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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:

How well do global burned area products represent fire patterns in the Brazilian Savannas biome? An accuracy assessment of the MCD64 collections
Julia A. Rodrigues, Renata Libonati, Allan Arantes Pereira, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 78, pp. 318-331
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

The Global Fire Atlas of individual fire size, duration, speed and direction
Niels Andela, Douglas C. Morton, Louis Giglio, et al.
Earth system science data (2019) Vol. 11, Iss. 2, pp. 529-552
Open Access | Times Cited: 345
Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning
Ane Alencar, Vera L. S. Arruda, Wallace Vieira da Silva, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2510-2510
Open Access | Times Cited: 77
Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction
Rafik Ghali, Moulay A. Akhloufi
Fire (2023) Vol. 6, Iss. 5, pp. 192-192
Open Access | Times Cited: 46
Extensive 21st‐Century Woody Encroachment in South America's Savanna
Thais M. Rosan, Luiz E. O. C. Aragão, Imma Oliveras Menor, et al.
Geophysical Research Letters (2019) Vol. 46, Iss. 12, pp. 6594-6603
Open Access | Times Cited: 107
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Miguel M. Pinto, Renata Libonati, Ricardo M. Trigo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 160, pp. 260-274
Closed Access | Times Cited: 107
An alternative approach for mapping burn scars using Landsat imagery, Google Earth Engine, and Deep Learning in the Brazilian Savanna
Vera L. S. Arruda, Valderli Jorge Piontekowski, Ane Alencar, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 22, pp. 100472-100472
Open Access | Times Cited: 62
Fire-induced loss of the world’s most biodiverse forests in Latin America
Dolors Armenteras, Liliana M. Dávalos, Joan Sebastian Barreto, et al.
Science Advances (2021) Vol. 7, Iss. 33
Open Access | Times Cited: 57
Lightning patterns in the Pantanal: Untangling natural and anthropogenic-induced wildfires
Lucas S. Menezes, Aline Macedo de Oliveira, Filippe L.M. Santos, et al.
The Science of The Total Environment (2022) Vol. 820, pp. 153021-153021
Open Access | Times Cited: 57
Increased burned area in the Pantanal over the past two decades
Danielle Blazys Correa, Enner Alcântara, Renata Libonati, et al.
The Science of The Total Environment (2022) Vol. 835, pp. 155386-155386
Open Access | Times Cited: 43
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas
Manuel L. Campagnolo, Renata Libonati, Julia A. Rodrigues, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112115-112115
Closed Access | Times Cited: 62
Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products
Magí Franquesa, Joshua Lizundia-Loiola, Stephen V. Stehman, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112823-112823
Open Access | Times Cited: 49
Assessing four decades of fire behavior dynamics in the Cerrado biome (1985 to 2022)
Vera Laísa da Silva Arruda, Ane Alencar, Osmar Abílio de Carvalho Júnior, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 7
Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires
Yenni Vetrita, Mark A. Cochrane, Suwarsono Suwarsono, et al.
Environmental Research Letters (2020) Vol. 16, Iss. 3, pp. 035015-035015
Open Access | Times Cited: 50
Putting fire on the map of Brazilian savanna ecoregions
Patrícia S. Silva, Joana Nogueira, Julia A. Rodrigues, et al.
Journal of Environmental Management (2021) Vol. 296, pp. 113098-113098
Closed Access | Times Cited: 39
Prescribed Burning Reduces Large, High-Intensity Wildfires and Emissions in the Brazilian Savanna
Filippe L.M. Santos, Joana Nogueira, Rodrigo Augusto Ferreira De Souza, et al.
Fire (2021) Vol. 4, Iss. 3, pp. 56-56
Open Access | Times Cited: 38
Assessment and characterization of sources of error impacting the accuracy of global burned area products
Magí Franquesa, Stephen V. Stehman, Emilio Chuvieco
Remote Sensing of Environment (2022) Vol. 280, pp. 113214-113214
Open Access | Times Cited: 23
Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon
Ana Carolina Moreira Pessôa, Liana O. Anderson, Nathália S. Carvalho, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3864-3864
Open Access | Times Cited: 39
Fire dynamics in Mato Grosso State, Brazil: the relative roles of gross primary productivity
Fernando Saragosa Rossi, Gustavo André de Araújo Santos
Big Earth Data (2020) Vol. 4, Iss. 1, pp. 23-44
Open Access | Times Cited: 33
Joining forces to fight wildfires: Science and management in a protected area of Pantanal, Brazil
Patrícia S. Silva, Julia A. Rodrigues, Joana Nogueira, et al.
Environmental Science & Policy (2024) Vol. 159, pp. 103818-103818
Open Access | Times Cited: 4
Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets
Yosio Edemir Shimabukuro, Andeise Cerqueira Dutra, Egídio Arai, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3827-3827
Open Access | Times Cited: 31
Forest Fragmentation and Fires in the Eastern Brazilian Amazon–Maranhão State, Brazil
Celso H. L. Silva, Arisson T. M. Buna, Denílson da Silva Bezerra, et al.
Fire (2022) Vol. 5, Iss. 3, pp. 77-77
Open Access | Times Cited: 19
PREDICTION OF FOREST FIRE SUSCEPTIBILITY USING MACHINE LEARNING TOOLS IN THE TRIUNFO DO XINGU ENVIRONMENTAL PROTECTION AREA, AMAZON, BRAZIL
Kemuel Maciel Freitas, Ronie Silva Juvanhol, Christiano Jorge Gomes Pinheiro, et al.
Journal of South American Earth Sciences (2025), pp. 105366-105366
Closed Access
A multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery
Alisson Cleiton de Oliveira, Thales Sehn Körting
Big Earth Data (2025), pp. 1-32
Open Access
Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado
Filippe L.M. Santos, Renata Libonati, Leonardo F. Peres, et al.
International Journal of Remote Sensing (2020) Vol. 41, Iss. 21, pp. 8300-8327
Closed Access | Times Cited: 23
Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution
Ediclê de Souza Fernandes Duarte, Philipp Franke, Anne Caroline Lange, et al.
Atmospheric Pollution Research (2020) Vol. 12, Iss. 2, pp. 451-469
Open Access | Times Cited: 23
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