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:

Prediction of blast-induced dust emissions in surface mines using integration of dimensional analysis and multivariate regression analysis
Shahab Hosseini, Amin Mousavi, Masoud Monjezi
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 2
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Prediction of Compressive Strength of Geopolymer Concrete Landscape Design: Application of the Novel Hybrid RF–GWO–XGBoost Algorithm
Jun Zhang, Ranran Wang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 591-591
Open Access | Times Cited: 21

Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations
Hongchao Li, Shahab Hosseini, Behrouz Gordan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1

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: 35

Super learner ensemble model: A novel approach for predicting monthly copper price in future
Jue Zhao, Shahab Hosseini, Qinyang Chen, et al.
Resources Policy (2023) Vol. 85, pp. 103903-103903
Closed Access | Times Cited: 25

Decision tree models for the estimation of geo-polymer concrete compressive strength
Ji Zhou, Zhanlin Su, Shahab Hosseini, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1413-1444
Open Access | Times Cited: 25

Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Shahab Hosseini, Shima Entezam, Behshad Jodeiri Shokri, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18387-18412
Open Access | Times Cited: 9

Predicting axial-bearing capacity of fully grouted rock bolting systems by applying an ensemble system
Shahab Hosseini, Behshad Jodeiri Shokri, Ali Mirzaghorbanali, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10491-10518
Open Access | Times Cited: 7

Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
Shahab Hosseini, Rashed Poormirzaee, Mohsen Hajihassani
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105281-105281
Closed Access | Times Cited: 34

Minimization of blast-induced dust emission using gene-expression programming and grasshopper optimization algorithm: a smart mining solution based on blasting plan optimization
Shahab Hosseini, Masoud Monjezi, Ezzeddin Bakhtavar
Clean Technologies and Environmental Policy (2022) Vol. 24, Iss. 8, pp. 2313-2328
Closed Access | Times Cited: 31

A reliability-based rock engineering system for clean blasting: risk analysis and dust emissions forecasting
Shahab Hosseini, Rashed Poormirzaee, Seyyed-Omid Gilani, et al.
Clean Technologies and Environmental Policy (2023) Vol. 25, Iss. 6, pp. 1903-1920
Closed Access | Times Cited: 17

ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
Qiang Wang, Jiali Qi, Shahab Hosseini, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2278-2278
Open Access | Times Cited: 16

Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites
Bin Feng, Shahab Hosseini, Jie Chen, et al.
Infrastructures (2024) Vol. 9, Iss. 10, pp. 181-181
Open Access | Times Cited: 5

Green policy for managing blasting induced dust dispersion in open-pit mines using probability-based deep learning algorithm
Shahab Hosseini, Rashed Pourmirzaee
Expert Systems with Applications (2023) Vol. 240, pp. 122469-122469
Closed Access | Times Cited: 15

Data-Driven Optimized XGBoost and LightGBM for Predicting the Judd-Ofelt Parameters in Rare-Earth Doped Phosphate-Based Glasses
Fahimeh Ahmadi, Mohsen Hajihassani, Stefanos Papanikolaou, et al.
Ceramics International (2025)
Closed Access

Mathematical-Based Gene Expression Programming (GEP): A Novel Model to Predict Zinc Separation from a Bench-Scale Bioleaching Process
Shahab Hosseini, Sepideh Javanshir, Hamid Sabeti, et al.
Journal of Sustainable Metallurgy (2023) Vol. 9, Iss. 4, pp. 1601-1619
Closed Access | Times Cited: 10

Experimental Validation of Model Heat Transfer in Rectangular Hole Beams Using Modern Dimensional Analysis
Renáta-Ildikó Száva, Daniela Șova, Péter Dani, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 409-409
Open Access | Times Cited: 14

Prediction and Minimization of Blasting Flyrock Distance, Using Deep Neural Networks and Gravitational Search Algorithm, JAYA, and Multi-Verse Optimization algorithms
Eslam Ghojoghi, Mohamad Ali Ebrahimi Farsangi, H. R. Mansouri, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e37876-e37876
Open Access | Times Cited: 1

Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System
Zhiguo Chang, Xuyang Shi, Kaidan Zheng, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3505-3505
Open Access | Times Cited: 1

Modern Method to Analyze the Heat Transfer in a Symmetric Metallic Beam with Hole
Daniela Șova, Renáta-Ildikó Száva, Kâroly Jármai, et al.
Symmetry (2022) Vol. 14, Iss. 4, pp. 769-769
Open Access | Times Cited: 6

Relationship analysis and price forecasting of supermarket vegetables based on ARIMA models
Dan Zhou, Chengyuan Fan, Tianle Fang
(2024), pp. 213-217
Closed Access

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