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Author

Shahab Hosseini

Observed name: S. H. Hosseini
ORCID: 0000-0001-6101-2484
Observed ORCID: 0000-0001-6101-2484
OpenAlex ID: A5071706404
Assessment of the ground vibration during blasting in mining projects using different computational approaches
2023 · Shahab Hosseini, Jitendra Khatti, et al. · Scientific Reports · 112
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Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
2023 · Shahab Hosseini, Rashed Pourmirzaee, et al. · Scientific Reports · 72
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Green blasting policy: Simultaneous forecast of vertical and horizontal distribution of dust emissions using artificial causality-weighted neural network
2020 · Ezzeddin Bakhtavar, Shahab Hosseini, et al. · Journal of Cleaner Production · 69
Air Pollution Risk Assessment Using a Hybrid Fuzzy Intelligent Probability-Based Approach: Mine Blasting Dust Impacts
2021 · Ezzeddin Bakhtavar, Shahab Hosseini, et al. · Natural Resources Research · 65
Decision tree models for the estimation of geo-polymer concrete compressive strength
2023 · Ji Zhou, Zhanlin Su, et al. · Mathematical Biosciences & Engineering · 62
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An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines
2022 · Shahab Hosseini, Rashed Poormirzaee, et al. · Rock Mechanics and Rock Engineering · 61
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Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines
2022 · Izhar Mithal Jiskani, Fatma Yasli, et al. · Resources Policy · 60
Mining 4.0 and climate neutrality: A unified and reliable decision system for safe, intelligent, and green & climate-smart mining
2023 · Izhar Mithal Jiskani, Wei Zhou, et al. · Journal of Cleaner Production · 56
Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
2022 · Shahab Hosseini, Rashed Poormirzaee, et al. · Engineering Applications of Artificial Intelligence · 56
Prediction of Dust Emission Due to Open Pit Mine Blasting Using a Hybrid Artificial Neural Network
2021 · Shahab Hosseini, Masoud Monjezi, et al. · Natural Resources Research · 55
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
2022 · Shahab Hosseini, Amin Mousavi, et al. · Resources Policy · 48
An uncertainty hybrid model for risk assessment and prediction of blast-induced rock mass fragmentation
2022 · Shahab Hosseini, Rashed Poormirzaee, et al. · International Journal of Rock Mechanics and Mining Sciences · 46
Super learner ensemble model: A novel approach for predicting monthly copper price in future
2023 · Jue Zhao, Shahab Hosseini, et al. · Resources Policy · 43
Smart mining policy: Integrating fuzzy-VIKOR technique and the Z-number concept to implement industry 4.0 strategies in mining engineering
2022 · Rashed Poormirzaee, Shahab Hosseini, et al. · Resources Policy · 43
Data-Driven Optimized Artificial Neural Network Technique for Prediction of Flyrock Induced by Boulder Blasting
2023 · Xianan Wang, Shahab Hosseini, et al. · Mathematics · 41
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Minimization of blast-induced dust emission using gene-expression programming and grasshopper optimization algorithm: a smart mining solution based on blasting plan optimization
2022 · Shahab Hosseini, Masoud Monjezi, et al. · Clean Technologies and Environmental Policy · 40
Prediction of blast-induced dust emissions in surface mines using integration of dimensional analysis and multivariate regression analysis
2022 · Shahab Hosseini, Amin Mousavi, et al. · Arabian Journal of Geosciences · 36
ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
2023 · Qiang Wang, Jiali Qi, et al. · Buildings · 35
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Green policy for managing blasting induced dust dispersion in open-pit mines using probability-based deep learning algorithm
2023 · Shahab Hosseini, Rashed Pourmirzaee · Expert Systems with Applications · 31
Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites
2024 · Feng Bin, Shahab Hosseini, et al. · Infrastructures · 30
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Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
2024 · Shahab Hosseini, Shima Entezam, et al. · Neural Computing and Applications · 29
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Fuzzy Cognitive Map for Evaluating Critical Factors Causing Rockbursts in Underground Construction: A Fundamental Study
2024 · Shahab Hosseini, Danial Jahed Armaghani, et al. · Rock Mechanics and Rock Engineering · 27
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Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations
2025 · Hongchao Li, Shahab Hosseini, et al. · Artificial Intelligence Review · 26
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Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
2024 · Moses Olabhele Esangbedo, Blessing Olamide Taiwo, et al. · Resources Policy · 26
Decision Intelligence-Based Predictive Modelling of Hard Rock Pillar Stability Using K-Nearest Neighbour Coupled with Grey Wolf Optimization Algorithm
2024 · Muhammad Kamran, Waseem Chaudhry, et al. · Processes · 26
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Works count: 59
Citation count: 1,520
H-index: 26
I10-index: 40
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