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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:

Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR
C. S. R. Neigh, Ross Nelson, K.J. Ranson, et al.
Remote Sensing of Environment (2013) Vol. 137, pp. 274-287
Open Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Boreal forest health and global change
Sylvie Gauthier, Pierre Y. Bernier, Timo Kuuluvainen, et al.
Science (2015) Vol. 349, Iss. 6250, pp. 819-822
Closed Access | Times Cited: 1003
Dependence of the evolution of carbon dynamics in the northern permafrost region on the trajectory of climate change
A. David McGuire, David M. Lawrence, Charles D. Koven, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 15, pp. 3882-3887
Open Access | Times Cited: 513
The ATL08 land and vegetation product for the ICESat-2 Mission
Amy Neuenschwander, K. Pitts
Remote Sensing of Environment (2018) Vol. 221, pp. 247-259
Closed Access | Times Cited: 377
Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
Jan U.H. Eitel, Bernhard Höfle, Lee A. Vierling, et al.
Remote Sensing of Environment (2016) Vol. 186, pp. 372-392
Open Access | Times Cited: 286
Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2018) Vol. 209, pp. 90-106
Open Access | Times Cited: 244
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
Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data
Yanjun Su, Qinghua Guo, Baolin Xue, et al.
Remote Sensing of Environment (2015) Vol. 173, pp. 187-199
Open Access | Times Cited: 228
Carbon loss from boreal forest wildfires offset by increased dominance of deciduous trees
Michelle C. Mack, Xanthe J. Walker, Jill F. Johnstone, et al.
Science (2021) Vol. 372, Iss. 6539, pp. 280-283
Closed Access | Times Cited: 221
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: 185
The Importance of Consistent Global Forest Aboveground Biomass Product Validation
Laura Duncanson, John Armston, Mathias Disney, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 979-999
Open Access | Times Cited: 163
Disturbance suppresses the aboveground carbon sink in North American boreal forests
Jonathan Wang, Alessandro Baccini, Mary Farina, et al.
Nature Climate Change (2021) Vol. 11, Iss. 5, pp. 435-441
Closed Access | Times Cited: 119
Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR
Maurizio Santoro, André Beaudoin, Christian Beer, et al.
Remote Sensing of Environment (2015) Vol. 168, pp. 316-334
Closed Access | Times Cited: 175
Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+
S. J. Goetz, Matthew C. Hansen, R. A. Houghton, et al.
Environmental Research Letters (2015) Vol. 10, Iss. 12, pp. 123001-123001
Open Access | Times Cited: 160
Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data
Sorin C. Popescu, Tan Zhou, R. Nelson, et al.
Remote Sensing of Environment (2018) Vol. 208, pp. 154-170
Closed Access | Times Cited: 159
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data
Tianyu Hu, Yanjun Su, Baolin Xue, et al.
Remote Sensing (2016) Vol. 8, Iss. 7, pp. 565-565
Open Access | Times Cited: 156
Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference
Stefano Puliti, Svetlana Saarela, Terje Gobakken, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 485-497
Closed Access | Times Cited: 142
Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests
Yifan Yu, Sassan Saatchi
Remote Sensing (2016) Vol. 8, Iss. 6, pp. 522-522
Open Access | Times Cited: 139
The role of remote sensing in process-scaling studies of managed forest ecosystems
Jeffrey G. Masek, Daniel J. Hayes, M. Joseph Hughes, et al.
Forest Ecology and Management (2015) Vol. 355, pp. 109-123
Open Access | Times Cited: 127
Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data
Lana L. Narine, Sorin C. Popescu, Amy Neuenschwander, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 1-11
Closed Access | Times Cited: 121
Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America
Hank A. Margolis, Ross Nelson, Paul Montesano, et al.
Canadian Journal of Forest Research (2015) Vol. 45, Iss. 7, pp. 838-855
Closed Access | Times Cited: 108
Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations
Ross Nelson, Hank A. Margolis, Paul Montesano, et al.
Remote Sensing of Environment (2016) Vol. 188, pp. 127-140
Open Access | Times Cited: 108
Coverage of high biomass forests by the ESA BIOMASS mission under defense restrictions
João M. B. Carreiras, S. Quegan, Thuy Le Toan, et al.
Remote Sensing of Environment (2017) Vol. 196, pp. 154-162
Open Access | Times Cited: 105
Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone
B. N. Duncan, Lesley Ott, James B. Abshire, et al.
Reviews of Geophysics (2019) Vol. 58, Iss. 1
Open Access | Times Cited: 88
Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects
Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, et al.
Forests (2015) Vol. 6, Iss. 1, pp. 252-270
Open Access | Times Cited: 82
Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data
Svetlana Saarela, Sören Holm, Sean P. Healey, et al.
Remote Sensing (2018) Vol. 10, Iss. 11, pp. 1832-1832
Open Access | Times Cited: 76
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