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:

A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin
Xiaoman Jiang, Guoqiang Wang, Yuntao Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2234-2234
Open Access | Times Cited: 7

Showing 7 citing articles:

Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China
X. Y. Li, Yuntao Wang, Baolin Xue, et al.
Hydrological Processes (2023) Vol. 37, Iss. 10
Closed Access | Times Cited: 20

Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques
Xiaoman Jiang, Yuntao Wang, A Yinglan, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108755-108755
Open Access | Times Cited: 8

Investigating the regional ecological environment stability and its feedback effect on interference using a novel vegetation resilience assessment model
Jiping Yao, Guoqiang Wang, Ruihong Yu, et al.
The Science of The Total Environment (2024) Vol. 930, pp. 172728-172728
Closed Access | Times Cited: 6

Study on spatio-temporal simulation and prediction of regional deep soil moisture using machine learning
A Yinglan, Xiaoman Jiang, Yuntao Wang, et al.
Journal of Contaminant Hydrology (2023) Vol. 258, pp. 104235-104235
Closed Access | Times Cited: 12

Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast
Anzhen Qin, Zhilong Fan, Liuzeng Zhang
Advances in Meteorology (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 1

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