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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:

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
Sandra Oliveira, Friderike Oehler, Jesús San-Miguel-Ayanz, et al.
Forest Ecology and Management (2012) Vol. 275, pp. 117-129
Closed Access | Times Cited: 660

Showing 26-50 of 660 citing articles:

Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
Muzaffer Can İban, Aliihsan Şekertekin
Ecological Informatics (2022) Vol. 69, pp. 101647-101647
Closed Access | Times Cited: 112
Comparison of Three Machine Learning Algorithms Using Google Earth Engine for Land Use Land Cover Classification
Zhewen Zhao, Fakhrul Islam, Liaqat Ali Waseem, et al.
Rangeland Ecology & Management (2023) Vol. 92, pp. 129-137
Open Access | Times Cited: 103
Forest Fire Occurrence Prediction in China Based on Machine Learning Methods
Yongqi Pang, Yudong Li, Zhongke Feng, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 81
Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn
Emilio Chuvieco, Marta Yebra, Simone Martino, et al.
Fire (2023) Vol. 6, Iss. 5, pp. 215-215
Open Access | Times Cited: 72
A Brief Review of Machine Learning Algorithms in Forest Fires Science
Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8275-8275
Open Access | Times Cited: 66
Prediction of forest fire susceptibility applying machine and deep learning algorithms for conservation priorities of forest resources
Soumik Saha, Biswajit Bera, Pravat Kumar Shit, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100917-100917
Closed Access | Times Cited: 60
Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience
Kaleem Mehmood, Shoaib Ahmad Anees, Akhtar Rehman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102532-102532
Open Access | Times Cited: 56
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: 48
Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI)
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170330-170330
Open Access | Times Cited: 24
Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey
Sofia Giannakidou, Panagiotis Radoglou-Grammatikis, Θωμάς Λάγκας, et al.
Internet of Things (2024) Vol. 26, pp. 101171-101171
Open Access | Times Cited: 24
CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction
Mohammad Marjani, Masoud Mahdianpari, Fariba Mohammadimanesh
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1467-1467
Open Access | Times Cited: 20
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access | Times Cited: 2
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression
Dieu Tien Bui, Kim-Thoa Le, Van Sinh Nguyen, et al.
Remote Sensing (2016) Vol. 8, Iss. 4, pp. 347-347
Open Access | Times Cited: 168
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
Seyed Amir Naghibi, Hamid Reza Pourghasemi, Karim C. Abbaspour
Theoretical and Applied Climatology (2017) Vol. 131, Iss. 3-4, pp. 967-984
Closed Access | Times Cited: 165
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
Abolfazl Jaafari, Eric K. Zenner, Binh Thai Pham
Ecological Informatics (2017) Vol. 43, pp. 200-211
Closed Access | Times Cited: 160
Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia
Bin Wang, Cathy Waters, Susan Orgill, et al.
Ecological Indicators (2018) Vol. 88, pp. 425-438
Closed Access | Times Cited: 157
Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models
Omid Rahmati, Hamid Reza Pourghasemi
Water Resources Management (2017) Vol. 31, Iss. 5, pp. 1473-1487
Closed Access | Times Cited: 156
Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data
Gianluca Tramontana, Kazuhito Ichii, Gustau Camps‐Valls, et al.
Remote Sensing of Environment (2015) Vol. 168, pp. 360-373
Open Access | Times Cited: 153
Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study
Nguyễn Ngọc Thạch, Dang Bao-Toan Ngo, Pham Xuan-Canh, et al.
Ecological Informatics (2018) Vol. 46, pp. 74-85
Open Access | Times Cited: 153
Human-caused fire occurrence modelling in perspective: a review
Sergi Costafreda-Aumedes, Carles Comas, Cristina Vega‐García
International Journal of Wildland Fire (2017) Vol. 26, Iss. 12, pp. 983-983
Open Access | Times Cited: 150
Wildfire susceptibility mapping: Deterministic vs. stochastic approaches
Michael Leuenberger, Joana Parente, Marj Tonini, et al.
Environmental Modelling & Software (2018) Vol. 101, pp. 194-203
Closed Access | Times Cited: 148
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression
Jesús Martínez‐Fernández, Emilio Chuvieco, Nikos Koutsias
Natural hazards and earth system sciences (2013) Vol. 13, Iss. 2, pp. 311-327
Open Access | Times Cited: 147
Exploring the spatial patterns of fire density in Southern Europe using Geographically Weighted Regression
Sandra Oliveira, José M. C. Pereira, Jesús San-Miguel-Ayanz, et al.
Applied Geography (2014) Vol. 51, pp. 143-157
Open Access | Times Cited: 138
Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China
Yu Chang, Zhiliang Zhu, Rencang Bu, et al.
Landscape Ecology (2013) Vol. 28, Iss. 10, pp. 1989-2004
Closed Access | Times Cited: 136
What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests
Futao Guo, Guangyu Wang, Zhangwen Su, et al.
International Journal of Wildland Fire (2016) Vol. 25, Iss. 5, pp. 505-505
Closed Access | Times Cited: 131

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