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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:

Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms
Meysam Alizamir, Kaywan Othman Ahmed, Sungwon Kim, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0293751-e0293751
Open Access | Times Cited: 7

Showing 7 citing articles:

Artificial intelligence to predict soil temperatures by development of novel model
Lakindu Mampitiya, Kenjabek Rozumbetov, Namal Rathnayake, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete
Meysam Alizamir, Aliakbar Gholampour, Sungwon Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
An Interpretable XGBoost-SHAP Machine Learning Model for Reliable Prediction of Mechanical Properties in Waste Foundry Sand-Based Eco-Friendly Concrete
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2025), pp. 104307-104307
Open Access
Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou Syncline Region, Algeria
Mohammed Elamin Stamboul, Habib Azzaz, Abderrahmane Hamımed, et al.
Hydrology (2025) Vol. 12, Iss. 5, pp. 103-103
Open Access
Efficient Computational Investigation on Accurate Daily Soil Temperature Prediction Using Boosting Ensemble Methods Explanation Based on SHAP Importance Analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2024), pp. 103220-103220
Open Access | Times Cited: 2
Earth-sheltered buildings: A review of modeling, energy conservation, daylighting, and noise aspects
G. Mihalakakou, John A. Paravantis, Πέτρος Νικολάου, et al.
Journal of Cleaner Production (2024) Vol. 472, pp. 143482-143482
Open Access | Times Cited: 1
Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access
Soil temperature estimation at different depths using machine learning paradigms based on meteorological data
Anurag Malik, Gadug Sudhamsu, Manjinder Kaur Wratch, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access
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