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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:

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

Showing 1-25 of 56 citing articles:

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, et al.
Ecological Informatics (2023) Vol. 78, pp. 102305-102305
Closed Access | Times Cited: 72
Drones in vegetable crops: A systematic literature review
Marco Canicattì, Mariangela Vallone
Smart Agricultural Technology (2024) Vol. 7, pp. 100396-100396
Open Access | Times Cited: 25
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region
Giandomenico De Luca, João M. N. Silva, Salvatore Di Fazio, et al.
European Journal of Remote Sensing (2022) Vol. 55, Iss. 1, pp. 52-70
Open Access | Times Cited: 65
From Satellite to UAV-Based Remote Sensing: A Review on Precision Agriculture
Swee King Phang, T. Chiang, Ari Happonen, et al.
IEEE Access (2023) Vol. 11, pp. 127057-127076
Open Access | Times Cited: 35
Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images
Massimo Vincenzo Ferro, Claus Aage Grøn Sørensen, Pietro Catania
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109277-109277
Open Access | Times Cited: 11
Unmanned aerial vehicles (UAVs): an adoptable technology for precise and smart farming
Sujith Makam, Bharath Kumar Komatineni, Sanwal Singh Meena, et al.
Discover Internet of Things (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 10
Garlic yield monitoring using vegetation indices and texture features derived from UAV multispectral imagery
Andrea Marcone, Giorgio Impollonia, Michele Croci, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100513-100513
Open Access | Times Cited: 9
Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery
Jinya Su, Dewei Yi, Matthew Coombes, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106621-106621
Open Access | Times Cited: 47
Geospatial-based machine learning techniques for land use and land cover mapping using a high-resolution unmanned aerial vehicle image
Taposh Mollick, Md Golam Azam, Sabrina Karim
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100859-100859
Open Access | Times Cited: 31
Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches
Marco Vizzari, Giacomo Lesti, Siham Acharki
Geo-spatial Information Science (2024), pp. 1-16
Open Access | Times Cited: 8
Segment-level modeling of wildfire susceptibility in Iranian semi-arid oak forests: Unveiling the pivotal impact of human activities
Akram Sadeghi, Mozhgan Ahmadi Nadoushan, Naser Ahmadi Sani
Trees Forests and People (2024) Vol. 15, pp. 100496-100496
Open Access | Times Cited: 7
Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban forest
Xiangshu Xi, Kai Xia, Yinhui Yang, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106506-106506
Closed Access | Times Cited: 39
Analysis of the Spatiotemporal Urban Expansion of the Rome Coastline through GEE and RF Algorithm, Using Landsat Imagery
Francesco Lodato, Nicola Colonna, Giorgio Pennazza, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 4, pp. 141-141
Open Access | Times Cited: 15
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning
A. Narmilan, Mark Hamilton, J. Kelly, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1633-1633
Open Access | Times Cited: 14
Multispectral Vegetation Indices and Machine Learning Approaches for Durum Wheat (Triticum durum Desf.) Yield Prediction across Different Varieties
Giuseppe Badagliacca, Gaetano Messina, Salvatore Praticò, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 2032-2048
Open Access | Times Cited: 14
An Object-Based Genetic Programming Approach for Cropland Field Extraction
Caiyun Wen, Miao Lu, Ying Bi, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1275-1275
Open Access | Times Cited: 20
Optimizing Riparian Habitat Conservation: A Spatial Approach Using Aerial and Space Technologies
Ravindra Nath Tripathi, Aishwarya Ramachandran, Vikas Tripathi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 16932-16943
Open Access | Times Cited: 4
Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery
Gaetano Messina, Salvatore Praticò, Giuseppe Badagliacca, et al.
Drones (2021) Vol. 5, Iss. 3, pp. 61-61
Open Access | Times Cited: 26
The Role of Remote Sensing in Olive Growing Farm Management: A Research Outlook from 2000 to the Present in the Framework of Precision Agriculture Applications
Gaetano Messina, Giuseppe Modica
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 5951-5951
Open Access | Times Cited: 17
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin
A. Burgueño, José F. Aldana-Martín, María Vázquez-Pendón, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
Emission offsets by albedo manipulations strategies based on bright materials and greening in urban areas assessed by hyperspectral remote sensing
Federico Carotenuto, Lorenzo Brilli, De Luca G, et al.
Urban Climate (2025) Vol. 60, pp. 102357-102357
Open Access
Multispectral UAV-based LULC mapping performance improvement by integrating precise NDSM data and machine learning algorithms
Ilyas Aydin, Umut Güneş Sefercik
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Durum Wheat (Triticum durum Desf.) Grain Yield and Protein Estimation by Multispectral UAV Monitoring and Machine Learning Under Mediterranean Conditions
Giuseppe Badagliacca, Gaetano Messina, Emilio Lo Presti, et al.
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 99-99
Open Access
Assessing the Efficacy of PlanetScope SuperDove Multispectral Data in Citrus Orchard Management: Preliminary Results
Lamia Rahali, Salvatore Praticò, Gaetano Messina, et al.
Lecture notes in civil engineering (2025), pp. 649-656
Closed Access
Monitoring the Relationships Between Soil Parameters and Vegetation Vigor in Citrus × Clementine Orchards: Preliminary Results
Gaetano Messina, Salvatore Praticò, Maria Teresa Rodinò, et al.
Lecture notes in civil engineering (2025), pp. 657-663
Closed Access
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