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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:

Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
Claudio Paredes, Fernando Portela, Susana Mendes, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8056-8056
Open Access | Times Cited: 20

Showing 20 citing articles:

Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review
Massimo Vincenzo Ferro, Pietro Catania
Horticulturae (2023) Vol. 9, Iss. 3, pp. 399-399
Open Access | Times Cited: 33
Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status
Alessandro Carella, Pedro Tomás Bulacio Fischer, Roberto Massenti, et al.
Horticulturae (2024) Vol. 10, Iss. 5, pp. 516-516
Open Access | Times Cited: 9
A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems
Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 15, pp. 4923-4960
Closed Access | Times Cited: 4
Multispectral, Thermal, and Hyperspectral Sensing Data Depict Stomatal Conductance in Grapevine
Kesevan Veloo, Carlos Zúñiga Espinoza, Alberto Espinoza Salgado, et al.
Remote Sensing (2025) Vol. 17, Iss. 1, pp. 137-137
Open Access
Screening drought-resistant and water-saving winter wheat varieties by predicting yields with multi-source UAV remote sensing data
Xu Liu, Yang Han, Syed Tahir Ata-Ul-Karim, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110213-110213
Closed Access
Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation
Thomas Buunk, Sergio Vélez, Mar Ariza-Sentís, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8625-8625
Open Access | Times Cited: 12
NIR attribute selection for the development of vineyard water status predictive models
Miguel Marañón, Juan Fernández‐Novales, Javier Tardáguila, et al.
Biosystems Engineering (2023) Vol. 229, pp. 167-178
Open Access | Times Cited: 9
Imagining AI-driven decision making for managing farming in developing and emerging economies
Ume Chukwuma, K. G. Gebremedhin, Daniel Dooyum Uyeh
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108946-108946
Closed Access | Times Cited: 3
Recent progress on grapevine water status assessment through remote and proximal sensing: A review
Francesco Abbatantuono, Giuseppe Lopriore, Anas Tallou, et al.
Scientia Horticulturae (2024) Vol. 338, pp. 113658-113658
Open Access | Times Cited: 3
State-of-the-art technologies for remote sensing of crops water status and nutrients in agriculture: A review
Svetoslav Atanasov
Scientific Horizons (2023) Vol. 26, Iss. 9, pp. 167-177
Open Access | Times Cited: 7
A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture
David Pascoal, Nuno Silva, Telmo Adão, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection
Fernando Portela, Joaquim J. Sousa, Claudio Paredes, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8172-8172
Open Access | Times Cited: 2
Evaluating Daily Water Stress Index (DWSI) Using Thermal Imaging of Neem Tree Canopies under Bare Soil and Mulching Conditions
Thayná Alice Brito Almeida, Abelardo Antônio de Assunção Montenegro, Rodes Ângelo Batista da Silva, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2782-2782
Open Access | Times Cited: 1
Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery
Luís Pádua, Agnieszka Chojka, Raul Morais, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109372-109372
Closed Access | Times Cited: 1
Plant-based and remote sensing for water status monitoring of orchard crops: Systematic review and meta-analysis
L.J. Velazquez-Chavez, André Daccache, Abdelmoneim Zakaria Mohamed, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109051-109051
Open Access | Times Cited: 1
A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape
Fernando Fuentes-Peñailillo, Samuel Ortega-Farías, César Acevedo-Opazo, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 25-25
Open Access | Times Cited: 2
Automated remote sensing system for crops monitoring and irrigation management, based on leaf color change and piecewise linear regression models for soil moisture content predicting
Svetoslav Atanasov
Scientific Horizons (2023) Vol. 27, Iss. 1, pp. 127-139
Open Access | Times Cited: 2
Water productivity in Vitis vinifera L. cv. Alvarinho using dual crop coefficient approach
Simão P. Silva, Maria Isabel Valín, Susana Mendes, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109027-109027
Open Access


Scientific Horizons (2023) Vol. 26, Iss. 9
Open Access | Times Cited: 1
Towards the automation of NIR spectroscopy to assess vineyard water status spatial–temporal variability from a ground moving vehicle
Juan Fernández‐Novales, Ignacio Barrio, María P. Diago
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
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