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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:

Hybridization of Parametric and Non-parametric Techniques to Predict Air Over-pressure Induced by Quarry Blasting
Xianqi Zhou, Danial Jahed Armaghani, Jinbi Ye, et al.
Natural Resources Research (2020) Vol. 30, Iss. 1, pp. 209-224
Closed Access | Times Cited: 20

Showing 20 citing articles:

ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions
Abidhan Bardhan, Pijush Samui, Kuntal Ghosh, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107595-107595
Closed Access | Times Cited: 90
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
Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review
Mahdi Aghaabbasi, Saksith Chalermpong
Travel Behaviour and Society (2023) Vol. 33, pp. 100640-100640
Closed Access | Times Cited: 28
A combination of fuzzy Delphi method and hybrid ANN-based systems to forecast ground vibration resulting from blasting
Jiandong Huang, Mohammadreza Koopialipoor, Danial Jahed Armaghani
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 58
Air Pollution Risk Assessment Using a Hybrid Fuzzy Intelligent Probability-Based Approach: Mine Blasting Dust Impacts
Ezzeddin Bakhtavar, Shahab Hosseini, Kasun Hewage, et al.
Natural Resources Research (2021) Vol. 30, Iss. 3, pp. 2607-2627
Closed Access | Times Cited: 49
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: 35
A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor
Abidhan Bardhan, Anasua GuhaRay, Shubham Gupta, et al.
Transportation Geotechnics (2021) Vol. 32, pp. 100678-100678
Closed Access | Times Cited: 33
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 Novel Combination of Gradient Boosted Tree and Optimized ANN Models for Forecasting Ground Vibration Due to Quarry Blasting
Kang Peng, Jie Zeng, Danial Jahed Armaghani, et al.
Natural Resources Research (2021) Vol. 30, Iss. 6, pp. 4657-4671
Closed Access | Times Cited: 21
Prediction of the mean fragment size in mine blasting operations by deep learning and grey wolf optimization algorithm
Kai Rong, Xuan Xu, Haibo Wang, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 2903-2919
Closed Access | Times Cited: 3
Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach
Clement Kweku Arthur, Ramesh Murlidhar Bhatawdekar, Edy Tonnizam Mohamad, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9189-9189
Open Access | Times Cited: 14
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
Reliability Analysis of Piled Raft Foundation Using a Novel Hybrid Approach of ANN and Equilibrium Optimizer
Abidhan Bardhan, Priyadip Manna, Vinay Kumar, et al.
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 3, pp. 1033-1067
Open Access | Times Cited: 14
Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique
Zhaoxin Jiang, Hongyan Xu, Hui Chen, et al.
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 10
Application of an expert extreme gradient boosting model to predict blast-induced air-overpressure in quarry mines
Biao He, Danial Jahed Armaghani, Sai Hin Lai, et al.
Elsevier eBooks (2024), pp. 269-289
Closed Access | Times Cited: 1
Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization
Enming Li, Zongguo Zhang, Jian Zhou, et al.
Geohazard Mechanics (2024)
Open Access | Times Cited: 1
Advanced Analytics for Rock Blasting and Explosives Engineering in Mining
Jorge Luiz Valença Mariz, Ali Soofastaei
Springer eBooks (2022), pp. 363-477
Closed Access | Times Cited: 3
Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques
Ramesh Murlidhar Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi
SpringerBriefs in applied sciences and technology (2021), pp. 61-77
Closed Access | Times Cited: 2
Metoda zarządzania ryzykiem zawodowym dla robót strzałowych w odkrywkowym górnictwie skalnym w oparciu o zmodyfikowany algorytm FMECA
Michał Dworzak
Inżynieria Mineralna (2023) Vol. 1, Iss. 1
Open Access
Estimation and Identification of Nonlinear Parameter of Motion Index Based on Least Squares Algorithm
Hong Qin
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access
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