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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:

Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy
Marco Sozzi, Ahmed Kayad, Stefano Gobbo, et al.
Agronomy (2021) Vol. 11, Iss. 11, pp. 2098-2098
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms
Marco Sozzi, Silvia Cantalamessa, Alessia Cogato, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 319-319
Open Access | Times Cited: 182
How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation
Ahmed Kayad, Marco Sozzi, Dimitrios S. Paraforos, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107080-107080
Closed Access | Times Cited: 58
Towards Smart Irrigation: A Literature Review on the Use of Geospatial Technologies and Machine Learning in the Management of Water Resources in Arboriculture
Youssef Ahansal, Mourad Bouziani, Reda Yaagoubi, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 297-297
Open Access | Times Cited: 38
Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass
Radhwane Derraz, Farrah Melissa Muharam, Khairudin Nurulhuda, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107621-107621
Closed Access | Times Cited: 24
Assessment of vineyard vigour and yield spatio-temporal variability based on UAV high resolution multispectral images
Massimo Vincenzo Ferro, Pietro Catania, Daniele Miccichè, et al.
Biosystems Engineering (2023) Vol. 231, pp. 36-56
Open Access | Times Cited: 24
The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
Birutė Ruzgienė, Lina Kuklienė, Indrius Kuklys, et al.
Frontiers in Remote Sensing (2025) Vol. 6
Open Access | Times Cited: 1
Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management
Sergio Vélez, Mar Ariza-Sentís, Marko Panić, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100488-100488
Open Access | Times Cited: 6
A Deep Learning-Based Model to Reduce Costs and Increase Productivity in the Case of Small Datasets: A Case Study in Cotton Cultivation
Mohammad Amin Amani, Francesco Marinello
Agriculture (2022) Vol. 12, Iss. 2, pp. 267-267
Open Access | Times Cited: 23
Sugarcane Nitrogen Concentration and Irrigation Level Prediction Based on UAV Multispectral Imagery
Xiuhua Li, Yuxuan Ba, Muqing Zhang, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2711-2711
Open Access | Times Cited: 21
A Comparison between Conventional Sprayers and New UAV Sprayers: A Study Case of Vineyards and Olives in Extremadura (Spain)
Pablo Antonio Morales-Rodríguez, Eugenio Cano Cano, Jaime Villena, et al.
Agronomy (2022) Vol. 12, Iss. 6, pp. 1307-1307
Open Access | Times Cited: 21
GEOBIA and Vegetation Indices in Extracting Olive Tree Canopies Based on Very High-Resolution UAV Multispectral Imagery
Ante Šiljeg, Rajko Marinović, Fran Domazetović, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 739-739
Open Access | Times Cited: 12
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning
Rakshya Dhakal, Maitiniyazi Maimaitijiang, Jiyul Chang, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9708-9708
Open Access | Times Cited: 12
Do Decision Support Tools Allow Farmers to be Better Advised on Nitrogen Fertilisation in Wheat—Rapeseed Crops Succession in Northern France?
Marie-Astrid Bouchard, Andriamasinoro Andriamandroso, Ali Siah, et al.
Journal of Agronomy and Crop Science (2025) Vol. 211, Iss. 2
Closed Access
Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy
Biao Zhang, Liguo Dong, Zhichao Wang, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images
Wei Li, Xicun Zhu, Xinyang Yu, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3503-3503
Open Access | Times Cited: 18
Satellite multispectral indices to estimate canopy parameters and within-field management zones in super-intensive almond orchards
Leire Sandonís-Pozo, Jordi Llorens, Alexandre Escolà, et al.
Precision Agriculture (2022) Vol. 23, Iss. 6, pp. 2040-2062
Open Access | Times Cited: 14
Sensor-based measurements of NDVI in small grain and corn fields by tractor, drone, and satellite platforms
Jarrod O. Miller, Pinki Mondal, Manan Sarupria
Crop and Environment (2023) Vol. 3, Iss. 1, pp. 33-42
Open Access | Times Cited: 6
Evapotranspiration estimation using high-resolution aerial imagery and pySEBAL for processing tomatoes
Srinivasa Rao Peddinti, Floyid Nicolas, Iael Raij‐Hoffman, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Speeding Up Uav-Based Crop Variability Assessment Through a Data Fusion Approach Using Spatial Interpolation for Site-Specific Management
Sergio Vélez, Mar Ariza-Sentís, Marko Panić, et al.
(2024)
Closed Access | Times Cited: 1
Evapotranspiration estimation using high-resolution aerial imagery and pySEBAL for processing tomatoes
Srinivasa Rao Peddinti, Floyid Nicolas, Iael Raij‐Hoffman, et al.
Irrigation Science (2024) Vol. 43, Iss. 1, pp. 51-64
Open Access | Times Cited: 1
Upscaling drought resilience by coupling soil data and UAV-multispectral imageries
Giulia Sofia, Martina Sinatra, Paolo Tarolli, et al.
The Science of The Total Environment (2024) Vol. 958, pp. 178007-178007
Closed Access | Times Cited: 1
Precision nitrogen fertilization strategies for durum wheat: a sustainability evaluation of NNI and NDVI map-based approaches
Carolina Fabbri, Antonio Delgado‐Huertas, Lorenzo Guerrini, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127502-127502
Open Access | Times Cited: 1
The Analysis of Wheat Yield Variability Based on Experimental Data from 2008–2018 to Understand the Yield Gap
Elżbieta Wójcik‐Gront, Marzena Iwańska, A. Wnuk, et al.
Agriculture (2021) Vol. 12, Iss. 1, pp. 32-32
Open Access | Times Cited: 8
Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data
Michele Dalponte, Yady Tatiana Solano‐Correa, Hans Ole Ørka, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102790-102790
Open Access | Times Cited: 5
Determining the Effects of Nanonutrient Application in Cabbage (Brassica oleracea var. capitate L.) Using Spectrometry and Biomass Estimation with UAV
Izar Sínde-González, Josselyn Paola Gómez-López, Stalin Alejandro Tapia-Navarro, et al.
Agronomy (2021) Vol. 12, Iss. 1, pp. 81-81
Open Access | Times Cited: 5
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