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:

A study on environmental issues of blasting using advanced support vector machine algorithms
L. Chen, Danial Jahed Armaghani, P. Fakharuab, et al.
International Journal of Environmental Science and Technology (2022) Vol. 19, Iss. 7, pp. 6221-6240
Open Access | Times Cited: 6

Showing 6 citing articles:

Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
Moses Olabhele Esangbedo, Blessing Olamide Taiwo, Hawraa H. Abbas, et al.
Resources Policy (2024) Vol. 92, pp. 105014-105014
Closed Access | Times Cited: 12

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

Modeling and Predicting Scour Hole Dimensions in Siphon Spillways: A Comparative Analysis of Finite-Element Method and Metaheuristic Approaches for Optimal Prediction
Mehrdad Daghighi Masoule, Hasan Ahmadi, K. Nekofar, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 2
Closed 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

Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
Pouya Nobahar, Roohollah Shirani Faradonbeh, Seyed Najmedin Almasi, et al.
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 4, pp. 2099-2118
Closed Access | Times Cited: 1

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