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:

Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models
Juan Antonio Bellido-Jiménez, Javier Estévez, A. P. García‐Marín
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108327-108327
Closed Access | Times Cited: 7

Showing 7 citing articles:

Machine Learning-Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Zones
Changmin Du, Shouzheng Jiang, Chuqiang Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 730-730
Open Access | Times Cited: 5

Effect of different data quality control on evapotranspiration of winter wheat with Bowen ratio method
Yingnan Wu, Qiaozhen Li, Xiuli Zhong, et al.
Agricultural Water Management (2025) Vol. 311, pp. 109379-109379
Open Access

Developing a fast Fourier Transform Infrared Spectroscopy System for Precise and Reliable Grade Differentiation of Gastrodia elata
S. T. Lin, Zhongfan Liu, H. Qin, et al.
Vibrational Spectroscopy (2025), pp. 103769-103769
Closed Access

Improved remote sensing reference evapotranspiration estimation using simple satellite data and machine learning
Dan Liu, Zhongjing Wang, Lei Wang, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174480-174480
Closed Access | Times Cited: 2

CMIP6 multi-model ensemble projection of reference evapotranspiration using machine learning algorithms
Milad Nouri, Shadman Veysi
Agricultural Water Management (2024) Vol. 306, pp. 109190-109190
Open Access | Times Cited: 2

Methodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equation
Antónia Ferreira, Maria do Rosário Cameira, João Rolim
Climate (2024) Vol. 12, Iss. 12, pp. 205-205
Open Access

Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning models
Jia Zhang, Yimin Ding, Lei Zhu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109268-109268
Open Access

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