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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:

UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?
Jiří Prošek, Petra Šímová
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 75, pp. 151-162
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox
Giandomenico De Luca, João M. N. Silva, Sofia Cerasoli, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1238-1238
Open Access | Times Cited: 121
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes
Aleksi Räsänen, Tarmo Virtanen
Remote Sensing of Environment (2019) Vol. 230, pp. 111207-111207
Closed Access | Times Cited: 117
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
Giuseppe Modica, Gaetano Messina, Giandomenico De Luca, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105500-105500
Closed Access | Times Cited: 86
Detection of Aquatic Plants Using Multispectral UAV Imagery and Vegetation Index
Bong-Geun Song, Kyunghun Park
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 387-387
Open Access | Times Cited: 74
Biomass and vegetation coverage survey in the Mu Us sandy land - based on unmanned aerial vehicle RGB images
Zichen Guo, Tao Wang, Shulin Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 94, pp. 102239-102239
Open Access | Times Cited: 61
Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: a case study in a citrus orchard and an onion crop
Giuseppe Modica, Giandomenico De Luca, Gaetano Messina, et al.
European Journal of Remote Sensing (2021) Vol. 54, Iss. 1, pp. 431-460
Open Access | Times Cited: 56
UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland
Yujin Zhao, Xiaoliang Liu, Yang Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102358-102358
Open Access | Times Cited: 47
Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images
Mohamed Barakat A. Gibril, Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2787-2787
Open Access | Times Cited: 42
Detecting northern peatland vegetation patterns at ultra‐high spatial resolution
Aleksi Räsänen, Mika Aurela, Sari Juutinen, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 6, Iss. 4, pp. 457-471
Open Access | Times Cited: 52
Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation
Vítězslav Moudrý, Petr Klápště, Michal Fogl, et al.
Measurement (2019) Vol. 150, pp. 107047-107047
Closed Access | Times Cited: 48
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Farhad Samadzadegan, Ahmad Toosi, Farzaneh Dadrass Javan
International Journal of Remote Sensing (2024), pp. 1-76
Open Access | Times Cited: 6
CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models by tree features
Arvin Fakhri, Hooman Latifi, Kyumars Mohammadi Samani, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 279-295
Closed Access | Times Cited: 5
Investigating the impact of classification features and classifiers on crop mapping performance in heterogeneous agricultural landscapes
Huanxue Zhang, Yuji Wang, Jiali Shang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102388-102388
Open Access | Times Cited: 29
Unmanned Aircraft System Photogrammetry for Mapping Diverse Vegetation Species in a Heterogeneous Coastal Wetland
Sara Denka Durgan, Caiyun Zhang, Aaron Duecaster, et al.
Wetlands (2020) Vol. 40, Iss. 6, pp. 2621-2633
Closed Access | Times Cited: 28
Monitoring post-fire neighborhood competition effects on pine saplings under different environmental conditions by means of UAV multispectral data and structure-from-motion photogrammetry
José Manuel Fernández‐Guisuraga, Leonor Calvo, Susana Suárez‐Seoane
Journal of Environmental Management (2021) Vol. 305, pp. 114373-114373
Closed Access | Times Cited: 26
Using UAV Imagery to Detect and Map Woody Species Encroachment in a Subalpine Grassland: Advantages and Limits
Ludovica Oddi, Edoardo Cremonese, Lorenzo Ascari, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1239-1239
Open Access | Times Cited: 25
An Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened Very High Spatial Resolution Satellite Imagery
Martina Deur, Mateo Gašparović, Ivan Balenović
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1868-1868
Open Access | Times Cited: 25
Urban green space vegetation height modeling and intelligent classification based on UAV multi-spectral and oblique high-resolution images
Ronghua Li, Zhican Bai, Chao Ye, et al.
Urban forestry & urban greening (2025), pp. 128785-128785
Open Access
Integration of hyperspectral and LiDAR data for mapping small water bodies
Jiří Prošek, Kateřina Gdulová, Vojtěch Barták, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102181-102181
Open Access | Times Cited: 26
Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles
José Eduardo Fuentes, Francisco David Moya Chaves, Oscar Danilo Montoya
Electronics (2020) Vol. 9, Iss. 12, pp. 2144-2144
Open Access | Times Cited: 25
Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European tundra
Lucie Kupková, Lucie Červená, Markéta Potůčková, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113645-113645
Closed Access | Times Cited: 9
The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions
Aleksandra Tomczyk, Marek Ewertowski, Noah Creany, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103474-103474
Open Access | Times Cited: 9
Enhancing precision in coastal dunes vegetation mapping: ultra-high resolution hierarchical classification at the individual plant level
Elena Belcore, Melissa Latella, Marco Piras, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 13, pp. 4527-4552
Open Access | Times Cited: 3
Integrating UAV imagery and machine learning via Geographic Object Based Image Analysis (GEOBIA) for enhanced monitoring of Yucca gloriosa in Mediterranean coastal dunes
Elena Cini, Flavio Marzialetti, Marco Paterni, et al.
Ocean & Coastal Management (2024) Vol. 258, pp. 107377-107377
Open Access | Times Cited: 3
Evaluation of a high resolution UAV imagery model for rooftop solar irradiation estimates
Vítězslav Moudrý, Anna Beková, Ondřej Lagner
Remote Sensing Letters (2019) Vol. 10, Iss. 11, pp. 1077-1085
Closed Access | Times Cited: 24
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