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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:

Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
Peter Potapov, Matthew C. Hansen, Indrani Kommareddy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 426-426
Open Access | Times Cited: 239

Showing 1-25 of 239 citing articles:

Mapping global forest canopy height through integration of GEDI and Landsat data
Peter Potapov, Xinyuan Li, Andrés Hernández-Serna, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112165-112165
Open Access | Times Cited: 927
Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century
Peter Potapov, Svetlana Turubanova, Matthew C. Hansen, et al.
Nature Food (2021) Vol. 3, Iss. 1, pp. 19-28
Open Access | Times Cited: 626
A 30 m global map of elevation with forests and buildings removed
Laurence Hawker, Peter Uhe, Luntadila Paulo, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 2, pp. 024016-024016
Open Access | Times Cited: 389
The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results
Peter Potapov, Matthew C. Hansen, Amy Pickens, et al.
Frontiers in Remote Sensing (2022) Vol. 3
Open Access | Times Cited: 325
Massive soybean expansion in South America since 2000 and implications for conservation
Xiao‐Peng Song, Matthew C. Hansen, Peter Potapov, et al.
Nature Sustainability (2021) Vol. 4, Iss. 9, pp. 784-792
Open Access | Times Cited: 311
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 259
Global Trends of Forest Loss Due to Fire From 2001 to 2019
Alexandra Tyukavina, Peter Potapov, Matthew C. Hansen, et al.
Frontiers in Remote Sensing (2022) Vol. 3
Open Access | Times Cited: 233
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
Mohammadali Hemati, Mahdi Hasanlou, Masoud Mahdianpari, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2869-2869
Open Access | Times Cited: 156
Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0
Han Liu, Peng Gong, Jie Wang, et al.
Remote Sensing of Environment (2021) Vol. 258, pp. 112364-112364
Open Access | Times Cited: 137
From local to regional compound flood mapping with deep learning and data fusion techniques
David F. Muñoz, Paúl Muñoz, Hamed Moftakhari, et al.
The Science of The Total Environment (2021) Vol. 782, pp. 146927-146927
Open Access | Times Cited: 125
Rapid expansion of human impact on natural land in South America since 1985
Viviana Zalles, Matthew C. Hansen, Peter Potapov, et al.
Science Advances (2021) Vol. 7, Iss. 14
Closed Access | Times Cited: 115
Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
Ghada Sahbeni, Maurice Ngabire, Peter K. Musyimi, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2540-2540
Open Access | Times Cited: 65
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Haijun Li, Xiao‐Peng Song, Matthew C. Hansen, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113623-113623
Closed Access | Times Cited: 57
Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Volker C. Radeloff, David P. Roy, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 300, pp. 113918-113918
Open Access | Times Cited: 55
Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model
Fabien Wagner, Sophia Roberts, Alison L. Ritz, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114099-114099
Open Access | Times Cited: 22
Deep artificial intelligence applications for natural disaster management systems: A methodological review
Akhyar Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, et al.
Ecological Indicators (2024) Vol. 163, pp. 112067-112067
Open Access | Times Cited: 19
Global land use extent and dispersion within natural land cover using Landsat data
Matthew C. Hansen, Peter Potapov, Amy Pickens, et al.
Environmental Research Letters (2021) Vol. 17, Iss. 3, pp. 034050-034050
Open Access | Times Cited: 95
Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory
Andrew J. Lister, Hans Henrik Andersen, Tracey S. Frescino, et al.
Forests (2020) Vol. 11, Iss. 12, pp. 1364-1364
Open Access | Times Cited: 75
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation
David F. Muñoz, Peyman Abbaszadeh, Hamed Moftakhari, et al.
Coastal Engineering (2021) Vol. 171, pp. 104057-104057
Closed Access | Times Cited: 70
Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development
Jens Christian Refsgaard, Simon Stisen, Julian Koch
Hydrological Processes (2021) Vol. 36, Iss. 1
Closed Access | Times Cited: 64
Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images
Dmitry E. Kislov, Kirill A. Korznikov, Jan Altman, et al.
Remote Sensing in Ecology and Conservation (2021) Vol. 7, Iss. 3, pp. 355-368
Open Access | Times Cited: 62
Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat
Stefano Puliti, Johannes Breidenbach, Johannes Schumacher, et al.
Remote Sensing of Environment (2021) Vol. 265, pp. 112644-112644
Open Access | Times Cited: 60
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
PeerJ (2022) Vol. 10, pp. e13728-e13728
Open Access | Times Cited: 59
Satellite Observations and Malaria: New Opportunities for Research and Applications
Michael C. Wimberly, Kirsten M. de Beurs, Tatiana Loboda, et al.
Trends in Parasitology (2021) Vol. 37, Iss. 6, pp. 525-537
Open Access | Times Cited: 58
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
Eduarda Martiniano de Oliveira Silveira, Volker C. Radeloff, Sebastián Martinuzzi, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113391-113391
Open Access | Times Cited: 53
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