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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:

Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany
Tobias Conradt
International Journal of Biometeorology (2022) Vol. 66, Iss. 11, pp. 2287-2300
Open Access | Times Cited: 10

Showing 10 citing articles:

Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric Brandt, Florian Beyer, Peter Borrmann, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
Comparison of process-based and statistical approaches for simulation and projections of rainfed crop yields
Mohammad Reza Eini, Haniyeh Salmani, Mikołaj Piniewski
Agricultural Water Management (2022) Vol. 277, pp. 108107-108107
Open Access | Times Cited: 16
Enhanced Coconut Yield Prediction Using Internet of Things and Deep Learning: A Bi-Directional Long Short-Term Memory Lévy Flight and Seagull Optimization Algorithm Approach
Rami N. Alkhawaji, Suhail H. Serbaya, Siraj Zahran, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7516-7516
Open Access | Times Cited: 2
Towards diverse agricultural land uses: socio-ecological implications of European agricultural pathways for a Swiss orchard region
Takamasa Nishizawa, Sonja Kay, Johannes Schuler, et al.
Regional Environmental Change (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 7
Wheat Yield Prediction Using Machine Learning: A Survey
Taye Girma Debelee, Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, et al.
Communications in computer and information science (2023), pp. 114-132
Closed Access | Times Cited: 2
Deep learning: crop selection based on weather conditions in Tarakeswar village of Hooghly district in West Bengal
Mallekedi Anand, Anuj Kumar Jain, Manoj Kumar Shukla
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 29715-29740
Closed Access | Times Cited: 2
IMPLICATIONS OF NEURAL NETWORK AS A DECISION-MAKING TOOL IN MANAGING KAZAKHSTAN’S AGRICULTURAL ECONOMY
Monika Kulisz, Aigerim Duisenbekova, Justyna Kujawska, et al.
Applied Computer Science (2024) Vol. 19, Iss. 4, pp. 121-135
Open Access
PROSPECTS FOR THE DEVELOPMENT OF DIGITAL MODELS OF GRAPE VARIETIES FOR PREDICTING THE EFFECTIVENESS OF TECHNOLOGICAL PROCESSES
Margarita Igorevna Ivanova, Vyacheslav Iosifovich Ivanchenko, Dmitry Valerievich Potanin
Fruit growing and viticulture of South Russia (2024) Vol. 1, Iss. 85, pp. 157-173
Open Access
Evaluating Machine Learning Models for Wheat Yield Prediction in Amritsar District
Aryan Rana, Anurag Dhiman, Mohammad S. Obaidat, et al.
(2024), pp. 1-8
Closed Access
Model for Predicting Maize Crop Yield on Small Farms Using Clusterwise Linear Regression and GRASP
Germán-Homero Morán-Figueroa, Darwin-Fabián Muñoz-Pérez, José-Luis Rivera-Ibarra, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3356-3356
Open Access
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