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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:

Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest
Maxime Réjou‐Méchain, Blaise Tymen, Lilian Blanc, et al.
Remote Sensing of Environment (2015) Vol. 169, pp. 93-101
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

biomass: an r package for estimating above‐ground biomass and its uncertainty in tropical forests
Maxime Réjou‐Méchain, Ariane Tanguy, Camille Piponiot, et al.
Methods in Ecology and Evolution (2017) Vol. 8, Iss. 9, pp. 1163-1167
Open Access | Times Cited: 350
Topography shapes the structure, composition and function of tropical forest landscapes
Tommaso Jucker, Boris Bongalov, David F. R. P. Burslem, et al.
Ecology Letters (2018) Vol. 21, Iss. 7, pp. 989-1000
Open Access | Times Cited: 308
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: 284
Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Kaiguang Zhao, Juan Carlos Pinilla Suárez, Mariano Garcı́a, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 883-897
Closed Access | Times Cited: 221
Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data
David A. Coomes, Michele Dalponte, Tommaso Jucker, et al.
Remote Sensing of Environment (2017) Vol. 194, pp. 77-88
Open Access | Times Cited: 174
Body size determines soil community assembly in a tropical forest
Lucie Zinger, Pierre Taberlet, Heidy Schimann, et al.
Molecular Ecology (2018) Vol. 28, Iss. 3, pp. 528-543
Open Access | Times Cited: 167
Plant growth: the What, the How, and the Why
Jonas Hilty, Bertrand Muller, Florent Pantin, et al.
New Phytologist (2021) Vol. 232, Iss. 1, pp. 25-41
Closed Access | Times Cited: 114
SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana
Dinh Ho Tong Minh, Thuy Le Toan, F. Rocca, et al.
Remote Sensing of Environment (2016) Vol. 175, pp. 138-147
Open Access | Times Cited: 149
Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon
Marcos Longo, Michael Keller, M. N. dos-Santos, et al.
Global Biogeochemical Cycles (2016) Vol. 30, Iss. 11, pp. 1639-1660
Open Access | Times Cited: 148
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
Jean‐Baptiste Féret, Guerric Le Maire, Sylvain Jay, et al.
Remote Sensing of Environment (2018) Vol. 231, pp. 110959-110959
Open Access | Times Cited: 147
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
James R. Kellner, John Armston, Markus Birrer, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 959-977
Open Access | Times Cited: 138
Airborne lidar change detection: An overview of Earth sciences applications
U. Okyay, J. W. Telling, Craig Glennie, et al.
Earth-Science Reviews (2019) Vol. 198, pp. 102929-102929
Closed Access | Times Cited: 130
Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps: A comparison of estimated precision
Erik Næsset, Hans Ole Ørka, Svein Solberg, et al.
Remote Sensing of Environment (2016) Vol. 175, pp. 282-300
Closed Access | Times Cited: 109
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
El Niño drought increased canopy turnover in Amazon forests
Veronika Leitold, Douglas C. Morton, Marcos Longo, et al.
New Phytologist (2018) Vol. 219, Iss. 3, pp. 959-971
Open Access | Times Cited: 95
Reduced-impact logging for climate change mitigation (RIL-C) can halve selective logging emissions from tropical forests
Peter W. Ellis, Trisha Gopalakrishna, Rosa C. Goodman, et al.
Forest Ecology and Management (2019) Vol. 438, pp. 255-266
Open Access | Times Cited: 89
Evidence for arrested succession in a liana‐infested Amazonian forest
Blaise Tymen, Maxime Réjou‐Méchain, James W. Dalling, et al.
Journal of Ecology (2015) Vol. 104, Iss. 1, pp. 149-159
Open Access | Times Cited: 87
An individual‐based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications
Isabelle Maréchaux, Jérôme Chave
Ecological Monographs (2017) Vol. 87, Iss. 4, pp. 632-664
Closed Access | Times Cited: 84
Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries
Pierre Ploton, Nicolas Barbier, Stéphane Momo Takoudjou, et al.
Biogeosciences (2016) Vol. 13, Iss. 5, pp. 1571-1585
Open Access | Times Cited: 82
Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning
Tommaso Jucker, Gregory P. Asner, Michele Dalponte, et al.
Biogeosciences (2018) Vol. 15, Iss. 12, pp. 3811-3830
Open Access | Times Cited: 66
In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions
Nicolas Labrière, Shengli Tao, Jérôme Chave, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 10, pp. 3617-3627
Open Access | Times Cited: 65
Toward a general tropical forest biomass prediction model from very high resolution optical satellite images
Pierre Ploton, Nicolas Barbier, Pierre Couteron, et al.
Remote Sensing of Environment (2017) Vol. 200, pp. 140-153
Open Access | Times Cited: 63
Characterizing forest carbon dynamics using multi-temporal lidar data
Michele Dalponte, Tommaso Jucker, Sicong Liu, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 412-420
Closed Access | Times Cited: 57
Estimating Changes in Forest Attributes and Enhancing Growth Projections: a Review of Existing Approaches and Future Directions Using Airborne 3D Point Cloud Data
Piotr Tompalski, Nicholas C. Coops, Joanne C. White, et al.
Current Forestry Reports (2021) Vol. 7, Iss. 1, pp. 1-24
Open Access | Times Cited: 55
Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone
Lynsay Spafford, Guerric Le Maire, Andrew H. MacDougall, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112176-112176
Closed Access | Times Cited: 52
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