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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 1-25 of 297 citing articles:

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
Wouter H. Maes, Kathy Steppe
Trends in Plant Science (2018) Vol. 24, Iss. 2, pp. 152-164
Closed Access | Times Cited: 724
Image-based surface reconstruction in geomorphometry – merits, limits and developments
Anette Eltner, Andreas Kaiser, Carlos Castillo, et al.
Earth Surface Dynamics (2016) Vol. 4, Iss. 2, pp. 359-389
Open Access | Times Cited: 512
A review of data assimilation of remote sensing and crop models
Xiuliang Jin, Lalit Kumar, Zhenhai Li, et al.
European Journal of Agronomy (2017) Vol. 92, pp. 141-152
Closed Access | Times Cited: 451
Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery
Xiuliang Jin, Shouyang Liu, Frédéric Baret, et al.
Remote Sensing of Environment (2017) Vol. 198, pp. 105-114
Open Access | Times Cited: 387
Drones in agriculture: A review and bibliometric analysis
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107017-107017
Open Access | Times Cited: 372
Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data
Zhen Zhen, Lindi J. Quackenbush, Lianjun Zhang
Remote Sensing (2016) Vol. 8, Iss. 4, pp. 333-333
Open Access | Times Cited: 309
Determining tree height and crown diameter from high-resolution UAV imagery
Dimitrios Panagiotidis, Azadeh Abdollahnejad, Peter Surový, et al.
International Journal of Remote Sensing (2016) Vol. 38, Iss. 8-10, pp. 2392-2410
Closed Access | Times Cited: 303
UAS, sensors, and data processing in agroforestry: a review towards practical applications
Luís Pádua, Jakub Vanko, Jonáš Hruška, et al.
International Journal of Remote Sensing (2017) Vol. 38, Iss. 8-10, pp. 2349-2391
Closed Access | Times Cited: 297
Applications of drone in disaster management: A scoping review
Sharifah Mastura Syed Mohd Daud, Mohd Yusmiaidil Putera Mohd Yusof, Chong Chin Heo, et al.
Science & Justice (2021) Vol. 62, Iss. 1, pp. 30-42
Open Access | Times Cited: 277
A Direct Comparison of Remote Sensing Approaches for High-Throughput Phenotyping in Plant Breeding
Maria Tattaris, Matthew Reynolds, Scott Chapman
Frontiers in Plant Science (2016) Vol. 7
Open Access | Times Cited: 264
A review on plant high-throughput phenotyping traits using UAV-based sensors
Chuanqi Xie, Ce Yang
Computers and Electronics in Agriculture (2020) Vol. 178, pp. 105731-105731
Open Access | Times Cited: 264
High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling
Kakeru Watanabe, Wei Guo, Keigo Arai, et al.
Frontiers in Plant Science (2017) Vol. 8
Open Access | Times Cited: 244
High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology
Jorge Torres‐Sánchez, Francisca López Granados, Nicolás Serrano, et al.
PLoS ONE (2015) Vol. 10, Iss. 6, pp. e0130479-e0130479
Open Access | Times Cited: 231
Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence
Antoine Harfouche, Daniel Jacobson, David Kainer, et al.
Trends in biotechnology (2019) Vol. 37, Iss. 11, pp. 1217-1235
Open Access | Times Cited: 203
Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks
Ovidiu Csillik, John Cherbini, Robert Johnson, et al.
Drones (2018) Vol. 2, Iss. 4, pp. 39-39
Open Access | Times Cited: 190
Unmanned Aerial Vehicles in Agriculture: A Survey
Jaime del Cerro, Christyan Cruz Ulloa, Antonio Barrientos, et al.
Agronomy (2021) Vol. 11, Iss. 2, pp. 203-203
Open Access | Times Cited: 183
UAV-Based Thermal Imaging for High-Throughput Field Phenotyping of Black Poplar Response to Drought
Riccardo Ludovisi, Flavia Tauro, Riccardo Salvati, et al.
Frontiers in Plant Science (2017) Vol. 8
Open Access | Times Cited: 176
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
Smart Farming in Europe
Vasileios Moysiadis, Panagiotis Sarigiannidis, V. Vitsas, et al.
Computer Science Review (2021) Vol. 39, pp. 100345-100345
Closed Access | Times Cited: 153
Mapping Coastal Wetland Biomass from High Resolution Unmanned Aerial Vehicle (UAV) Imagery
Cheryl L. Doughty, Kyle C. Cavanaugh
Remote Sensing (2019) Vol. 11, Iss. 5, pp. 540-540
Open Access | Times Cited: 149
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
Daoliang Li, Chaoqun Quan, Zhaoyang Song, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 125
Estimating evaporation with thermal UAV data and two-source energy balance models
Helene Hoffmann, Héctor Nieto, Rasmus Jensen, et al.
Hydrology and earth system sciences (2016) Vol. 20, Iss. 2, pp. 697-713
Open Access | Times Cited: 168
Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
Steven E. Franklin, Oumer S. Ahmed
International Journal of Remote Sensing (2017) Vol. 39, Iss. 15-16, pp. 5236-5245
Closed Access | Times Cited: 136
UAV photogrammetry for mapping vegetation in the low-Arctic
Robert Fraser, Ian Olthof, Trevor C. Lantz, et al.
Arctic Science (2016) Vol. 2, Iss. 3, pp. 79-102
Open Access | Times Cited: 134
Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle
Oumer S. Ahmed, Adam Shemrock, Dominique Chabot, et al.
International Journal of Remote Sensing (2017) Vol. 38, Iss. 8-10, pp. 2037-2052
Closed Access | Times Cited: 132
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