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:

FOREST FIRE RISK ASSESSMENT USING GIS AND AHP INTEGRATION IN BUCAK FOREST ENTERPRISE, TURKEY
H. Oğuz Çoban, Ceren Erdin
Applied Ecology and Environmental Research (2020) Vol. 18, Iss. 1, pp. 1567-1583
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region
Fatih Sivrikaya, Ömer Küçük
Ecological Informatics (2021) Vol. 68, pp. 101537-101537
Closed Access | Times Cited: 126

Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
Hazan Alkan Akıncı, Halil Akıncı
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 397-414
Closed Access | Times Cited: 53

Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models
Aishwarya Sinha, S. Nikhil, R. S. Ajin, et al.
Fire (2023) Vol. 6, Iss. 2, pp. 44-44
Open Access | Times Cited: 33

Integrated Spatial Analysis of Forest Fire Susceptibility in the Indian Western Himalayas (IWH) Using Remote Sensing and GIS-Based Fuzzy AHP Approach
Pragya, Manish Kumar, Akash Tiwari, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4701-4701
Open Access | Times Cited: 21

Evaluation of forest fire risk based on multicriteria decision analysis techniques for Changzhou, China
Weiyi Ju, Zhixiang Xing, Jie Wu, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104082-104082
Closed Access | Times Cited: 19

Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA
Gojko Nikolić, Filip Vujović, Jelena Golijanin, et al.
Atmosphere (2023) Vol. 14, Iss. 6, pp. 929-929
Open Access | Times Cited: 14

Predicting forest fire vulnerability using machine learning approaches in The Mediterranean Region: a case study of Türkiye
Muhammad Purnama, I Nengah Surati Jaya, Lailan Syaufina, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1315, Iss. 1, pp. 012056-012056
Open Access | Times Cited: 5

Prediction capability of the MCDA-AHP model in wildfire risk zonation of a protected area in the Southern Western Ghats
Salma Salma, S. Nikhil, Jean Homian Danumah, et al.
Environmental Sustainability (2023) Vol. 6, Iss. 1, pp. 59-72
Closed Access | Times Cited: 12

Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors
A. Novo, Hurem Dutal, Saeedeh Eskandari
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 2, pp. 655-679
Closed Access | Times Cited: 4

Modeling wildfire risk in western Iran based on the integration of AHP and GIS
Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Rasoul Bagherabadi, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 9
Closed Access | Times Cited: 18

Mapping the probability of Forest fire in the Mediterranean region of Türkiye using the GIS-based fuzzy-AHP method
Zennure Uçar, Coşkun Okan Güney, Abdullah E. Akay, et al.
Human and Ecological Risk Assessment An International Journal (2025), pp. 1-26
Closed Access

A Multicriteria Geographic Information System Analysis of Wildfire Susceptibility in the Andean Region: A Case Study in Ibarra, Ecuador
Paúl Arias-Muñoz, Santiago Cabrera-García, Gabriel Jácome
Fire (2024) Vol. 7, Iss. 3, pp. 81-81
Open Access | Times Cited: 3

Forest fire risk modeling in Mediterranean forests using GIS and AHP method: case of the high Rif forest massif (Morocco)
Mohamed El Mazi, Mohamed Boutallaka, Er-Riyahi Saber, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1109-1123
Closed Access | Times Cited: 3

Mapping the forest fire risk zones using artificial intelligence with risk factors data
Volkan Sevinç
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 4721-4732
Open Access | Times Cited: 13

Development of an Algorithm for Calculating the Moisture Content and Time of Forest Fire Maturation of Forest Combustible Materials for Determining Forest Fire Hazards
Anatoliy A. Aleksandrov, Б.С. Ксенофонтов, Alexey S. Kozodaev, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1937-1937
Open Access | Times Cited: 8

Forest Fire Risk Management at the Country Scale: The Case of Turkey
Yaşar Selman Gültekin, Pınar Gültekin
Springer eBooks (2024), pp. 43-52
Closed Access | Times Cited: 2

A comprehensive evaluation model for forest fires based on MCDA and machine learning: A case study of Zhenjiang City, China
Rui Xing, Weiyi Ju, Hualiang Lu
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2

Rural Fire Risk Assessment in GIS Environment Using Fuzzy Logic and the AHP Approaches
Ceren Erdin, Mehmet Çağlar
Polish Journal of Environmental Studies (2021) Vol. 30, Iss. 6, pp. 4971-4984
Open Access | Times Cited: 14

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