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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:

High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials
Ramón Alberto Díaz Varela, Raúl de la Rosa, Lorenzo León, et al.
Remote Sensing (2015) Vol. 7, Iss. 4, pp. 4213-4232
Open Access | Times Cited: 297

Showing 26-50 of 297 citing articles:

The advantages of using drones over space-borne imagery in the mapping of mangrove forests
Monika Ruwaimana, Behara Satyanarayana, Viviana Otero, et al.
PLoS ONE (2018) Vol. 13, Iss. 7, pp. e0200288-e0200288
Open Access | Times Cited: 132
Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards
Jorge Torres‐Sánchez, Francisca López Granados, Irene Borra‐Serrano, et al.
Precision Agriculture (2017) Vol. 19, Iss. 1, pp. 115-133
Closed Access | Times Cited: 128
UAV-Based Oblique Photogrammetry for Outdoor Data Acquisition and Offsite Visual Inspection of Transmission Line
San Jiang, Wanshou Jiang, Wei Huang, et al.
Remote Sensing (2017) Vol. 9, Iss. 3, pp. 278-278
Open Access | Times Cited: 121
Spray and economics assessment of a UAV-based ultra-low-volume application in olive and citrus orchards
Jorge Martínez-Guanter, Pablo Agüera, Juan Agüera Vega, et al.
Precision Agriculture (2019) Vol. 21, Iss. 1, pp. 226-243
Closed Access | Times Cited: 114
Mobile terrestrial laser scanner applications in precision fruticulture/horticulture and tools to extract information from canopy point clouds
Alexandre Escolà, José A. Martínez‐Casasnovas, J. Rufat, et al.
Precision Agriculture (2016) Vol. 18, Iss. 1, pp. 111-132
Closed Access | Times Cited: 113
Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling
Francisco Manuel Jiménez-Brenes, Francisca López Granados, Ana Isabel de Castro, et al.
Plant Methods (2017) Vol. 13, Iss. 1
Open Access | Times Cited: 113
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations
Juan Guerra-Hernández, Diogo Nepomuceno Cosenza, Luiz Carlos Estraviz Rodriguez, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5211-5235
Closed Access | Times Cited: 113
Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
Tao Duan, Bangyou Zheng, Wei Guo, et al.
Functional Plant Biology (2016) Vol. 44, Iss. 1, pp. 169-169
Closed Access | Times Cited: 108
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches
Chenglong Zhang, João Valente, Lammert Kooistra, et al.
Precision Agriculture (2021) Vol. 22, Iss. 6, pp. 2007-2052
Open Access | Times Cited: 105
Monitoring opencast mine restorations using Unmanned Aerial System (UAS) imagery
Joan-Cristian Padró, Vicenç Carabassa, Jaume Balagué, et al.
The Science of The Total Environment (2018) Vol. 657, pp. 1602-1614
Open Access | Times Cited: 104
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
Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects
Kasper Johansen, Tri Raharjo, Matthew F. McCabe
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 854-854
Open Access | Times Cited: 99
UAS-Based Plant Phenotyping for Research and Breeding Applications
Wei Guo, Matthew E. Carroll, Arti Singh, et al.
Plant Phenomics (2021) Vol. 2021
Open Access | Times Cited: 95
Classification of soybean leaf wilting due to drought stress using UAV-based imagery
Jing Zhou, Jianfeng Zhou, Heng Ye, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105576-105576
Closed Access | Times Cited: 93
Mapping the 3D structure of almond trees using UAV acquired photogrammetric point clouds and object-based image analysis
Jorge Torres‐Sánchez, Ana Isabel de Castro, José M. Peña, et al.
Biosystems Engineering (2018) Vol. 176, pp. 172-184
Closed Access | Times Cited: 92
Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges
André Freitas Colaço, José Paulo Molin, Joan R. Rosell-Polo, et al.
Horticulture Research (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 91
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence
Yiannis Ampatzidis, Victor Partel, Bo Meyering, et al.
Computers and Electronics in Agriculture (2019) Vol. 164, pp. 104900-104900
Open Access | Times Cited: 91
Optimising drone flight planning for measuring horticultural tree crop structure
Yu-Hsuan Tu, Stuart Phinn, Kasper Johansen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 160, pp. 83-96
Closed Access | Times Cited: 91
Phenotypic techniques and applications in fruit trees: a review
Yirui Huang, Zhenhui Ren, Dongming Li, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 87
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
Greenness Indices from a Low-Cost UAV Imagery as Tools for Monitoring Post-Fire Forest Recovery
Asier R. Larrinaga, Lluı́s Brotons
Drones (2019) Vol. 3, Iss. 1, pp. 6-6
Open Access | Times Cited: 81
High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes
Giovanni Caruso, Pablo J. Zarco‐Tejada, V. González-Dugo, et al.
PLoS ONE (2019) Vol. 14, Iss. 1, pp. e0210804-e0210804
Open Access | Times Cited: 79
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models
Roghieh Eskandari, Masoud Mahdianpari, Fariba Mohammadimanesh, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3511-3511
Open Access | Times Cited: 78
Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree)
Mohsen Hosseinalizadeh, Narges Kariminejad, Wei Chen, et al.
Geomorphology (2019) Vol. 329, pp. 184-193
Closed Access | Times Cited: 77
Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
Rui Xu, Changying Li, Andrew H. Paterson
PLoS ONE (2019) Vol. 14, Iss. 2, pp. e0205083-e0205083
Open Access | Times Cited: 77

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