Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 21 citing articles:

Integrated wildfire danger models and factors: A review
Ioannis Zacharakis, Vassiliοs A. Tsihrintzis
The Science of The Total Environment (2023) Vol. 899, pp. 165704-165704
Closed Access | Times Cited: 26
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 | Times Cited: 1
UAV-based remote sensing using visible and multispectral indices for the estimation of vegetation cover in an oasis of a desert
Ning Wang, Yuchuan Guo, Xuan Wei, et al.
Ecological Indicators (2022) Vol. 141, pp. 109155-109155
Open Access | Times Cited: 33
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
Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility
Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine
Tianwu Ma, Gang Wang, Rui Guo, et al.
Journal of Environmental Management (2024) Vol. 359, pp. 120966-120966
Closed Access | Times Cited: 6
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
Indigenous use of fire in the paramo ecosystem of southern Ecuador: a case study using remote sensing methods and ancestral knowledge of the Kichwa Saraguro people
Sandy Celi Díaz, Liliana Correa Quezada, Leticia Salomé Jiménez Álvarez, et al.
Fire Ecology (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 12
A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT)
Bita Ghasemkhani, Kadriye Filiz Balbal, Derya Birant
Mathematics (2024) Vol. 12, Iss. 18, pp. 2825-2825
Open Access | Times Cited: 4
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: 9
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
FC-StackGNB: A novel machine learning modeling framework for forest fire risk prediction combining feature crosses and model fusion algorithm
Ye Su, Longlong Zhao, Xiaoli Li, et al.
Ecological Indicators (2024), pp. 112577-112577
Open Access | Times Cited: 3
Assessing Hyrcanian forest fire vulnerability: socioeconomic and environmental perspectives
Elnaz Nejatiyanpour, Omid Ghorbanzadeh, Josef Strobl, et al.
Journal of Forestry Research (2025) Vol. 36, Iss. 1
Open Access
Assessment of Forest Fire Severity for a Management Conceptual Model: Case Study in Vilcabamba, Ecuador
Fernando Alexis Gonzalez Soto, Fernando Morante-Carballo, Aníbal González, et al.
Forests (2024) Vol. 15, Iss. 12, pp. 2210-2210
Open Access | Times Cited: 2
Logistic Model Tree Forest for Steel Plates Faults Prediction
Bita Ghasemkhani, Reyat Yılmaz, Derya Birant, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 679-679
Open Access | Times Cited: 5
Exploring the ethnobiological practices of fire in three natural regions of Ecuador, through the integration of traditional knowledge and scientific approaches
Vinicio Carrión‐Paladines, Liliana Correa-Quezada, Huayra Valdiviezo Malo, et al.
Journal of Ethnobiology and Ethnomedicine (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 1
Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data
Melanie Maxwald, Markus Immitzer, Hans Peter Rauch, et al.
Fire (2022) Vol. 5, Iss. 6, pp. 211-211
Open Access | Times Cited: 6
Integrating Geospatial Technology in Learning: An Innovation to Improve Understanding of Geography Concepts
Susan E Manakane, Philia Christi Latue, Heinrich Rakuasa
Sinergi International Journal of Education (2023) Vol. 1, Iss. 2, pp. 60-74
Open Access | Times Cited: 2
Análisis espacial y temporal de incendios forestales en el Ecuador utilizando datos de sensores remotos
César Cisneros Vaca, Julia Calahorrano, Mery Manzano
Colombia Forestal (2024) Vol. 27, Iss. 1, pp. e20111-e20111
Open Access
Susceptibilidad para incendios de cubierta vegetal
Paúl Arias-Muñoz, Luis Chuma-Pomasqui, Pablo Coronado Cacuango, et al.
Cuadernos de Investigación Geográfica (2024) Vol. 50, Iss. 1, pp. 21-39
Open Access
Forest wildfire risk mapping, performance comparison of machine learning algorithms
Shadi Jalilian, Shaban Shataee
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top