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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:

Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry
Andrew M. Cunliffe, Richard E. Brazier, Karen Anderson
Remote Sensing of Environment (2016) Vol. 183, pp. 129-143
Open Access | Times Cited: 328

Showing 1-25 of 328 citing articles:

Priority list of biodiversity metrics to observe from space
Andrew K. Skidmore, Nicholas C. Coops, Elnaz Neinavaz, et al.
Nature Ecology & Evolution (2021) Vol. 5, Iss. 7, pp. 896-906
Open Access | Times Cited: 195
When tree rings go global: Challenges and opportunities for retro- and prospective insight
Flurin Babst, Paul Bodesheim, Noah Charney, et al.
Quaternary Science Reviews (2018) Vol. 197, pp. 1-20
Open Access | Times Cited: 181
Location, location, location: considerations when using lightweight drones in challenging environments
James P. Duffy, Andrew M. Cunliffe, Leon DeBell, et al.
Remote Sensing in Ecology and Conservation (2017) Vol. 4, Iss. 1, pp. 7-19
Open Access | Times Cited: 180
Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries
Reason Mlambo, Iain Woodhouse, France Gerard, et al.
Forests (2017) Vol. 8, Iss. 3, pp. 68-68
Open Access | Times Cited: 176
A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone
Niko Viljanen, Eija Honkavaara, Roope Näsi, et al.
Agriculture (2018) Vol. 8, Iss. 5, pp. 70-70
Open Access | Times Cited: 171
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
A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV
Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Christoph Hütt, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 639-639
Open Access | Times Cited: 47
Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean
Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 2
Use of unmanned aerial vehicles for efficient beach litter monitoring
Cecilia Martin, Stephen Parkes, Qiannan Zhang, et al.
Marine Pollution Bulletin (2018) Vol. 131, pp. 662-673
Closed Access | Times Cited: 163
Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone
James P. Duffy, Laura R. Pratt, Karen Anderson, et al.
Estuarine Coastal and Shelf Science (2017) Vol. 200, pp. 169-180
Open Access | Times Cited: 162
Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle
María García-Fernández, Yuri Álvarez, Ana Arboleya, et al.
IEEE Access (2018) Vol. 6, pp. 45100-45112
Open Access | Times Cited: 159
A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications
Kunwar K. Singh, Amy E. Frazier
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5078-5098
Closed Access | Times Cited: 154
Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features
Roope Näsi, Niko Viljanen, Jere Kaivosoja, et al.
Remote Sensing (2018) Vol. 10, Iss. 7, pp. 1082-1082
Open Access | Times Cited: 146
Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes
Jakob J. Assmann, Jeffrey T. Kerby, Andrew M. Cunliffe, et al.
Journal of Unmanned Vehicle Systems (2018) Vol. 7, Iss. 1, pp. 54-75
Open Access | Times Cited: 142
Macroecology in the age of Big Data – Where to go from here?
Rafael O. Wüest, Niklaus E. Zimmermann, Damaris Zurell, et al.
Journal of Biogeography (2019) Vol. 47, Iss. 1, pp. 1-12
Open Access | Times Cited: 138
A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems
Lucy G. Poley, Gregory J. McDermid
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 120
Estimation of Grassland Canopy Height and Aboveground Biomass at the Quadrat Scale Using Unmanned Aerial Vehicle
Huifang Zhang, Yi Sun, Li Chang, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 851-851
Open Access | Times Cited: 119
Structure from motion will revolutionize analyses of tidal wetland landscapes
Margaret Kalácska, Gail L. Chmura, Oliver Lucanus, et al.
Remote Sensing of Environment (2017) Vol. 199, pp. 14-24
Open Access | Times Cited: 112
UAV Photogrammetry of Forests as a Vulnerable Process. A Sensitivity Analysis for a Structure from Motion RGB-Image Pipeline
Julian Frey, Kyle R. Kovach, Simon Stemmler, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 912-912
Open Access | Times Cited: 111
Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion
Michael Alonzo, Hans‐Erik Andersen, Douglas C. Morton, et al.
Forests (2018) Vol. 9, Iss. 3, pp. 119-119
Open Access | Times Cited: 110
Rapid Assessments of Amazon Forest Structure and Biomass Using Small Unmanned Aerial Systems
Max Messinger, Gregory P. Asner, Miles R. Silman
Remote Sensing (2016) Vol. 8, Iss. 8, pp. 615-615
Open Access | Times Cited: 109
Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging
Esther Grüner, Thomas Astor, M. Wachendorf
Agronomy (2019) Vol. 9, Iss. 2, pp. 54-54
Open Access | Times Cited: 106
Optimizing the Processing of UAV-Based Thermal Imagery
Wouter H. Maes, Alfredo Huete, Kathy Steppe
Remote Sensing (2017) Vol. 9, Iss. 5, pp. 476-476
Open Access | Times Cited: 105
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
Akash Ashapure, Jinha Jung, Anjin Chang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 180-194
Closed Access | Times Cited: 102
Evaluation of 3D point cloud-based models for the prediction of grassland biomass
Jayan Wijesingha, Thomas Moeckel, Frank Hensgen, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 78, pp. 352-359
Closed Access | Times Cited: 97
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