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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:

Smart applications and digital technologies in viticulture: A review
Javier Tardáguila, Manfred Stoll, Salvador Gutiérrez, et al.
Smart Agricultural Technology (2021) Vol. 1, pp. 100005-100005
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

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
Unlocking adoption challenges of IoT in Indian Agricultural and Food Supply Chain
Vaibhav S. Narwane, Angappa Gunasekaran, Bhaskar B. Gardas
Smart Agricultural Technology (2022) Vol. 2, pp. 100035-100035
Open Access | Times Cited: 56
Impact of climate change on grape berry ripening: An assessment of adaptation strategies for the Australian vineyard
Suzy Y. Rogiers, Dennis H. Greer, Yin Liu, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 41
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: 36
Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, et al.
Robotics and Autonomous Systems (2023) Vol. 169, pp. 104514-104514
Open Access | Times Cited: 30
Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions
Isabel Pinheiro, Germano Moreira, Daniel Queirós da Silva, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 1120-1120
Open Access | Times Cited: 27
Leveraging edge artificial intelligence for sustainable agriculture
Moussa El Jarroudi, Louis Kouadio, Philippe Delfosse, et al.
Nature Sustainability (2024) Vol. 7, Iss. 7, pp. 846-854
Closed Access | Times Cited: 12
A comprehensive survey for generative data augmentation
Y. Chen, Zihui Yan, Yunjie Zhu
Neurocomputing (2024) Vol. 600, pp. 128167-128167
Closed Access | Times Cited: 8
A Review on Advancing Agricultural Efficiency through Geographic Information Systems, Remote Sensing, and Automated Systems
Mrutyunjay Padhiary, Payaswini Saikia, Pankaj Roy, et al.
Cureus Journal of Engineering. (2025)
Closed Access | Times Cited: 1
The potential of thermal imaging to assist winemakers in the detection of downy mildew in Vitis vinifera cv Loureiro
Fernando Portela, Cláudio A. Paredes, Joaquim J. Sousa, et al.
Procedia Computer Science (2025) Vol. 256, pp. 78-85
Open Access | Times Cited: 1
Model based predictive control strategy for water saving drip irrigation
Abiodun Emmanuel Abioye, Mohamad Shukri Zainal Abidin, Mohd Saiful Azimi Mahmud, et al.
Smart Agricultural Technology (2023) Vol. 4, pp. 100179-100179
Open Access | Times Cited: 19
Climate change and adaptive strategies on viticulture (Vitis spp.)
Arif Atak
Open Agriculture (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Vineyard Zoning and Vine Detection Using Machine Learning in Unmanned Aerial Vehicle Imagery
Milan Gavrilović, Dušan Jovanović, Predrag Božović, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 584-584
Open Access | Times Cited: 6
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines
Paolo Guadagna, Miguel Fernandes, Fei Chen, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1547-1569
Open Access | Times Cited: 16
Evaluation of canopy fraction-based vegetation indices, derived from multispectral UAV imagery, to map water status variability in a commercial vineyard
Anke Berry, Melané A. Vivier, Carlos Poblete-Echeverría
Irrigation Science (2024) Vol. 43, Iss. 1, pp. 135-153
Open Access | Times Cited: 5
An autonomous Internet of Things spectral sensing system for in-situ optical monitoring of grape ripening: design, characterization, and operation
Hugo M. Oliveira, Alessio Tugnolo, Natacha Fontes, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108599-108599
Open Access | Times Cited: 4
Automatic detection of grape varieties with the newly proposed CNN model using ampelographic characteristics
İsmail Terzi, Mehmet Metin Özgüven, Adem Yağcı
Scientia Horticulturae (2024) Vol. 334, pp. 113340-113340
Closed Access | Times Cited: 4
Quantitative prediction of grape ripening parameters combining an autonomous IoT spectral sensing system and chemometrics
Alessio Tugnolo, Hugo M. Oliveira, V. Giovenzana, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109856-109856
Open Access
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines
Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 431-431
Open Access
Multipurpose small collaborative robot for smart viticulture: concept and design
Katsumi Ohyama, T. Tsukamoto, Takatsugu Yamamoto, et al.
Acta Horticulturae (2025), Iss. 1418, pp. 165-172
Closed Access
Enhancing Education in Agriculture via XR-Based Digital Twins: A Novel Approach for the Next Generation
Orestis Spyrou, Mar Ariza-Sentís, Sergio Vélez
Applied System Innovation (2025) Vol. 8, Iss. 2, pp. 38-38
Open Access
Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach
Mehdi Fasihi, Mirko Sodini, Alex Falcon, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data
Fernando Portela, Joaquim J. Sousa, Claudio Paredes, et al.
Agronomy (2025) Vol. 15, Iss. 4, pp. 934-934
Open Access
Current Trends and Perspectives on Predictive Models for Mildew Diseases in Vineyards
Luisa Velasquez-Camacho, Marta Otero, Boris Basile, et al.
Microorganisms (2022) Vol. 11, Iss. 1, pp. 73-73
Open Access | Times Cited: 18
Terroir analysis and its complexity
Antonello Bonfante, Luca Brillante
OENO One (2022) Vol. 56, Iss. 2, pp. 375-388
Open Access | Times Cited: 17
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