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:

Spatial and temporal intercomparison of four global burned area products
M. L. Humber, Luigi Boschetti, Louis Giglio, et al.
International Journal of Digital Earth (2018) Vol. 12, Iss. 4, pp. 460-484
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

The Collection 6 MODIS burned area mapping algorithm and product
Louis Giglio, Luigi Boschetti, David P. Roy, et al.
Remote Sensing of Environment (2018) Vol. 217, pp. 72-85
Open Access | Times Cited: 1036

Historical background and current developments for mapping burned area from satellite Earth observation
Emilio Chuvieco, Florent Mouillot, Guido R. van der Werf, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 45-64
Open Access | Times Cited: 485

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

A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
Joshua Lizundia-Loiola, Gonzalo Otón, Rubén Ramo, et al.
Remote Sensing of Environment (2019) Vol. 236, pp. 111493-111493
Open Access | Times Cited: 312

Global validation of the collection 6 MODIS burned area product
Luigi Boschetti, David P. Roy, Louis Giglio, et al.
Remote Sensing of Environment (2019) Vol. 235, pp. 111490-111490
Open Access | Times Cited: 197

Satellite Remote Sensing Contributions to Wildland Fire Science and Management
Emilio Chuvieco, Inmaculada Aguado, Javier Salas, et al.
Current Forestry Reports (2020) Vol. 6, Iss. 2, pp. 81-96
Closed Access | Times Cited: 163

Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models
Matthias Forkel, Niels Andela, Sandy P. Harrison, et al.
Biogeosciences (2019) Vol. 16, Iss. 1, pp. 57-76
Open Access | Times Cited: 158

Forest fire threatens global carbon sinks and population centres under rising atmospheric water demand
Hamish Clarke, Rachael H. Nolan, Víctor Resco de Dios, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 94

Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies
Miguel A. Belenguer-Plomer, Mihai A. Tanase, Ángel Fernández-Carrillo, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111345-111345
Open Access | Times Cited: 125

Landscape drivers of recent fire activity (2001-2017) in south-central Chile
David B. McWethy, Aníbal Pauchard, Rafael A. García, et al.
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0201195-e0201195
Open Access | Times Cited: 104

Recent global and regional trends in burned area and their compensating environmental controls
Matthias Forkel, Wouter Dorigo, Gitta Lasslop, et al.
Environmental Research Communications (2019) Vol. 1, Iss. 5, pp. 051005-051005
Open Access | Times Cited: 99

Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models
Lina Teckentrup, Sandy P. Harrison, Stijn Hantson, et al.
Biogeosciences (2019) Vol. 16, Iss. 19, pp. 3883-3910
Open Access | Times Cited: 83

Understanding and modelling wildfire regimes: an ecological perspective
Sandy P. Harrison, I. Colin Prentice, Keith J. Bloomfield, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 12, pp. 125008-125008
Open Access | Times Cited: 74

Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery
Admilson da Penha Pachêco, Juarez Antonio da Silva, Antonio M. Ruiz‐Armenteros, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1345-1345
Open Access | Times Cited: 67

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

Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
Eldar Kurbanov, Oleg Vorobev, С.А. Лежнин, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4714-4714
Open Access | Times Cited: 53

Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope
Vitor S. Martins, David P. Roy, Haiyan Huang, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113203-113203
Open Access | Times Cited: 44

Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia
Arden Burrell, Qiaoqi Sun, Robert Baxter, et al.
The Science of The Total Environment (2022) Vol. 831, pp. 154885-154885
Open Access | Times Cited: 40

A global fuel characteristic model and dataset for wildfire prediction
Joe McNorton, Francesca Di Giuseppe
Biogeosciences (2024) Vol. 21, Iss. 1, pp. 279-300
Open Access | Times Cited: 9

New estimates of greenhouse gas emissions from biomass burning and peat fires using MODIS Collection 6 burned areas
Paolo Prosperi, Mario Bloise, Francesco N. Tubiello, et al.
Climatic Change (2020) Vol. 161, Iss. 3, pp. 415-432
Open Access | Times Cited: 68

Remote Sensing’s Recent and Future Contributions to Landscape Ecology
Morgan A. Crowley, Jeffrey A. Cardille
Current Landscape Ecology Reports (2020) Vol. 5, Iss. 3, pp. 45-57
Open Access | Times Cited: 62

Wildfire Detection Probability of MODIS Fire Products under the Constraint of Environmental Factors: A Study Based on Confirmed Ground Wildfire Records
Lingxiao Ying, Zehao Shen, Mingzheng Yang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 3031-3031
Open Access | Times Cited: 60

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

Spectral mixture analysis in Google Earth Engine to model and delineate fire scars over a large extent and a long time-series in a rainforest-savanna transition zone
G. Antunes Daldegan, Dar A. Roberts, Fernanda de Figueiredo Ribeiro
Remote Sensing of Environment (2019) Vol. 232, pp. 111340-111340
Closed Access | Times Cited: 58

Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018–2019 Using Multi-Source Satellite Products
Mahlatse Kganyago, Lerato Shikwambana
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1803-1803
Open Access | Times Cited: 56

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