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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:

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

Showing 18 citing articles:

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
Jian Zhou, Yulin Zhang, Yingui Qiu
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 23
Advancements in machine learning techniques for coal and gas outburst prediction in underground mines
Angelina Anani, Sefiu O. Adewuyi, Nathalie Risso, et al.
International Journal of Coal Geology (2024) Vol. 285, pp. 104471-104471
Closed Access | Times Cited: 20
Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview
Peter Kolapo, Nafiu Olanrewaju Ogunsola, Kayode Komolafe, et al.
Mining (2025) Vol. 5, Iss. 1, pp. 5-5
Open Access | Times Cited: 1
Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools
N. Sri Chandrahas, Yewuhalashet Fissha, Bhanwar Singh Choudhary, et al.
International Journal of Mining Reclamation and Environment (2024) Vol. 38, Iss. 8, pp. 642-676
Closed Access | Times Cited: 8
Enhancing rock fragmentation assessment in mine blasting through machine learning algorithms: a practical approach
Angesom Gebretsadik, Rahul Kumar, Yewuhalashet Fissha, et al.
Deleted Journal (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 7
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 7
Optimization of blasting patterns in Esfordi phosphate mine using hybrid analysis of data envelopment analysis and multi-criteria decision making
Amir Khademian
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108061-108061
Closed Access | Times Cited: 6
Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach
Blessing Olamide Taiwo, Yewuhalashet Fissha, Shahab Hosseini, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
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 AI Model for Accurate Classification of Squeezing in Underground Structures
Hadi Fattahi, Ehsan Mohtarami
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access
Deep Learning and Explainable AI Based Blast Wave Pressure Prediction in IoV Applications
Mahmood Hussain Mir, J. Cruz Antony, Sulaiman Syed Mohamed, et al.
Procedia Computer Science (2025) Vol. 252, pp. 270-278
Open Access
Utilising Bayesian and Ensemble Methods for Dynamic Underground Overbreak and Underbreak Prediction with In-Depth Feature Importance Analysis
Sina Taheri, Roohollah Shirani Faradonbeh, Erkan Topal, et al.
(2025)
Closed Access
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
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
A Comparative Study of Two Tree-Based Models for Predicting Flyrock Velocity at Open Pit Bench Mining
Ezatullah Rawnaq, Bassir Esmatyar, Akihiro Hamanaka, et al.
Open Journal of Applied Sciences (2024) Vol. 14, Iss. 02, pp. 267-287
Open Access | Times Cited: 1
Safe small scale mine blasting operation: An application of soft computing techniques to predict blast-induced flyrock distance
Blessing Olamide Taiwo, Shahab Hosseini, Yewuhalashet Fissha, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Application and Challenges of Machine Learning Techniques in Mining Engineering and Material Science
Vidyasagar Shetty, B. Shabari Shedthi, C. Shashishekar
Journal of Mines Metals and Fuels (2023), pp. 1989-2000
Open Access | Times Cited: 1
Analysis of the Influence of Surrounding Rock State on Working Performance of Cutting Head in Metal Mining
Weipeng Xu, Lirong Wan, Kuidong Gao, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 340-340
Open Access
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