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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:

Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging
Wei Zhang, Dan Liu, Shengjie Zheng, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2547-2547
Open Access | Times Cited: 10

Showing 10 citing articles:

Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area
Omid Zandi, Banafsheh Zahraie, Mohsen Nasseri, et al.
Atmospheric Research (2022) Vol. 272, pp. 106159-106159
Closed Access | Times Cited: 41
Multiscale geographically and temporally weighted regression with a unilateral temporal weighting scheme and its application in the analysis of spatiotemporal characteristics of house prices in Beijing
Zhi Zhang, Jing Li, Tung Fung, et al.
International Journal of Geographical Information Science (2021) Vol. 35, Iss. 11, pp. 2262-2286
Closed Access | Times Cited: 29
Spatial interpolation of PM2.5 concentrations during holidays in south-central China considering multiple factors
Pengzhi Wei, Shaofeng Xie, Liangke Huang, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 7, pp. 101480-101480
Closed Access | Times Cited: 18
Assessment of mean precipitation and precipitation extremes in Iran as simulated by dynamically downscaled RegCM4
Azar Zarrin, Abbasali Dadashi-Roudbari
Dynamics of Atmospheres and Oceans (2024) Vol. 106, pp. 101452-101452
Closed Access | Times Cited: 3
An integrated framework for rainfall prediction and analysis using a Stacked Heterogeneous Ensemble Model (SHEM)
P. Umamaheswari, V. Ramaswamy
Expert Systems with Applications (2024) Vol. 256, pp. 124831-124831
Closed Access | Times Cited: 2
High-Resolution Precipitation Modeling in Complex Terrains Using Hybrid Interpolation Techniques: Incorporating Physiographic and MODIS Cloud Cover Influences
Karam Alsafadi, Shuoben Bi, Bashar Bashir, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2435-2435
Open Access | Times Cited: 6
Improving the quality of remotely sensed precipitation product from GPM satellites by using a spatial random forest
Baojian Hu, Wei Li, C. F. Chen, et al.
National Remote Sensing Bulletin (2024) Vol. 28, Iss. 2, pp. 414-425
Open Access | Times Cited: 1
Joint Analysis of Lightning-Induced Forest Fire and Surface Influence Factors in the Great Xing’an Range
Qiyue Zhang, Saeid Homayouni, Huaxia Yao, et al.
Forests (2022) Vol. 13, Iss. 11, pp. 1867-1867
Open Access | Times Cited: 6
Building Resilience Against Climate Change. Focusing on Predicting Precipitation with Machine Learning Models on Mexico’s Metropolitan Area
E Silva, I.V.J. Miranda, Luis Ignacio Ferro Salinas, et al.
Lecture notes in computer science (2024), pp. 68-80
Closed Access
Editorial for Special Issue “Remote Sensing of Precipitation: Part II”
Silas Michaelides
Remote Sensing (2021) Vol. 13, Iss. 1, pp. 136-136
Open Access
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