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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:

Multi-Scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions
Dominic Fawcett, Cinzia Panigada, Giulia Tagliabue, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 514-514
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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
Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review
Zakria Qadir, Fahim Ullah, Hafiz Suliman Munawar, et al.
Computer Communications (2021) Vol. 168, pp. 114-135
Closed Access | Times Cited: 214
UAV & satellite synergies for optical remote sensing applications: A literature review
Emilien Alvarez-Vanhard, Thomas Corpetti, Thomas Houet
Science of Remote Sensing (2021) Vol. 3, pp. 100019-100019
Open Access | Times Cited: 196
Review: Precision Livestock Farming technologies in pasture-based livestock systems
Chiara Aquilani, Andrea Confessore, Riccardo Bozzi, et al.
animal (2021) Vol. 16, Iss. 1, pp. 100429-100429
Open Access | Times Cited: 189
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
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
A. Narmilan, Felipe González, Arachchige Surantha Ashan Salgadoe, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1140-1140
Open Access | Times Cited: 83
Evaluation of spatial and temporal variability in Sentinel-2 surface reflectance on a rice paddy landscape
WonSeok Choi, Youngryel Ryu, Juwon Kong, et al.
Agricultural and Forest Meteorology (2025) Vol. 363, pp. 110401-110401
Open Access | Times Cited: 2
Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture
Salvatore Filippo Di Gennaro, Piero Toscano, Matteo Gatti, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 449-449
Open Access | Times Cited: 59
Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues
Vishal Mishra, Ram Avtar, A. P. Prathiba, et al.
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-28
Open Access | Times Cited: 38
Assessing radiometric calibration methods for multispectral UAV imagery and the influence of illumination, flight altitude and flight time on reflectance, vegetation index and inversion of winter wheat AGB and LAI
Honglei Zhu, Yanwei Huang, Z. H. An, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108821-108821
Closed Access | Times Cited: 14
A Review on Drone-Based Data Solutions for Cereal Crops
Uma Shankar Panday, Arun Kumar Pratihast, Jagannath Aryal, et al.
Drones (2020) Vol. 4, Iss. 3, pp. 41-41
Open Access | Times Cited: 68
A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the ‘Cipolla Rossa di Tropea’ (Italy)
Gaetano Messina, José M. Peña, Marco Vizzari, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3424-3424
Open Access | Times Cited: 68
Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites
Jakob J. Assmann, Isla H. Myers‐Smith, Jeffrey T. Kerby, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 12, pp. 125002-125002
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
Calibration and characterisation of four chlorophyll meters and transmittance spectroscopy for non-destructive estimation of forest leaf chlorophyll concentration
Luke A. Brown, Owen Williams, Jadunandan Dash
Agricultural and Forest Meteorology (2022) Vol. 323, pp. 109059-109059
Open Access | Times Cited: 35
UAV-based remote sensing using visible and multispectral indices for the estimation of vegetation cover in an oasis of a desert
Ning Wang, Yuchuan Guo, Xuan Wei, et al.
Ecological Indicators (2022) Vol. 141, pp. 109155-109155
Open Access | Times Cited: 33
Using UAV Visible Images to Estimate the Soil Moisture of Steppe
Fengshuai Lu, Yi Sun, Fujiang Hou
Water (2020) Vol. 12, Iss. 9, pp. 2334-2334
Open Access | Times Cited: 47
Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors
Han Lü, Tianxing Fan, Prakash Ghimire, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2542-2542
Open Access | Times Cited: 45
Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations
Andrew Revill, Anna Florence, Alasdair MacArthur, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1843-1843
Open Access | Times Cited: 42
Comparison of Sentinel-2 and UAV Multispectral Data for Use in Precision Agriculture: An Application from Northern Greece
Nikolaos Bollas, Eleni Kokinou, Vassilios Polychronos
Drones (2021) Vol. 5, Iss. 2, pp. 35-35
Open Access | Times Cited: 30
UAV-derived photogrammetric point clouds and multispectral indices for fuel estimation in Mediterranean forests
Raúl Hoffrén, María Teresa Lamelas Gracia, Juan de la Riva
Remote Sensing Applications Society and Environment (2023) Vol. 31, pp. 100997-100997
Open Access | Times Cited: 13
Fundamental practices for drone remote sensing research across disciplines
Adam J. Mathews, Kunwar K. Singh, Anthony R. Cummings, et al.
Drone Systems and Applications (2023) Vol. 11, pp. 1-22
Open Access | Times Cited: 11
Synergistic use of Sentinel-2 and UAV-derived data for plant fractional cover distribution mapping of coastal meadows with digital elevation models
Ricardo Martínez Prentice, Miguel Villoslada, Raymond D. Ward, et al.
Biogeosciences (2024) Vol. 21, Iss. 6, pp. 1411-1431
Open Access | Times Cited: 4
Hybrid Approach of Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Assessment of Chlorophyll-a Imagery Using Spectral Indices in Stream, South Korea
Eunju Kim, Sook-Hyun Nam, Jaewuk Koo, et al.
Water (2021) Vol. 13, Iss. 14, pp. 1930-1930
Open Access | Times Cited: 25
Mapping Surface Features of an Alpine Glacier through Multispectral and Thermal Drone Surveys
Micol Rossini, Roberto Garzonio, Cinzia Panigada, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3429-3429
Open Access | Times Cited: 11
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