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:
Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets
Simone Bregaglio, Fabrizio Ginaldi, Elisabetta Raparelli, et al.
Agricultural Systems (2023) Vol. 209, pp. 103666-103666
Open Access | Times Cited: 14
Simone Bregaglio, Fabrizio Ginaldi, Elisabetta Raparelli, et al.
Agricultural Systems (2023) Vol. 209, pp. 103666-103666
Open Access | Times Cited: 14
Showing 14 citing articles:
Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning
Adriano Mancini, Francesco Solfanelli, Luca Coviello, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 7
Adriano Mancini, Francesco Solfanelli, Luca Coviello, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 7
Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 6
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110055-110055
Open Access | Times Cited: 6
Comparative Evaluation of CERES-Maize, WOFOST-Maize, and Ensemble of Models for Predicting Maize Phenology, Growth, and Grain Yield
Jatinderpal Singh, Som Pal Singh, P K Kingra, et al.
Communications in Soil Science and Plant Analysis (2025), pp. 1-25
Closed Access
Jatinderpal Singh, Som Pal Singh, P K Kingra, et al.
Communications in Soil Science and Plant Analysis (2025), pp. 1-25
Closed Access
AI Algorithms in the Agrifood Industry: Application Potential in the Spanish Agrifood Context
Javier Marcos Arévalo, Francisco Javier Flor Montalvo, Juan-Ignacio Latorre-Biel, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2096-2096
Open Access
Javier Marcos Arévalo, Francisco Javier Flor Montalvo, Juan-Ignacio Latorre-Biel, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2096-2096
Open Access
National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series
Yingze Huang, Bingwen Qiu, Peng Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109018-109018
Closed Access | Times Cited: 3
Yingze Huang, Bingwen Qiu, Peng Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109018-109018
Closed Access | Times Cited: 3
Crop Yield Prediction Using Machine Learning: An Extensive and Systematic Literature Review
Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, et al.
Smart Agricultural Technology (2024), pp. 100718-100718
Open Access | Times Cited: 3
Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, et al.
Smart Agricultural Technology (2024), pp. 100718-100718
Open Access | Times Cited: 3
An innovative smart agriculture system utilizing a deep neural network and embedded system to enhance crop yield
A. Gokula Chandar, K. Sivasankari, S. Leela Lakshmi, et al.
Multidisciplinary Science Journal (2023) Vol. 6, Iss. 5, pp. 2024063-2024063
Open Access | Times Cited: 5
A. Gokula Chandar, K. Sivasankari, S. Leela Lakshmi, et al.
Multidisciplinary Science Journal (2023) Vol. 6, Iss. 5, pp. 2024063-2024063
Open Access | Times Cited: 5
Yield prediction through UAV-based multispectral imaging and deep learning in rice breeding trials
Hongkui Zhou, Fudeng Huang, Weidong Lou, et al.
Agricultural Systems (2024) Vol. 223, pp. 104214-104214
Closed Access | Times Cited: 1
Hongkui Zhou, Fudeng Huang, Weidong Lou, et al.
Agricultural Systems (2024) Vol. 223, pp. 104214-104214
Closed Access | Times Cited: 1
Traditional and Blockchain Based IoT and IIoT Security in the Context of Agriculture: A Survey
Rishikesh, Ditipriya Sinha
Wireless Personal Communications (2023) Vol. 133, Iss. 4, pp. 2267-2295
Closed Access | Times Cited: 3
Rishikesh, Ditipriya Sinha
Wireless Personal Communications (2023) Vol. 133, Iss. 4, pp. 2267-2295
Closed Access | Times Cited: 3
Meteorological Time Series Clustering in Agricultural Applications: A Systematic Literature Review
Marcos Oliveira, Monalisa Fagundes Oliveira, Gerson Geraldo H. Cavalheiro
(2024), pp. 1-11
Closed Access
Marcos Oliveira, Monalisa Fagundes Oliveira, Gerson Geraldo H. Cavalheiro
(2024), pp. 1-11
Closed Access
Crop Yield Prediction and Spectral Growth Zones
Nasser Tarraf Ibrahem
IntechOpen eBooks (2024)
Open Access
Nasser Tarraf Ibrahem
IntechOpen eBooks (2024)
Open Access
An open-source cloud-based procedure for MODIS remote sensing products: The nasawebservicepython package
Alessandro Montaghi, Simone Bregaglio, Sofia Bajocco
Ecological Informatics (2023) Vol. 79, pp. 102433-102433
Open Access | Times Cited: 1
Alessandro Montaghi, Simone Bregaglio, Sofia Bajocco
Ecological Informatics (2023) Vol. 79, pp. 102433-102433
Open Access | Times Cited: 1
Rice Yield Analysis and Forecasting Using Phenology-Based Time-Series Features
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
(2023)
Closed Access
James Brinkhoff, Allister Clarke, Brian W. Dunn, et al.
(2023)
Closed Access
Deep Reinforcement Learning with Fuzzy Inference System for Prediction of Crop-sowing Windows
D. Balakrishnan, Umasree Mariappan, Pokuri Manoj Chowdary, et al.
(2023), pp. 1-6
Closed Access
D. Balakrishnan, Umasree Mariappan, Pokuri Manoj Chowdary, et al.
(2023), pp. 1-6
Closed Access
