Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 155

Showing 1-25 of 155 citing articles:

Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
Damien Sulla‐Menashe, Josh Gray, S. P. Abercrombie, et al.
Remote Sensing of Environment (2019) Vol. 222, pp. 183-194
Open Access | Times Cited: 638
Assimilation of remote sensing into crop growth models: Current status and perspectives
Jianxi Huang, José Gómez‐Dans, Hai Huang, et al.
Agricultural and Forest Meteorology (2019) Vol. 276-277, pp. 107609-107609
Open Access | Times Cited: 418
Harmonized global maps of above and belowground biomass carbon density in the year 2010
S. Spawn, Clare Sullivan, Tyler J. Lark, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 336
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
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154
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: 144
Stem–Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
Shichao Jin, Yanjun Su, Fangfang Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 3, pp. 1336-1346
Closed Access | Times Cited: 126
Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data
Wenlu Qi, Svetlana Saarela, John Armston, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111283-111283
Closed Access | Times Cited: 116
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
Qinghua Guo, Yanjun Su, Tianyu Hu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 232-257
Open Access | Times Cited: 113
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products
Yuzhen Zhang, Jun Ma, Shunlin Liang, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4015-4015
Open Access | Times Cited: 109
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
Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data
Wenlu Qi, Seung-Kuk Lee, Steven Hancock, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 621-634
Open Access | Times Cited: 101
Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment
Eduarda Martiniano de Oliveira Silveira, Sérgio Henrique Godinho Silva, Fausto Weimar Acérbi Júnior, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 78, pp. 175-188
Closed Access | Times Cited: 97
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
Lignin–Inorganic Interfaces: Chemistry and Applications from Adsorbents to Catalysts and Energy Storage Materials
Tetyana M. Budnyak, Adam Slabon, Mika H. Sipponen
ChemSusChem (2020) Vol. 13, Iss. 17, pp. 4344-4355
Open Access | Times Cited: 95
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example
Lana L. Narine, Sorin C. Popescu, Lonesome Malambo
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1824-1824
Open Access | Times Cited: 90
Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning
Lana L. Narine, Sorin C. Popescu, Lonesome Malambo
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1503-1503
Open Access | Times Cited: 85
Modeling of Aboveground Biomass with Landsat 8 OLI and Machine Learning in Temperate Forests
Pablito Marcelo López-Serrano, José Luis Cárdenas Domínguez, José Javier Corral‐Rivas, et al.
Forests (2019) Vol. 11, Iss. 1, pp. 11-11
Open Access | Times Cited: 79
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
Tianyu Hu, Yingying Zhang, Yanjun Su, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1690-1690
Open Access | Times Cited: 76
Comprehensive Evaluation of the ICESat-2 ATL08 Terrain Product
Xiangxi Tian, Jie Shan
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8195-8209
Closed Access | Times Cited: 76
Carbon cycling in mature and regrowth forests globally
Kristina J. Anderson‐Teixeira, Valentine Herrmann, Rebecca Banbury Morgan, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 053009-053009
Open Access | Times Cited: 76
Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel
Camile Sothe, Alemu Gonsamo, Ricardo Barros Lourenço, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5158-5158
Open Access | Times Cited: 48
Change Detection Techniques with Synthetic Aperture Radar Images: Experiments with Random Forests and Sentinel-1 Observations
Pietro Mastro, Guido Masiello, Carmine Serio, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3323-3323
Open Access | Times Cited: 44
Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years
Yongzhe Chen, Xiaoming Feng, Bojie Fu, et al.
Earth system science data (2023) Vol. 15, Iss. 2, pp. 897-910
Open Access | Times Cited: 41
A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images
Eleonóra Parelius Jonášová
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2092-2092
Open Access | Times Cited: 36
Page 1 - Next Page

Scroll to top