Open-Pit Mines
Jieun Baek, Yosoon Choi
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1657-1657
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

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: 85
Prediction of the corrosion depth of oil well cement corroded by carbon dioxide using GA-BP neural network
Rongyao Chen, Jianjian Song, Mingbiao Xu, et al.
Construction and Building Materials (2023) Vol. 394, pp. 132127-132127
Closed Access | Times Cited: 30
Investigation in optimization of process parameters in turning of mild steel using response surface methodology and modified deep neural network
Thangavel Palaniappan, Prakasam Subramaniam
Materials Today Communications (2024) Vol. 38, pp. 108425-108425
Closed Access | Times Cited: 7
Geothermal reservoir temperature prediction using hydrogeochemical data of Northern Morocco: A machine learning approach
Fatima Zahra Haffou, Lalla Amina Ouzzaouit, Abdelmounim Qarbous, et al.
Geothermics (2025) Vol. 127, pp. 103259-103259
Closed Access | Times Cited: 1
Comparative Evaluation of AI-Based Techniques for Zero-Day Attacks Detection
Shamshair Ali, Saif Ur Rehman, Azhar Imran, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3934-3934
Open Access | Times Cited: 34
A review of machine learning applications for underground mine planning and scheduling
Prosper Chimunhu, Erkan Topal, Ajak Duany Ajak, et al.
Resources Policy (2022) Vol. 77, pp. 102693-102693
Closed Access | Times Cited: 32
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: 17
Minimization of CO2 Emissions in Openpit Mines by Using Stochastic Simulations
D. Biniaris, George Xiroudakis, George Saratsis, et al.
Circular Economy and Sustainability (2025)
Open Access
Shuffled Shepherd Deer Hunting Optimization based Deep Neural Network for Breast Cancer Classification using Breast Histopathology Images
Pramod B. Deshmukh, Kanchan Lata Kashyap
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104570-104570
Closed Access | Times Cited: 13
Radiological characterization of the tailings of an abandoned copper mine using a neural network and geostatistical analysis through the Co-Kriging method
V.M. Expósito-Suárez, J.A. Suárez-Navarro, Audrey Caro, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 8
Open Access | Times Cited: 4
Optical sorting: past, present and future
Meng Yang, Yuzhi Shi, Qinghua Song, et al.
Light Science & Applications (2025) Vol. 14, Iss. 1
Open Access
Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines
Chengkai Fan, Na Zhang, Bei Jiang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 3, pp. 727-740
Open Access | Times Cited: 11
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
Optimum Fleet Selection Using Machine Learning Algorithms—Case Study: Zenouz Kaolin Mine
Pouya Nobahar, Yashar Pourrahimian, Fereidoun Mollaei Koshki
Mining (2022) Vol. 2, Iss. 3, pp. 528-541
Open Access | Times Cited: 14
Review of deep learning approaches in solving rock fragmentation problems
Mikhail Ronkin, Elena N. Akimova, Vladimir E. Misilov
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 23900-23940
Open Access | Times Cited: 8
Estimating Ore Production in Open-pit Mines Using Various Machine Learning Algorithms Based on a Truck-Haulage System and Support of Internet of Things
Yosoon Choi, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2020) Vol. 30, Iss. 2, pp. 1141-1173
Closed Access | Times Cited: 21
Underground mine planning and scheduling optimization: Opportunities for embracing machine learning augmented capabilities
Prosper Chimunhu, Erkan Topal, Ajak Duany Ajak, et al.
Elsevier eBooks (2024), pp. 183-195
Closed Access | Times Cited: 2
Deep Neural Network Models for Improving Truck Productivity Prediction in Open-pit Mines
Ömer Faruk Uğurlu, Chengkai Fan, Bei Jiang, et al.
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 2, pp. 619-636
Closed Access | Times Cited: 2
Predicting open-pit mine production using machine learning techniques
Faustin Nartey Kumah, Alex Kwasi Saim, Millicent Nkrumah Oppong, et al.
Journal of Sustainable Mining (2024) Vol. 23, Iss. 2, pp. 118-131
Open Access | Times Cited: 2
Stochastic Predictions of Ore Production in an Underground Limestone Mine Using Different Probability Density Functions: A Comparative Study Using Big Data from ICT System
Dahee Jung, Jieun Baek, Yosoon Choi
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4301-4301
Open Access | Times Cited: 14
Prediction of Ore Production in a Limestone Underground Mine by Combining Machine Learning and Discrete Event Simulation Techniques
Sebeom Park, Dahee Jung, Yosoon Choi
Minerals (2023) Vol. 13, Iss. 6, pp. 830-830
Open Access | Times Cited: 5
Preprocessing Large Datasets Using Gaussian Mixture Modelling to Improve Prediction Accuracy of Truck Productivity at Mine Sites
Chengkai Fan, Nong Zhang, Bei Jiang, et al.
Archives of Mining Sciences (2023)
Closed Access | Times Cited: 5
Improving productivity in mining operations: a deep reinforcement learning model for effective material supply and equipment management
T. Villegas, Segundo Francisco Segura Altamirano, Diana Mercedes Castro Cárdenas, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 9, pp. 4523-4535
Closed Access | Times Cited: 1
Wearable Device With Speech and Voice Recognition for Hearing-Impaired People
Marwa M. Tharwat, Yasmin Wardak, Shumokh Balbaid, et al.
(2024), pp. 221-226
Closed Access | Times Cited: 1
A novel attention-based long short term memory and fully connected neutral network approach for production energy consumption prediction under complex working conditions
Yanfang Yang, JuJian Gao, Jinhua Xiao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108418-108418
Closed Access | Times Cited: 1
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