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:

ENSEMBLING OF DECISION TREES, KNN, AND LOGISTIC REGRESSION WITH SOFT-VOTING METHOD FOR WILDFIRE SUSCEPTIBILITY MAPPING
Ali Rezaei Barzani, P. Pahlavani, O. Ghorbanzadeh
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-4/W1-2022, pp. 647-652
Open Access | Times Cited: 7

Showing 7 citing articles:

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 34

Comparison of diverse machine learning algorithms for forest fire susceptibility mapping in Antalya, Türkiye
Hazan Alkan Akıncı, Halil Akıncı, Mustafa Zeybek
Advances in Space Research (2024) Vol. 74, Iss. 2, pp. 647-667
Closed Access | Times Cited: 7

Machine Learning-Based Wildfire Susceptibility Mapping: A Gis-Integrated Predictive Framework
Yehya Bouzeraa, Nardjes Bouchemal, Salim Djaaboub
(2025)
Closed Access

Le rouge, le noir, et l'inégalité: tax policy and inequality in the European Union
James Ming Chen, Nika Šimurina, Martina Solenički
Frontiers in Applied Mathematics and Statistics (2024) Vol. 9
Open Access | Times Cited: 2

Geoportals in Solving the Problem of Natural Hazards Monitoring
Stanislav A. Yamashkin, Anatoliy A. Yamashkin, A. S. Rotanov, et al.
Lecture notes in networks and systems (2024), pp. 142-158
Closed Access | Times Cited: 1

A Forest Fire Prediction Model Based on Meteorological Factors and the Multi-Model Ensemble Method
Seungcheol Choi, M. Son, Changgyun Kim, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1981-1981
Open Access | Times Cited: 1

Four hybrid machine learning algorithms to predict forest fire susceptibility
Huayu Zhang, Xiao Yu Huang, Yi Ouyang, et al.
(2024), pp. 56-56
Closed Access

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