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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:

The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
R. Dubayah, J. B. Blair, S. J. Goetz, et al.
Science of Remote Sensing (2020) Vol. 1, pp. 100002-100002
Open Access | Times Cited: 876

Showing 1-25 of 876 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
Climate-driven risks to the climate mitigation potential of forests
William R. L. Anderegg, Anna T. Trugman, Grayson Badgley, et al.
Science (2020) Vol. 368, Iss. 6497
Closed Access | Times Cited: 587
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
Terrestrial laser scanning in forest ecology: Expanding the horizon
Kim Calders, Jennifer Adams, John Armston, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112102-112102
Open Access | Times Cited: 355
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
Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon
Yuanwei Qin, Xiangming Xiao, Jean‐Pierre Wigneron, et al.
Nature Climate Change (2021) Vol. 11, Iss. 5, pp. 442-448
Closed Access | Times Cited: 276
The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, et al.
Earth system science data (2021) Vol. 13, Iss. 8, pp. 3927-3950
Open Access | Times Cited: 264
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces
Angela Lausch, Michael E. Schaepman, Andrew K. Skidmore, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3690-3690
Open Access | Times Cited: 262
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Laura Duncanson, James R. Kellner, John Armston, et al.
Remote Sensing of Environment (2022) Vol. 270, pp. 112845-112845
Open Access | Times Cited: 259
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler, et al.
Nature Ecology & Evolution (2023) Vol. 7, Iss. 11, pp. 1778-1789
Open Access | Times Cited: 254
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112477-112477
Open Access | Times Cited: 241
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals
Aobo Liu, Xiao Cheng, Zhuoqi Chen
Remote Sensing of Environment (2021) Vol. 264, pp. 112571-112571
Open Access | Times Cited: 240
Global patterns and climatic controls of forest structural complexity
Martin Ehbrecht, Dominik Seidel, Peter Annighöfer, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 224
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California
Laura Duncanson, Amy Neuenschwander, Steven Hancock, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111779-111779
Open Access | Times Cited: 212
Integrating remote sensing with ecology and evolution to advance biodiversity conservation
Jeannine Cavender‐Bares, Fabian Schneider, Maria J. Santos, et al.
Nature Ecology & Evolution (2022) Vol. 6, Iss. 5, pp. 506-519
Closed Access | Times Cited: 198
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles
Nico Lang, Nikolai Kalischek, John Armston, et al.
Remote Sensing of Environment (2021) Vol. 268, pp. 112760-112760
Open Access | Times Cited: 183
Validation of ICESat-2 terrain and canopy heights in boreal forests
Amy Neuenschwander, Eric Guenther, Joanne C. White, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112110-112110
Open Access | Times Cited: 182
Vulnerability of global biodiversity hotspots to climate change
Brittany T. Trew, Ilya M. D. Maclean
Global Ecology and Biogeography (2021) Vol. 30, Iss. 4, pp. 768-783
Open Access | Times Cited: 174
Remote sensing of forest degradation: a review
Yan Gao, Margaret Skutsch, Jaime Paneque‐Gálvez, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 10, pp. 103001-103001
Open Access | Times Cited: 171
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping
Carlos Alberto Silva, Laura Duncanson, Steven Hancock, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112234-112234
Open Access | Times Cited: 171
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
Xiaoqiang Liu, Yanjun Su, Tianyu Hu, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112844-112844
Closed Access | Times Cited: 168
Detecting forest response to droughts with global observations of vegetation water content
Alexandra G. Konings, Sassan Saatchi, Christian Frankenberg, et al.
Global Change Biology (2021) Vol. 27, Iss. 23, pp. 6005-6024
Open Access | Times Cited: 151
GEDI launches a new era of biomass inference from space
R. Dubayah, John Armston, Sean P. Healey, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 9, pp. 095001-095001
Open Access | Times Cited: 137
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, et al.
Remote Sensing of Environment (2021) Vol. 268, pp. 112780-112780
Open Access | Times Cited: 125
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
Danilo Roberti Alves de Almeida, Eben N. Broadbent, Matheus Pinheiro Ferreira, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112582-112582
Open Access | Times Cited: 123
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