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:

On the use of machine learning methods to improve the estimation of gross primary productivity of maize field with drip irrigation
Hui Guo, Xiao Zhou, Yi Dong, et al.
Ecological Modelling (2022) Vol. 476, pp. 110250-110250
Closed Access | Times Cited: 13

Showing 13 citing articles:

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

A comparison of machine learning algorithms for predicting gross primary productivity of the Western Ghats region in India using reanalysis and satellite data
Geetika Agarwal, Pramit Kumar Deb Burman, Vrushali Kulkarni, et al.
Journal of Earth System Science (2025) Vol. 134, Iss. 2
Closed Access

Global-scale improvement of the estimation of terrestrial gross primary productivity by integrating optical and microwave remote sensing with meteorological data
Shuyu Zhang, Shanshan Yang, Jiaojiao Huang, et al.
Ecological Informatics (2024) Vol. 83, pp. 102780-102780
Open Access | Times Cited: 3

Construction of hyperspectral reflectance and spectral index inversion model for the water content of Catalpa bungei leaves
Siyu Lv, Junhui Wang, Zhengde Wang, et al.
Microchemical Journal (2023) Vol. 197, pp. 109811-109811
Closed Access | Times Cited: 6

Predicting Gross Primary Productivity of the Forest Ecosystems using Machine Learning Techniques: A Review of Existing Approaches
Gaurav Agarwal, Pramit Kumar Deb Burman, Pranali Kosamkar, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1285, Iss. 1, pp. 012014-012014
Open Access | Times Cited: 1

Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador
Cindy Urgilés, Johanna Orellana‐Alvear, Patricio Crespo, et al.
International Journal of Biometeorology (2024)
Closed Access

The Impact of Climate Change on Groundwater and Crop Yield in Asia: A Comprehensive Review
Anandhi Santhosh, S. Prabhakaran, V. Davamani, et al.
(2023)
Open Access | Times Cited: 1

Prediction of Gross Primary Productivity using Hybrid LSTM-GRU Neural Networks and ERA5-Reanalysis Data
Geetika Agarwal, Pramit Kumar Deb Burman, Vrushali Kulkarni, et al.
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023), pp. 94-99
Closed Access | Times Cited: 1

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