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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:

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: 138

Showing 1-25 of 138 citing articles:

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Jingfeng Xiao, Frédéric Chevallier, Cécile Gomez, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111383-111383
Open Access | Times Cited: 492
Changes in global terrestrial live biomass over the 21st century
Liang Xu, Sassan Saatchi, Yan Yang, et al.
Science Advances (2021) Vol. 7, Iss. 27, pp. eabe9829-eabe9829
Open Access | Times Cited: 249
An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR
Alexandre Bouvet, Stéphane Mermoz, Thuy Le Toan, et al.
Remote Sensing of Environment (2017) Vol. 206, pp. 156-173
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
Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal
Paul I. Palmer, Liang Feng, D. F. Baker, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 170
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: 165
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: 145
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
Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Lei Tian, Xiaocan Wu, Tao Yu, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 73
Quantifying Forest Biomass Carbon Stocks From Space
Pedro Rodríguez‐Veiga, James Wheeler, Valentin Louis, et al.
Current Forestry Reports (2017) Vol. 3, Iss. 1, pp. 1-18
Open Access | Times Cited: 142
SAR-based detection of flooded vegetation – a review of characteristics and approaches
Viktoriya Tsyganskaya, Sandro Martinis, Philip Marzahn, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 8, pp. 2255-2293
Closed Access | Times Cited: 140
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
Gaia Vaglio Laurin, Johannes Balling, Piermaria Corona, et al.
Journal of Applied Remote Sensing (2018) Vol. 12, Iss. 01, pp. 1-1
Open Access | Times Cited: 136
Detection of Temporary Flooded Vegetation Using Sentinel-1 Time Series Data
Viktoriya Tsyganskaya, Sandro Martinis, Philip Marzahn, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1286-1286
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
Forest biomass retrieval approaches from earth observation in different biomes
Pedro Rodríguez‐Veiga, S. Quegan, João M. B. Carreiras, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 77, pp. 53-68
Open Access | Times Cited: 96
Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery
Mariano Garcı́a, Sassan Saatchi, Susan L. Ustin, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 66, pp. 159-173
Open Access | Times Cited: 94
Above-Ground Biomass Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS
Hugo Carreño-Luengo, Guido Luzi, Michele Crosetto
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1368-1368
Open Access | Times Cited: 92
Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations
Maurizio Santoro, Oliver Cartus
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 608-608
Open Access | Times Cited: 83
Estimating aboveground biomass in subtropical forests of China by integrating multisource remote sensing and ground data
Rong Zhang, Xuhui Zhou, Zutao Ouyang, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111341-111341
Closed Access | Times Cited: 78
The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions
Temilola Fatoyinbo, John Armston, Marc Simard, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112533-112533
Open Access | Times Cited: 60
Seeing the System from Above: The Use and Potential of Remote Sensing for Studying Ecosystem Dynamics
Cornelius Senf
Ecosystems (2022) Vol. 25, Iss. 8, pp. 1719-1737
Open Access | Times Cited: 42
Continuous mapping of aboveground biomass using Landsat time series
Paulo Arévalo, Alessandro Baccini, Curtis E. Woodcock, et al.
Remote Sensing of Environment (2023) Vol. 288, pp. 113483-113483
Open Access | Times Cited: 27
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
Development of forest aboveground biomass estimation, its problems and future solutions: A review
Taiyong Ma, Chao Zhang, Liping Ji, et al.
Ecological Indicators (2024) Vol. 159, pp. 111653-111653
Open Access | Times Cited: 13
Forest Aboveground Biomass and Forest Height Estimation Over a Sub-tropical Forest Using Machine Learning Algorithm and Synthetic Aperture Radar Data
Noman Ali, Unmesh Khati
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 4, pp. 771-786
Closed Access | Times Cited: 8
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