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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:

Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland
Daud Kachamba, Hans Ole Ørka, Terje Gobakken, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 968-968
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Structure from Motion Photogrammetry in Forestry: a Review
Jakob Iglhaut, Carlos Çabo, Stefano Puliti, et al.
Current Forestry Reports (2019) Vol. 5, Iss. 3, pp. 155-168
Open Access | Times Cited: 457
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
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping
Lei Feng, Shuangshuang Chen, Chu Zhang, et al.
Computers and Electronics in Agriculture (2021) Vol. 182, pp. 106033-106033
Closed Access | Times Cited: 156
Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery
Yaxiao Niu, Liyuan Zhang, Huihui Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1261-1261
Open Access | Times Cited: 150
Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances
Emmanuel Omia, Hyungjin Bae, Eunsung Park, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 354-354
Open Access | Times Cited: 121
UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications
Midhun Mohan, Gabriella Richardson, Gopika Gopan, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2596-2596
Open Access | Times Cited: 115
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications
Tianyu Hu, Xiliang Sun, Yanjun Su, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 77-77
Open Access | Times Cited: 129
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
UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health
Jonathan P. Dash, Grant D. Pearse, Michael S. Watt
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1216-1216
Open Access | Times Cited: 114
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
Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands
Juan Guerra-Hernández, Eduardo González‐Ferreiro, Vicente J. Monleón, et al.
Forests (2017) Vol. 8, Iss. 8, pp. 300-300
Open Access | Times Cited: 103
A new approach with DTM-independent metrics for forest growing stock prediction using UAV photogrammetric data
Francesca Giannetti, Gherardo Chirici, Terje Gobakken, et al.
Remote Sensing of Environment (2018) Vol. 213, pp. 195-205
Closed Access | Times Cited: 102
Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle
Sumesh K.C., Sarawut Ninsawat, Jaturong Som-ard
Computers and Electronics in Agriculture (2020) Vol. 180, pp. 105903-105903
Closed Access | Times Cited: 85
Comparison of leaf-off and leaf-on combined UAV imagery and airborne LiDAR for assessment of a post-mining site terrain and vegetation structure: Prospects for monitoring hazards and restoration success
Vítězslav Moudrý, Kateřina Gdulová, Michal Fogl, et al.
Applied Geography (2019) Vol. 104, pp. 32-41
Closed Access | Times Cited: 79
Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests
Zhong Xu, Xin Shen, Lin Cao, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102173-102173
Open Access | Times Cited: 73
Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds
Petr Klápště, Michal Fogl, Vojtěch Barták, et al.
International Journal of Digital Earth (2020) Vol. 13, Iss. 12, pp. 1672-1694
Closed Access | Times Cited: 66
AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)
Víctor González-Jaramillo, Andreas Fries, Jörg Bendix
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1413-1413
Open Access | Times Cited: 61
Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape
Andrew M. Cunliffe, Jakob J. Assmann, Gergana N. Daskalova, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 12, pp. 125004-125004
Open Access | Times Cited: 60
Forest Structure Estimation from a UAV-Based Photogrammetric Point Cloud in Managed Temperate Coniferous Forests
Tetsuji Ota, Miyuki Ogawa, Nobuya Mizoue, et al.
Forests (2017) Vol. 8, Iss. 9, pp. 343-343
Open Access | Times Cited: 59
The use of fixed–wing UAV photogrammetry with LiDAR DTM to estimate merchantable volume and carbon stock in living biomass over a mixed conifer–broadleaf forest
Sadeepa Jayathunga, Toshiaki Owari, Satoshi Tsuyuki
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 767-777
Closed Access | Times Cited: 59
Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland
Darío Domingo, Hans Ole Ørka, Erik Næsset, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 948-948
Open Access | Times Cited: 54
UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?
Martin B. Bagaram, Diego Giuliarelli, Gherardo Chirici, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1397-1397
Open Access | Times Cited: 50
UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?
Martin B. Bagaram, Diego Giuliarelli, Gherardo Chirici, et al.
(2018)
Open Access | Times Cited: 48
Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review
Peter Surový, Karel Kuželka
Forests (2019) Vol. 10, Iss. 3, pp. 273-273
Open Access | Times Cited: 44
Drones as a tool to monitor human impacts and vegetation changes in parks and protected areas
Francisco Javier Ancin‐Murguzur, Lorena Muñoz, Christopher Monz, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 6, Iss. 1, pp. 105-113
Open Access | Times Cited: 44
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