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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:

Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
Göran Ståhl, Svetlana Saarela, Sebastian Schnell, et al.
Forest Ecosystems (2016) Vol. 3, Iss. 1
Open Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

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
Mapping forest change using stacked generalization: An ensemble approach
Sean P. Healey, Warren B. Cohen, Zhiqiang Yang, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 717-728
Open Access | Times Cited: 247
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
Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal
José Antonio Suárez Navarro, Nur Algeet, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 1, pp. 77-77
Open Access | Times Cited: 157
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
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
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
Use of partial-coverage UAV data in sampling for large scale forest inventories
Stefano Puliti, Liviu Theodor Ene, Terje Gobakken, et al.
Remote Sensing of Environment (2017) Vol. 194, pp. 115-126
Closed Access | Times Cited: 94
Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference
Qi Chen, Ronald E. McRoberts, Changwei Wang, et al.
Remote Sensing of Environment (2016) Vol. 184, pp. 350-360
Closed Access | Times Cited: 91
Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation
Paul L. Patterson, Sean P. Healey, Göran Ståhl, et al.
Environmental Research Letters (2019) Vol. 14, Iss. 6, pp. 065007-065007
Open Access | Times Cited: 90
Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data
Jéssica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1944-1944
Open Access | Times Cited: 88
Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation
Sean P. Healey, Zhiqiang Yang, Noel Gorelick, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2840-2840
Open Access | Times Cited: 75
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
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
Algorithm Theoretical Basis Document for GEDI Footprint Aboveground Biomass Density
James R. Kellner, John Armston, Laura Duncanson
Earth and Space Science (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 51
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 12
Testing temporal transferability of remote sensing models for large area monitoring
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100119-100119
Open Access | Times Cited: 9
A new approach for spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series
Luc Guindon, Francis Manka, David Correia, et al.
Canadian Journal of Forest Research (2024) Vol. 54, Iss. 7, pp. 793-815
Closed Access | Times Cited: 9
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
Spatial Distribution of Carbon Stored in Forests of the Democratic Republic of Congo
Liang Xu, Sassan Saatchi, Aurélie Shapiro, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 75
Hybrid estimators for mean aboveground carbon per unit area
Ronald E. McRoberts, Qi Chen, Grant M. Domke, et al.
Forest Ecology and Management (2016) Vol. 378, pp. 44-56
Closed Access | Times Cited: 74
Hierarchical model-based inference for forest inventory utilizing three sources of information
Svetlana Saarela, Sören Holm, Anton Grafström, et al.
Annals of Forest Science (2016) Vol. 73, Iss. 4, pp. 895-910
Open Access | Times Cited: 74
Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data
Liviu Theodor Ene, Erik Næsset, Terje Gobakken, et al.
Remote Sensing of Environment (2016) Vol. 188, pp. 106-117
Closed Access | Times Cited: 64
A comparison of UAV laser scanning, photogrammetry and airborne laser scanning for precision inventory of small-forest properties
Stefano Puliti, Jonathan P. Dash, Michael S. Watt, et al.
Forestry An International Journal of Forest Research (2019) Vol. 93, Iss. 1, pp. 150-162
Closed Access | Times Cited: 58
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