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:

Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change
Chengguang Lai, Xiaohong Chen, Ruida Zhong, et al.
Agricultural Water Management (2021) Vol. 259, pp. 107273-107273
Closed Access | Times Cited: 25

Showing 25 citing articles:

Analyzing the uncertainty of potential evapotranspiration models in drought projections derived for a semi-arid watershed
Umut Okkan, Okan Fıstıkoğlu, Zeynep Beril Ersoy, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 3, pp. 2329-2346
Closed Access | Times Cited: 9

A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
Hanmi Zhou, Linshuang Ma, Xiaoli Niu, et al.
Agricultural Water Management (2024) Vol. 296, pp. 108807-108807
Open Access | Times Cited: 9

Attribution analysis of trends in reference crop evapotranspiration in China
Yue Liu, Mengjing Guo, Jing Li, et al.
Journal of Geographical Sciences (2025) Vol. 35, Iss. 1, pp. 3-16
Closed Access

Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation
Rab Nawaz Bashir, Faizan Ahmed Khan, Arfat Ahmad Khan, et al.
Journal of Computational Science (2023) Vol. 69, pp. 102025-102025
Closed Access | Times Cited: 12

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting
Angela Robledo Troncoso-García, Isabel Sofía Brito, Alicia Troncoso, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108387-108387
Closed Access | Times Cited: 12

Assimilation of remotely sensed evapotranspiration products for streamflow simulation based on the CAMELS data sets
Chao Deng, Jiacheng Zou, Weiguang Wang
Journal of Hydrology (2023) Vol. 629, pp. 130574-130574
Closed Access | Times Cited: 9

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

Improved reference evapotranspiration methods for regional irrigation water demand estimation
Qiong Su, Vijay P. Singh, Raghupathy Karthikeyan
Agricultural Water Management (2022) Vol. 274, pp. 107979-107979
Open Access | Times Cited: 12

Genetic Algorithm-Optimized Extreme Learning Machine Model for Estimating Daily Reference Evapotranspiration in Southwest China
Quanshan Liu, Zongjun Wu, Ningbo Cui, et al.
Atmosphere (2022) Vol. 13, Iss. 6, pp. 971-971
Open Access | Times Cited: 11

Projection of future dry‐wet evolution in Northwest China and its uncertainty attribution analysis
Wenfei Liu, Xiaoling Su, Gengxi Zhang, et al.
River (2023) Vol. 2, Iss. 1, pp. 65-78
Open Access | Times Cited: 6

A Framework on Analyzing Long-Term Drought Changes and Its Influential Factors Based on the PDSI
Bing Yang, Liang Kong, Chengguang Lai, et al.
Atmosphere (2022) Vol. 13, Iss. 7, pp. 1151-1151
Open Access | Times Cited: 8

Trend Projections of Potential Evapotranspiration in Yangtze River Delta and the Uncertainty
Lu Ding, Yi Yu, Shaobo Zhang
Atmosphere (2024) Vol. 15, Iss. 3, pp. 357-357
Open Access | Times Cited: 1

Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning
Rab Nawaz Bashir, Imran Sarwar Bajwa, Muhammad Waseem Iqbal, et al.
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 1915-1930
Open Access | Times Cited: 4

Assessing Potential Evapotranspiration Methods in Future Drought Projections across Canada
Benita Y. Tam, Barrie Bonsal, Xuebin Zhang, et al.
ATMOSPHERE-OCEAN (2023) Vol. 62, Iss. 3, pp. 193-205
Open Access | Times Cited: 3

PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration
Matevž Vremec, Raoul Collenteur, Steffen Birk
Geoscientific model development (2024) Vol. 17, Iss. 18, pp. 7083-7103
Open Access

Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection
A. R. Troncoso-García, M. J. Jiménez-Navarro, María Lourdes Linares-Barrera, et al.
Lecture notes in networks and systems (2024), pp. 139-149
Closed Access

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

Reply on RC2
Matevž Vremec
(2023)
Open Access

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