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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 fuel type classification: Review of remote sensing techniques, constraints and future trends
Abolfazl Abdollahi, Marta Yebra
Journal of Environmental Management (2023) Vol. 342, pp. 118315-118315
Open Access | Times Cited: 21

Showing 21 citing articles:

Quantitative regularization in robust vision transformer for remote sensing image classification
Huaxiang Song, Yuxuan Yuan, Zhiwei Ouyang, et al.
The Photogrammetric Record (2024) Vol. 39, Iss. 186, pp. 340-372
Closed Access | Times Cited: 8
Fractional cover mapping of wildland-urban interface fuels using Landsat, Sentinel 1 and PALSAR imagery
Luke Collins, Luc Guindon, Chris Lloyd, et al.
Remote Sensing of Environment (2024) Vol. 308, pp. 114189-114189
Closed Access | Times Cited: 4
Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification
Pegah Mohammadpour, D. X. Viegas, Alcides Pereira, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104455-104455
Closed Access
Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation
Pirunthan Keerthinathan, A. Narmilan, Grant Hamilton, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 18, pp. 5628-5685
Open Access | Times Cited: 10
A Systematic Review of the Latest Research Trends on the Use of Satellite Imagery in Solid Waste Disposal Applications from 2012 to 2021
Nima Karimi, Kelvin Tsun Wai Ng, Tanvir Shahrier Mahmud, et al.
Environments (2023) Vol. 10, Iss. 7, pp. 128-128
Open Access | Times Cited: 9
Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data
Lino Comesaña-Cebral, J. Martínez-Sánchez, Gabriel E. Suárez-Fernández, et al.
Ecological Informatics (2024) Vol. 81, pp. 102612-102612
Open Access | Times Cited: 2
Comparing Forest Understory Fuel Classification in Portugal Using Discrete Airborne Laser Scanning Data and Satellite Multi-Source Remote Sensing Data
Bojan Mihajlovski, Paulo M. Fernandes, José M. C. Pereira, et al.
Fire (2023) Vol. 6, Iss. 9, pp. 327-327
Open Access | Times Cited: 5
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management
Rodrigo Vieira Leite, Cibele Hummel do Amaral, C. S. R. Neigh, et al.
Remote Sensing in Ecology and Conservation (2024)
Open Access | Times Cited: 1
Comparative Analysis between Remote Sensing Burned Area Products in Brazil: A Case Study in an Environmentally Unstable Watershed
Juarez Antônio da Silva Júnior, Admilson da Penha Pachêco, Antonio M. Ruiz‐Armenteros, et al.
Fire (2024) Vol. 7, Iss. 7, pp. 238-238
Open Access | Times Cited: 1
Classification and Mapping of Fuels in Mediterranean Forest Landscapes Using a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser Scanner Systems
Raúl Hoffrén, María Teresa Lamelas Gracia, Juan de la Riva
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3536-3536
Open Access | Times Cited: 1
A Novel Spectral–Spatial Methodology for Hierarchical Fuel Type Mapping in Mediterranean Ecosystems Using Sentinel-2 Timeseries and Auxiliary Thematic Data
Michail Sismanis, Ioannis Z. Gitas, Dimitris Stavrakoudis, et al.
Fire (2024) Vol. 7, Iss. 11, pp. 407-407
Open Access | Times Cited: 1
Google Earth Engine for Advanced Land Cover Analysis from Landsat-8 Data with Spectral and Topographic Insights
Abolfazl Abdollahi, Biswajeet Pradhan, Abdullah Alamri, et al.
Journal of Sensors (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 2
High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling
Álvaro Agustín Chávez-Durán, Miguel Olvera‐Vargas, Inmaculada Aguado, et al.
Fire (2024) Vol. 7, Iss. 11, pp. 408-408
Open Access
Unlocking the Potential of Als Data for Direct Assessment of Fuel Load and Vertical Structure
Olivier Martin‐Ducup, Jean‐Luc Dupuy, Maxime Soma, et al.
(2024)
Closed Access
Wildland fire fuels database for Corsican - Mediterranean Forest stand types
Yolanda Pérez-Ramirez, Lila Ferrat, Jean-Baptiste Filippi
Forest Ecology and Management (2024) Vol. 565, pp. 122002-122002
Open Access
Characterizing Forest Fires Risks Using Free Multi-Source Data: Identifying High-Risk Road Sections
Gabriel E. Suárez-Fernández, J. Martínez-Sánchez, Pedro Arias, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-4/W11-2024, pp. 121-128
Open Access
Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8
Jesus Antonio Low-Castro, Nima Shirzad‐Ghaleroudkhani, M. Jamshidi, et al.
Lecture notes in computer science (2024), pp. 236-247
Closed Access
Influence of fuel data assumptions on wildfire exposure assessment of the built environment
Air M. Forbes, Jennifer L. Beverly
International Journal of Wildland Fire (2024) Vol. 33, Iss. 11
Open Access
Unlocking the potential of Airborne LiDAR for direct assessment of fuel bulk density and load distributions for wildfire hazard mapping
Olivier Martin‐Ducup, Jean‐Luc Dupuy, Maxime Soma, et al.
Agricultural and Forest Meteorology (2024) Vol. 362, pp. 110341-110341
Open Access
Characterization of Fuel Types for the Canadian Region Using MODIS MCD12Q1 Data
Enrica Nestola, Olga Gavrichkova, Vito Vitale, et al.
Fire (2024) Vol. 7, Iss. 12, pp. 485-485
Open Access
Regional-Scale Analysis of Vegetation Dynamics Using Satellite Data and Machine Learning Algorithms: A Multi-Factorial Approach
Abolfazl Abdollahi, Biswajeet Pradhan, Abdullah Alamri
International Journal on Smart Sensing and Intelligent Systems (2023) Vol. 16, Iss. 1
Open Access
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