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:

Ten years of corn yield dynamics at field scale under digital agriculture solutions: A case study from North Italy
Ahmed Kayad, Marco Sozzi, Simone Gatto, et al.
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106126-106126
Closed Access | Times Cited: 52

Showing 1-25 of 52 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

The Impact of the Digital Economy on Agricultural Green Development: Evidence from China
Qi Jiang, Jizhi Li, Hongyun Si, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1107-1107
Open Access | Times Cited: 86

UAV-spray application in vineyards: Flight modes and spray system adjustment effects on canopy deposit, coverage, and off-target losses
Alessandro Biglia, Marco Grella, Nicoletta Bloise, et al.
The Science of The Total Environment (2022) Vol. 845, pp. 157292-157292
Open Access | Times Cited: 76

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

Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield
Ahmed Kayad, Francelino A. Rodrigues, Sergio Naranjo, et al.
Field Crops Research (2022) Vol. 282, pp. 108449-108449
Open Access | Times Cited: 43

A comprehensive analysis of the advances in Indian Digital Agricultural architecture
Acharya Balkrishna, Rakshit Pathak, Sandeep Kumar, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100318-100318
Open Access | Times Cited: 26

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach
Wenxuan Geng, Liping Liu, J. Zhao, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4431-4431
Open Access | Times Cited: 12

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

Intelligent Agricultural Modelling of Soil Nutrients and pH Classification Using Ensemble Deep Learning Techniques
José Escorcia‐Gutierrez, Margarita Gamarra, Roosvel Soto-Díaz, et al.
Agriculture (2022) Vol. 12, Iss. 7, pp. 977-977
Open Access | Times Cited: 31

Unmanned aerial system plant protection products spraying performance evaluation on a vineyard
Alberto Sassu, Vasilis Psiroukis, Francesco Bettucci, et al.
Precision Agriculture (2024) Vol. 25, Iss. 4, pp. 2082-2112
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

Untangling the effect of soil quality on rice productivity under a 16-years long-term fertilizer experiment using conditional random forest
Saheed Garnaik, Prasanna Kumar Samant, Mitali Mandal, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106965-106965
Closed Access | Times Cited: 19

Soil invertebrate biodiversity and functionality within the intensively farmed areas of the Po Valley
Matteo Brunetti, Giulia Magoga, Alex Cussigh, et al.
Applied Soil Ecology (2024) Vol. 197, pp. 105326-105326
Open Access | Times Cited: 4

Driving change and innovation with IoT-cloud-based digital transformation
Yacine Atif, Sujith Samuel Mathew
Elsevier eBooks (2025), pp. 323-344
Closed Access

Yield and vegetation index of different maize varieties and nitrogen doses under normal irrigation
Rusnadi Padjung, Muh Farid, Yunus Musa, et al.
Open Agriculture (2025) Vol. 10, Iss. 1
Open Access

How digital is agriculture in a subset of countries from South America? Adoption and limitations
Laila A. Puntel, Édson Luís Bolfe, Ricardo Melchiori, et al.
Crop and Pasture Science (2022) Vol. 74, Iss. 6, pp. 555-572
Open Access | Times Cited: 17

Modeling of soil moisture and water fluxes in a maize field for the optimization of irrigation
Tamás Magyar, Zsolt Fehér, Erika Buday-Bódi, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108159-108159
Closed Access | Times Cited: 10

Patterns of Influence of Meteorological Elements on Maize Grain Weight and Nutritional Quality
Liqing Wang, Xiaofang Yu, Julin Gao, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 424-424
Open Access | Times Cited: 8

Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps
Virginia Fassa, Nicolò Pricca, Giovanni Cabassi, et al.
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107479-107479
Closed Access | Times Cited: 13

Identification and Counting of Coffee Trees Based on Convolutional Neural Network Applied to RGB Images Obtained by RPA
Lucas Santos Santana, Gabriel Araújo e Silva Ferraz, Gabriel Henrique Ribeiro dos Santos, et al.
Sustainability (2023) Vol. 15, Iss. 1, pp. 820-820
Open Access | Times Cited: 7

Effect of Different Nitrogen Supply on Maize Emergence Dynamics, Evaluation of Yield Parameters of Different Hybrids in Long-Term Field Experiments
Atala Szabó, Adrienn Széles, Árpád Illés, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 284-284
Open Access | Times Cited: 11

Annual comprehensive on hyper-automation technology application in farming: review
Sairoel Amertet, Girma Gebresenbet, Hassan M. Alwan
Smart Agricultural Technology (2024) Vol. 9, pp. 100516-100516
Open Access | Times Cited: 2

Leveraging Important Covariate Groups for Corn Yield Prediction
Britta L. Schumacher, Emily Burchfield, Brennan Bean, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 618-618
Open Access | Times Cited: 6

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