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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:

Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them
Maxime Réjou‐Méchain, Nicolas Barbier, Pierre Couteron, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 881-911
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Spatial validation reveals poor predictive performance of large-scale ecological mapping models
Pierre Ploton, Frédéric Mortier, Maxime Réjou‐Méchain, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 465
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: 351
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: 250
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: 233
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: 208
Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
Onisimo Mutanga, Anita Masenyama, Mbulisi Sibanda
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 297-309
Closed Access | Times Cited: 84
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps
Arnan Araza, Sytze de Bruin, Martin Herold, et al.
Remote Sensing of Environment (2022) Vol. 272, pp. 112917-112917
Open Access | Times Cited: 79
Aboveground biomass modeling using simulated Global Ecosystem Dynamics Investigation (GEDI) waveform LiDAR and forest inventories in Amazonian rainforests
Nadeem Fareed, Izaya Numata, Mark A. Cochrane, et al.
Forest Ecology and Management (2025) Vol. 578, pp. 122491-122491
Closed Access | Times Cited: 3
Spatial resolution for forest carbon maps
Laura Duncanson, Neha Hunka, Tommaso Jucker, et al.
Science (2025) Vol. 387, Iss. 6732, pp. 370-371
Closed Access | Times Cited: 2
Tackling unresolved questions in forest ecology: The past and future role of simulation models
Isabelle Maréchaux, Fanny Langerwisch, Andreas Huth, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 9, pp. 3746-3770
Open Access | Times Cited: 72
Estimation of tree height and aboveground biomass of coniferous forests in North China using stereo ZY-3, multispectral Sentinel-2, and DEM data
Yueting Wang, Xiaoli Zhang, Zhengqi Guo
Ecological Indicators (2021) Vol. 126, pp. 107645-107645
Open Access | Times Cited: 63
Past decade above-ground biomass change comparisons from four multi-temporal global maps
Arnan Araza, Martin Herold, Sytze de Bruin, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103274-103274
Open Access | Times Cited: 26
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
Hitendra Padalia, Ankit Prakash, Taibanganba Watham
Ecological Informatics (2023) Vol. 77, pp. 102234-102234
Closed Access | Times Cited: 22
Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications
Göran Ståhl, Terje Gobakken, Svetlana Saarela, et al.
Forest Ecosystems (2024) Vol. 11, pp. 100164-100164
Open Access | Times Cited: 9
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
SCARF: A new algorithm for continuous prediction of biomass dynamics using machine learning and Landsat time series
Yingchun Fu, Runhao Li, Zhe Zhu, et al.
Remote Sensing of Environment (2024) Vol. 314, pp. 114348-114348
Open Access | Times Cited: 9
Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
Biao Zhang, Zhichao Wang, Tiantian Ma, et al.
Ecological Informatics (2025), pp. 103045-103045
Open Access | Times Cited: 1
Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data
Luis Ángel Hernández-Martínez, Juan Manuel Dupuy, Alfonso Medel‐Narváez, et al.
Science of Remote Sensing (2025) Vol. 11, pp. 100204-100204
Open Access | Times Cited: 1
Selecting allometric equations to estimate forest biomass from plot- rather than individual-level predictive performance
Nicolas Picard, Noël Fonton, Faustin Boyemba Bosela, et al.
Biogeosciences (2025) Vol. 22, Iss. 5, pp. 1413-1426
Open Access | Times Cited: 1
Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling
Dezhi Wang, Bo Wan, Penghua Qiu, et al.
Remote Sensing (2019) Vol. 11, Iss. 18, pp. 2156-2156
Open Access | Times Cited: 61
Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data
José Luis Hernández‐Stefanoni, Miguel Santiago, Jean‐François Mas, et al.
Carbon Balance and Management (2020) Vol. 15, Iss. 1
Open Access | Times Cited: 55
Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations
Xiao Liu, C. S. R. Neigh, Matteo Pardini, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 9, pp. 3129-3148
Open Access | Times Cited: 6
Modeling Ambitions Outpace Observations of Forest Carbon Allocation
Flurin Babst, A. D. Friend, Maria Karamihalaki, et al.
Trends in Plant Science (2020) Vol. 26, Iss. 3, pp. 210-219
Closed Access | Times Cited: 47
The Forests of the Congo Basin: State of the Forests 2021
Eba'a Atyi R., Hiol Hiol F., G. Lescuyer
(2022)
Open Access | Times Cited: 26
Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities
Abdulhakim M. Abdi, Martin Brandt, Christin Abel, et al.
Journal of Remote Sensing (2022) Vol. 2022
Open Access | Times Cited: 24
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