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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:

Assessing Landscape Fire Hazard by Multitemporal Automatic Classification of Landsat Time Series Using the Google Earth Engine in West-Central Spain
Natalia Quintero, Olga Viedma, Itziar R. Urbieta, et al.
Forests (2019) Vol. 10, Iss. 6, pp. 518-518
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 152-170
Closed Access | Times Cited: 965
A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, et al.
Environmental Reviews (2020) Vol. 28, Iss. 4, pp. 478-505
Open Access | Times Cited: 550
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 155
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
Alexandra Runge, Ingmar Nitze, Guido Grosse
Remote Sensing of Environment (2021) Vol. 268, pp. 112752-112752
Open Access | Times Cited: 109
The influence of land abandonment on forest disturbance regimes: a global review
Giulia Mantero, Donato Morresi, Raffaella Marzano, et al.
Landscape Ecology (2020) Vol. 35, Iss. 12, pp. 2723-2744
Open Access | Times Cited: 110
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
How do disparate urbanization and climate change imprint on urban thermal variations? A comparison between two dynamic cities in Southeast Asia
Cần Trọng Nguyễn, Amnat Chidthaisong, Atsamon Limsakul, et al.
Sustainable Cities and Society (2022) Vol. 82, pp. 103882-103882
Closed Access | Times Cited: 46
Advancements in remote sensing for active fire detection: A review of datasets and methods
Songxi Yang, Qunying Huang, Manzhu Yu
The Science of The Total Environment (2024) Vol. 943, pp. 173273-173273
Closed Access | Times Cited: 16
Post-fire spectral recovery and driving factors across the boreal and temperate forests
Li Kai Li, Zhihua Liu, Wenru Xu, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2025) Vol. 380, Iss. 1924
Closed Access | Times Cited: 1
The Role of Tourism Planning in Land-Use/Land-Cover Changes in the Kızkalesi Tourism Destination
Yasemin Sarıkaya Levent, Ezgi Şahin, Tolga Levent
Land (2024) Vol. 13, Iss. 2, pp. 151-151
Open Access | Times Cited: 7
2021 Turkey mega forest Fires: Biodiversity measurements of the IUCN Red List wildlife mammals in Sentinel-2 based burned areas
Fulya Aydın-Kandemir, Nusret Demir
Advances in Space Research (2023) Vol. 71, Iss. 7, pp. 3060-3075
Closed Access | Times Cited: 13
Remote sensing delineation of wildfire spatial extents and post-fire recovery along a semi-arid climate gradient
Wenjie Liu, Huade Guan, Patrick A. Hesp, et al.
Ecological Informatics (2023) Vol. 78, pp. 102304-102304
Open Access | Times Cited: 13
A Highly Accurate Forest Fire Prediction Model Based on an Improved Dynamic Convolutional Neural Network
Shaoxiong Zheng, Peng Gao, Weixing Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6721-6721
Open Access | Times Cited: 18
Contextualizing the 2019–2020 Kangaroo Island Bushfires: Quantifying Landscape-Level Influences on Past Severity and Recovery with Landsat and Google Earth Engine
Mitchell T. Bonney, Yuhong He, Soe W. Myint
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3942-3942
Open Access | Times Cited: 24
Forest fire probability under ENSO conditions in a semi-arid region: a case study in Guanajuato
Michelle Farfán Gutiérrez, Christian Domínguez, Alejandra Espinoza-Maya, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 10
Closed Access | Times Cited: 23
Automatic Mapping of Burned Areas Using Landsat 8 Time-Series Images in Google Earth Engine: A Case Study from Iran
Houri Gholamrezaie, Mahdi Hasanlou, Meisam Amani, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6376-6376
Open Access | Times Cited: 16
Optimising fire severity mapping using pixel-based image compositing
Néstor Quintero, Olga Viedma, Sander Veraverbeke, et al.
Remote Sensing of Environment (2025) Vol. 321, pp. 114687-114687
Open Access
Assessing the impact of unplanned settlements on urban renewal projects with GEE
Okan Yılmaz, Mehmet Alkan
Habitat International (2024) Vol. 149, pp. 103095-103095
Closed Access | Times Cited: 2
Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2
A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine
Rimsha Hasan, Aditya Kapoor, Rajneesh Kumar Singh, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access | Times Cited: 2
Soil biogeochemistry and microbial community dynamics in Pinus pinaster Ait. forests subjected to increased fire frequency
Enrique Albert‐Belda, M. Belén Hinojosa, Vito Armando Laudicina, et al.
The Science of The Total Environment (2022) Vol. 858, pp. 159912-159912
Closed Access | Times Cited: 10
A New Method for the Rapid Determination of Fire Disturbance Events Using GEE and the VCT Algorithm—A Case Study in Southwestern and Northeastern China
Junhong Ye, Nan Wang, Min Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 413-413
Open Access | Times Cited: 5
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
Xiong Yin, Weili Kou, Ting Yun, et al.
Forests (2022) Vol. 13, Iss. 12, pp. 2038-2038
Open Access | Times Cited: 7
MCD64A1 Burnt Area Dataset Assessment using Sentinel-2 and Landsat-8 on Google Earth Engine: A Case Study in Rompin, Pahang in Malaysia
Yee Jian Chew, Shih Yin Ooi, Ying Han Pang
(2023)
Open Access | Times Cited: 3
Review of satellite resources to assess environmental threats in rammed earth fortifications
Mónica Moreno Falcón, Rocío Calderón, Pilar Ortiz
Ge-conservacion (2022) Vol. 21, Iss. 1, pp. 309-328
Open Access | Times Cited: 4
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