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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:

Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China
Chaoxue Tan, Zhongke Feng
Sustainability (2023) Vol. 15, Iss. 7, pp. 6292-6292
Open Access | Times Cited: 24

Showing 24 citing articles:

Wildfire Susceptibility Mapping in Baikal Natural Territory Using Random Forest
Olga Nikolaychuk, Julia Pestova, Aleksandr Yu. Yurin
Forests (2024) Vol. 15, Iss. 1, pp. 170-170
Open Access | Times Cited: 8
Machine Learning for Predicting Forest Fire Occurrence in Changsha: An Innovative Investigation into the Introduction of a Forest Fuel Factor
Xin Wu, Gui Zhang, Yang Zhi-gao, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4208-4208
Open Access | Times Cited: 19
Forest fire mapping: a comparison between GIS-based random forest and Bayesian models
Farzaneh Noroozi, Gholamabbas Ghanbarian, Roja Safaeian, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6569-6592
Open Access | Times Cited: 6
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: 13
Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process
Dai Chen, Aicong Zeng, Yan He, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 97-97
Open Access
Forest fire risk assessment model optimized by stochastic average gradient descent
Zexin Fu, Adu Gong, Jia Wan, et al.
Ecological Indicators (2025) Vol. 170, pp. 113006-113006
Open Access
Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques
Wulan Salle Karurung, Kangjae Lee, W. K. Lee
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104435-104435
Closed Access
Modeling the Spatial Distribution of Wildfire Risk in Chile Under Current and Future Climate Scenarios
John Gajardo, Marco A. Yáñez, Robert S. Padilla, et al.
Fire (2025) Vol. 8, Iss. 3, pp. 113-113
Open Access
Modeling of Forest Fire Risk Areas of Amazonas Department, Peru: Comparative Evaluation of Three Machine Learning Methods
Alex J. Vergara, Sivmny V. Valqui-Reina, Dennis Cieza-Tarrillo, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 273-273
Open Access
Non-parametric spatiotemporal trends in fire: An approach to identify fire regimes variations and predict seasonal effects of fire in Iran
Peyman Karami, Sajad Tavakoli
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319993-e0319993
Open Access
Development of an Index for Forest Fire Risk Assessment Considering Hazard Factors and the Hazard-Formative Environment
Adu Gong, Zhiqing Huang, Longfei Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5077-5077
Open Access | Times Cited: 8
Effect of phosphorus/nitrogen/carbon component ratio in aqueous flame retardant on the fire prevention of wood substrate
Weining Du, Zejiang Zhang, Pingli Li, et al.
Journal of Applied Polymer Science (2023) Vol. 140, Iss. 40, pp. 1-9
Closed Access | Times Cited: 6
Assessing the ecological performance of French territories using a spatially-nested approach
Mohamed Hachaichi, Magali Talandier
Ecological Indicators (2023) Vol. 155, pp. 110947-110947
Open Access | Times Cited: 4
Spatial model of wildfire susceptibility using Machine Learning approaches on Rawa Aopa Watumohai National Park, Indonesia
Septianto Aldiansyah, Ilyas Madani
GeoScape (2024) Vol. 18, Iss. 1, pp. 1-20
Open Access | Times Cited: 1
A Multi-Scale Deep Learning Algorithm for Enhanced Forest Fire Danger Prediction Using Remote Sensing Images
Jixiang Yang, Huiping Jiang, Sen Wang, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1581-1581
Open Access | Times Cited: 1
Prediction of Forest-Fire Occurrence in Eastern China Utilizing Deep Learning and Spatial Analysis
Jing Li, Duan Huang, Chuxiang Chen, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1672-1672
Open Access | Times Cited: 1
Development of a Data-Based Machine Learning Model for Classifying and Predicting Property Damage Caused by Fire
Jong‐Ho Lee, Jiuk Shin, Jaewook Lee, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11866-11866
Open Access | Times Cited: 2
An Integrated Grassland Fire-Danger-Assessment System for a Mountainous National Park Using Geospatial Modelling Techniques
Olga D. Mofokeng, Samuel Adelabu, Colbert M. Jackson
Fire (2024) Vol. 7, Iss. 2, pp. 61-61
Open Access
Evaluation of Machine Learning Models to Predict the Probability of Forest Fires with Small Training Sample, Case of the Wilaya of Sidi Belabbes
Gacemi Mohamed El Amine, Ghabi Mohamed, Benshela Naima
(2024), pp. 134-138
Closed Access
Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia
Bojana Horvat, Barbara Karleuša
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2118-2118
Open Access
Assessment of Forest Fire Vulnerability Prediction in Indonesia: Seasonal Variability Analysis Using Machine Learning Techniques
Wulan Salle Karurung, Kangjae Lee, Wonhee Lee
(2024)
Closed Access
Determination of forest fire risk with respect to Marchalina hellenica potential distribution to protect pine honey production sites in Turkey
Fatih Sarı, Nickolas G. Kavallieratos, Nikoleta Eleftheriadou
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53348-53368
Closed Access
Multi-Machine Learning Approach for Mapping Drought-Driven Fires in Kalimantan Using Geo-AI Data
Parwati Sofan, Gatot Nugroho, Suwarsono Suwarsono, et al.
(2024), pp. 1-6
Closed Access
Forest fire mapping: a comparison between GIS-based Random Forest and Bayesian models
Farzaneh Noroozi, Gholamabbas Ghanbarian, Roja Safaeian, et al.
Research Square (Research Square) (2023)
Open Access
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