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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:

Evaluation and Statistical Post‐Processing of Two Precipitation Reforecast Products During Summer in the Mainland of China
Wentao Li, Qingyun Duan, Quan J. Wang, et al.
Journal of Geophysical Research Atmospheres (2022) Vol. 127, Iss. 12
Closed Access | Times Cited: 10

Showing 10 citing articles:

Considering ensemble spread improves rainfall forecast post‐processing
Quan J. Wang, Zeqing Huang, David Robertson, et al.
Quarterly Journal of the Royal Meteorological Society (2025)
Closed Access | Times Cited: 1
Improving Subseasonal‐To‐Seasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 24
Open Access | Times Cited: 17
Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Tuantuan Zhang, Zhongmin Liang, Wentao Li, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 10, pp. 1945-1960
Open Access | Times Cited: 12
Machine Learning Approaches to Improve North American Precipitation Forecasts
Cenker Sengoz, Sheela Ramanna, Scott Kehler, et al.
IEEE Access (2023) Vol. 11, pp. 97664-97681
Open Access | Times Cited: 7
Significant advancement in Subseasonal-to-Seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 074055-074055
Open Access | Times Cited: 2
pyNMME: A python toolkit to retrieve, calibrate and verify seasonal precipitation forecasts
Zeqing Huang, Tongtiegang Zhao
Environmental Modelling & Software (2023) Vol. 166, pp. 105732-105732
Open Access | Times Cited: 6
A Structured Graph Neural Network for Improving the Numerical Weather Prediction of Rainfall
Xuan Peng, Qian Li, Lei Chen, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 22
Closed Access | Times Cited: 2
Analysis of Crash Frequency Data Considering Simultaneously Multiple Objectives and Advanced Modelling Aspects
Zeke Ahern
(2024)
Open Access
Skillful land and marine heatwave forecasting through hybrid statistical dynamical modelling
Tongtiegang Zhao, Zeqing Huang, Hao Wang
Research Square (Research Square) (2024)
Open Access
Exploring Machine Learning Approaches to Precipitation Prediction: Post Processing of Daily Accumulated North American forecasts
Rushil Goomer
(2023)
Open Access
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