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:

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
‪João Vasco Silva, Joost van Heerwaarden, Pytrik Reidsma, et al.
Field Crops Research (2023) Vol. 302, pp. 109063-109063
Open Access | Times Cited: 13

Showing 13 citing articles:

Predicting carob tree physiological parameters under different irrigation systems using Random Forest and Planet satellite images
Simone Pietro Garofalo, Vincenzo Giannico, Beatriz Lorente, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 10

A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data
Pasquale Campi, Anna Francesca Modugno, Gabriele De Carolis, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2224-2224
Open Access | Times Cited: 7

Data-driven strategies to improve nitrogen use efficiency of rice farming in South Asia
Sam Coggins, Andrew J. McDonald, ‪João Vasco Silva, et al.
Nature Sustainability (2025)
Open Access

Enhancing the capabilities of the Chao Phraya forecasting system through the integration of pre-processed numerical weather forecasts
Theerapol Charoensuk, Jakob Luchner, Nicola Balbarini, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101737-101737
Open Access | Times Cited: 4

Yield variability across spatial scales in high input farming: Data and farmers’ perceptions for potato crops in the Netherlands
Arie Pieter Paulus Ravensbergen, M.K. van Ittersum, ‪João Vasco Silva, et al.
European Journal of Agronomy (2023) Vol. 150, pp. 126925-126925
Open Access | Times Cited: 5

Comparison of methods to aggregate climate data to predict crop yield: an application to soybean
Mathilde Chen, Nicolas Guilpart, David Makowski
Environmental Research Letters (2024) Vol. 19, Iss. 5, pp. 054049-054049
Open Access | Times Cited: 1

The power of on-farm data for improved agronomy
Ignacio Macedo, Cameron M. Pittelkow, José A. Terra, et al.
Global Food Security (2024) Vol. 40, pp. 100752-100752
Open Access | Times Cited: 1

Improving rice yield and water productivity in dry climatic zones of West Africa: Season-specific strategies
Jean‐Martial Johnson, M. Becker, Elliott Ronald Dossou-Yovo, et al.
Field Crops Research (2024) Vol. 316, pp. 109519-109519
Open Access | Times Cited: 1

Combining production ecology principles with random forest to model potato yield in China
Qiuhong Huang, G.B.M. Heuvelink, Ping He, et al.
Field Crops Research (2024) Vol. 319, pp. 109619-109619
Open Access | Times Cited: 1

On-farm nitrogen, phosphorus, and potassium partial balances in three major rice production systems in sub-Saharan Africa
Tovohery Rakotoson, Jean‐Martial Johnson, Kalimuthu Senthilkumar, et al.
Field Crops Research (2024) Vol. 322, pp. 109714-109714
Closed Access | Times Cited: 1

Copula Graphical Models for Heterogeneous Mixed Data
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
Journal of Computational and Graphical Statistics (2023) Vol. 33, Iss. 3, pp. 991-1005
Open Access | Times Cited: 2

Tiered maize and wheat nutrient removal coefficients estimated from available data
Cameron I. Ludemann, Renske Hijbeek, Marloes P. van Loon, et al.
Nutrient Cycling in Agroecosystems (2024)
Open Access

Predicting Sustainable Crop Yields: Deep Learning and Explainable AI Tools
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9437-9437
Open Access

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