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:

Precipitation data merging via machine learning: Revisiting conceptual and technical aspects
Panagiotis Kossieris, Ioannis Tsoukalas, Luca Brocca, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131424-131424
Open Access | Times Cited: 5

Showing 5 citing articles:

Development of stacking algorithm for bias-correcting the precipitation projections using a multi-model ensemble of CMIP6 GCMs in a semi-arid basin, India
Hemanandhini Shanmugam, V. Lakshmanan
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access

Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges
Huajin Lei, Hongyi Li, Hongyu Zhao
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102272-102272
Closed Access

An Integrated, Explainable and Uncertainty-Aware Satellite-Based Precipitation Product for the Mediterranean Region
Panagiotis Kossieris, Ioannis Tsoukalas, Luca Brocca, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 7830-7834
Closed Access

Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity
Yanqiu Hu, Ling Zhang
Journal of Hydrology (2024) Vol. 645, pp. 132214-132214
Closed Access

Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, et al.
Machine Learning with Applications (2024), pp. 100615-100615
Open Access

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