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:

Durum wheat yield forecasting using machine learning
Nabila Chergui
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 156-166
Open Access | Times Cited: 15

Showing 15 citing articles:

Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity
Shitong Zhou, Lei Xu, Nengcheng Chen
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1361-1361
Open Access | Times Cited: 17

Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting
Juan Carlos Moreno Sánchez, Héctor Mesa, Adrián Trueba Espinosa, et al.
Smart Agricultural Technology (2025), pp. 100791-100791
Open Access

Applications of Artificial Intelligence in sorghum and millet farming
Innocent Kutyauripo, Munyaradzi Charles Rushambwa, Rajkumar Palaniappan
Circular Agricultural Systems (2025) Vol. 5, Iss. 1
Open Access

Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks
Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Agriculture (2023) Vol. 13, Iss. 3, pp. 661-661
Open Access | Times Cited: 14

Multispectral Vegetation Indices and Machine Learning Approaches for Durum Wheat (Triticum durum Desf.) Yield Prediction across Different Varieties
Giuseppe Badagliacca, Gaetano Messina, Salvatore Praticò, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 2032-2048
Open Access | Times Cited: 12

Fostering deep learning approaches to evaluate the impact of urbanization on vegetation and future prospects
Zeeshan Zafar, Muhammad Sajid Mehmood, Zhai Shiyan, et al.
Ecological Indicators (2022) Vol. 146, pp. 109788-109788
Open Access | Times Cited: 21

Classification of seed corn ears based on custom lightweight convolutional neural network and improved training strategies
Xiang Ma, Yonglei Li, Lipengcheng Wan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105936-105936
Closed Access | Times Cited: 9

Integrating Crop Modeling and Machine Learning for the Improved Prediction of Dryland Wheat Yield
Zhiyang Li, Zhigang Nie, Guang Li
Agronomy (2024) Vol. 14, Iss. 4, pp. 777-777
Open Access | Times Cited: 2

An Integrated Analysis of Yield Prediction Models: A Comprehensive Review of Advancements and Challenges
Nidhi Parashar, Prashant Johri, Arfat Ahmad Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 389-425
Open Access | Times Cited: 2

Exploring Data Augmentation Algorithm to Improve Genomic Prediction of Top-Ranking Cultivars
Osval A. Montesinos‐López, Arvinth Sivakumar, Gloria Isabel Huerta Prado, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 260-260
Open Access | Times Cited: 1

Fertilization and soil management machine learning based sustainable agronomic prescriptions for durum wheat in Italy
Marco Fiorentini, Calogero Schillaci, Michele Denora, et al.
Precision Agriculture (2024) Vol. 25, Iss. 6, pp. 2853-2880
Closed Access | Times Cited: 1

Comparative evaluation of statistical and machine learning models for weather-driven wheat yield forecasting across different districts of Punjab
Kulwinder Kaur Gill, KAVITA BHATT, Akansha Akansha, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 10
Closed Access

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