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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:

Forest fire susceptibility modeling using hybrid approaches
Hassan Abedi Gheshlaghi, Bakhtiar Feizizadeh, Thomas Blaschke, et al.
Transactions in GIS (2020) Vol. 25, Iss. 1, pp. 311-333
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
Bakhtiar Feizizadeh, Davoud Omarzadeh, Mohammad Kazemi Garajeh, et al.
Journal of Environmental Planning and Management (2021) Vol. 66, Iss. 3, pp. 665-697
Closed Access | Times Cited: 139
Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 91
Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 20
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm
Tran Thi Tuyen, Abolfazl Jaafari, Hoang Phan Hải Yen, et al.
Ecological Informatics (2021) Vol. 63, pp. 101292-101292
Closed Access | Times Cited: 90
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India
A.L. Achu, Jobin Thomas, C. D. Aju, et al.
Ecological Informatics (2021) Vol. 64, pp. 101348-101348
Closed Access | Times Cited: 84
Automated accurate fire detection system using ensemble pretrained residual network
Şengül Doğan, Prabal Datta Barua, Hüseyin Kutlu, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117407-117407
Open Access | Times Cited: 63
A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran
Bakhtiar Feizizadeh, Davoud Omarzadeh, Zahra Ronagh, et al.
The Science of The Total Environment (2021) Vol. 790, pp. 148272-148272
Open Access | Times Cited: 58
Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach
Kanda Naveen Babu, Rahul Gour, Kurian Ayushi, et al.
Forest Ecology and Management (2023) Vol. 540, pp. 121057-121057
Open Access | Times Cited: 31
Forest fire susceptibility prediction using machine learning models with resampling algorithms, Northern part of Eastern Ghat Mountain range (India)
Biswajit Bera, Pravat Kumar Shit, Nairita Sengupta, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11756-11781
Closed Access | Times Cited: 29
Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic review
Santos D. Chicas, Jonas Østergaard Nielsen
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 2417-2434
Open Access | Times Cited: 29
Artificial neural networks for assessing forest fire susceptibility in Türkiye
Omer Kantarcioglu, Sultan Kocaman, Konrad Schindler
Ecological Informatics (2023) Vol. 75, pp. 102034-102034
Closed Access | Times Cited: 22
Areas of the Terai Arc landscape in Nepal at risk of forest fire identified by fuzzy analytic hierarchy process
A. V. Parajuli, Syed Amir Manzoor, Martin Lukáč
Environmental Development (2023) Vol. 45, pp. 100810-100810
Open Access | Times Cited: 17
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: 8
GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia
Ivan Novković, Goran Marković, Djordje Lukic, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6520-6520
Open Access | Times Cited: 36
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
A modern analogue matching approach to characterize fire temperatures and plant species from charcoal
S. Yoshi Maezumi, William D. Gosling, Judith Kirschner, et al.
Palaeogeography Palaeoclimatology Palaeoecology (2021) Vol. 578, pp. 110580-110580
Open Access | Times Cited: 31
Urban restaurants and online food delivery during the COVID-19 pandemic: a spatial and socio-demographic analysis
Bakhtiar Feizizadeh, Davoud Omrazadeh, Mohammad Ghasemi, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 1725-1751
Open 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
GIS-based ensemble modelling of fuzzy system and bivariate statistics as a tool to improve the accuracy of landslide susceptibility mapping
Hassan Abedi Gheshlaghi, Bakhtiar Feizizadeh
Natural Hazards (2021) Vol. 107, Iss. 2, pp. 1981-2014
Closed Access | Times Cited: 26
An integrated approach of artificial intelligence and geoinformation techniques applied to forest fire risk modeling in Gachsaran, Iran
Bakhtiar Feizizadeh, Davoud Omarzadeh, Vahid Mohammadnejad, et al.
Journal of Environmental Planning and Management (2022) Vol. 66, Iss. 6, pp. 1369-1391
Closed Access | Times Cited: 19
A GIS based spatiotemporal modelling approach for cycling risk mapping using crowd-sourced sensor data
Bakhtiar Feizizadeh, Davood Omarzadeh
Annals of GIS (2025), pp. 1-19
Open Access
A comprehensive bibliometric review of forest fires in Iran
Saeedreza Moazeni, Artemi Cerdà
Environmental Development (2025), pp. 101160-101160
Closed Access
Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems
Utsav Biswas, Susanta Mahato, P. K. Joshi
Environmental Science and Pollution Research (2025)
Closed Access
Advancements in Artificial Intelligence Applications for Forest Fire Prediction
Hui Liu, Lifu Shu, Xiaodong Liu, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 704-704
Open Access
Groundwater potential zones mapping using GIS, RS, and AHP method in the Guigou basin, Middle Atlas, Morocco
Khalid El Hairchi, Abdelhak Limame, Youssef BEN-BRAHİM, et al.
Euro-Mediterranean Journal for Environmental Integration (2024)
Closed Access | Times Cited: 3
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