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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:

Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques
Farhang Sadeghi, Masoud Monjezi, Danial Jahed Armaghani
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 887-903
Closed Access | Times Cited: 22

Showing 22 citing articles:

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA
Hooman Harandizadeh, Danial Jahed Armaghani
Applied Soft Computing (2020) Vol. 99, pp. 106904-106904
Closed Access | Times Cited: 73
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Shahab Hosseini, Rashed Pourmirzaee, Danial Jahed Armaghani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 38
Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques
Esma Kahraman, Shahab Hosseini, Blessing Olamide Taiwo, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 75-88
Open Access | Times Cited: 12
Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment of blast-induced rock size distribution
Zhe Zhang, Shahab Hosseini, Masoud Monjezi, et al.
International Journal of Rock Mechanics and Mining Sciences (2024) Vol. 178, pp. 105779-105779
Closed Access | Times Cited: 11
A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock
Bhatawdekar Ramesh Murlidhar, Deepak Kumar, Danial Jahed Armaghani, et al.
Natural Resources Research (2020) Vol. 29, Iss. 6, pp. 4103-4120
Closed Access | Times Cited: 64
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
Prediction into the future: A novel intelligent approach for PM2.5 forecasting in the ambient air of open-pit mining
Xiang Lü, Wei Zhou, Chongchong Qi, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 6, pp. 101084-101084
Closed Access | Times Cited: 28
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
A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting
Ziguang He, Danial Jahed Armaghani, Mojtaba Masoumnezhad, et al.
Natural Resources Research (2020) Vol. 30, Iss. 2, pp. 1889-1903
Open Access | Times Cited: 27
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 on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process
Víctor Flores, Claudio Leiva
Sensors (2021) Vol. 21, Iss. 6, pp. 2119-2119
Open Access | Times Cited: 13
Prediction and optimization of flyrock and oversize boulder induced by mine blasting using artificial intelligence techniques
Atousa Zangoei, Masoud Monjezi, Danial Jahed Armaghani, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 13
Closed Access | Times Cited: 9
Using CFD to Simulate the Concentration of Polluting and Harmful Gases in the Roadway of Non-Metallic Mines Reveals Its Migration Law
Chengyu Xie, Guanpeng Xiong, Ziwei Chen
Sustainability (2022) Vol. 14, Iss. 20, pp. 13349-13349
Open Access | Times Cited: 9
Enhancing Rock Fragmentation in Mining: Leveraging Ensemble Classification Machine Learning Algorithms for Blast Toe Volume Assessment
Blessing Olamide Taiwo, B. Adebayo, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 1
WITHDRAWN: Test case minimization for regression testing by analyzing software performance using the novel method
U. Sivaji, P. Srinivasa Rao
Materials Today Proceedings (2021)
Closed Access | Times Cited: 7
An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques
Vineeth Balakrishnan, Piyush Rai
Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi (2021) Vol. 2, Iss. 2, pp. 105-119
Open Access | Times Cited: 6
An Assessment of Drilling and Blasting Techniques at Granite Quarry of AFDIN Construction Company Limited, Katsina State, Nigeria
Adamu Bala
International Journal of Environment and Geoinformatics (2021) Vol. 8, Iss. 4, pp. 450-459
Open Access | Times Cited: 4
Blast Toes Volume Estimation for Post-Blast Efficiency: A Comparative Analysis of hybrid ensemble learning, voting, and base AI-algorithms
Esma Kahraman, Blessing Olamide Taiwo, Shahab Hosseini, et al.
Research Square (Research Square) (2024)
Open Access
A Comparative Study on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process
Víctor Flores, Claudio Leiva
(2021)
Open Access | Times Cited: 1
Mô phỏng hiện tượng đá bay trong quá trình nổ mìn khai thác mỏ bằng phương pháp động lực hạt mịn (SPH) trên phần mềm LS–Dyna, lấy ví dụ từ mỏ đá vôi Mông Sơn (Yên Bái)
Trần Đình Bão, Đỗ Văn Triều, Nguyễn Đình An, et al.
Journal of Hydro-meteorology (2023) Vol. 6, Iss. 750, pp. 66-78
Open Access
Symulacja na odłamkach skalnych powstałych w wyniku odstrzału z wykorzystaniem hydrodynamiki cząstek wygładzonych (SPH) z oprogramowaniem LS-Dyna
Bao Tran DINH, Trieu Do VAN, Van Viet PHAM, et al.
Inżynieria Mineralna (2023) Vol. 1, Iss. 2 (52)
Open Access
A Comparative Study between Empirical and Soft Computing Technique for Prediction of Ground Vibration Due to Tunnel Blasting
guoquan xu, Xinyu Wang
SSRN Electronic Journal (2022)
Closed Access
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