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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:

Assessment and prediction of regional climate based on a multimodel ensemble machine learning method
Yinghao Fu, Haoran Zhuang, Xiaojing Shen, et al.
Climate Dynamics (2023) Vol. 61, Iss. 9-10, pp. 4139-4158
Closed Access | Times Cited: 8

Showing 8 citing articles:

Transformer-enhanced spatiotemporal neural network for post-processing of precipitation forecasts
Mingheng Jiang, Bin Weng, Jiazhen Chen, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130720-130720
Closed Access | Times Cited: 12
Analysis of future climate variability under CMIP6 scenarios based on a downscaling method considering wet days in the upper Yangtze River basin, China
Hanqiu Xu, Daniele Bocchiola
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Open Access | Times Cited: 1
Responses of spring wheat yield and growth period to different future climate change models in the yellow river irrigation area based on CMIP6 and WOFOST models
Xinlong Li, Junli Tan, Xina Wang, et al.
Agricultural and Forest Meteorology (2024) Vol. 353, pp. 110071-110071
Closed Access | Times Cited: 4
Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach
Muhammad Sabir Naveed, Hafiz M.N. Iqbal, Muhammad Fainan Hanif, et al.
International Journal of Green Energy (2025), pp. 1-24
Closed Access
A Comparative Approach to Understand the Performance of CMIP6 Models for Maximum Temperature near Tropic of Cancer Using Multiple Machine Learning Ensembles
Gaurav Patel, Subhasish Das, Rajib Das
Water Resources Management (2025)
Closed Access
Data-driven assessment of climate change and vegetative cover dynamics in traditional oases
Elisa Baioni, Giulia Fiantanese, Giovanni Porta
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102266-102266
Closed Access
Adaptive ensemble weighting for GCMs to enhance future drought characterization under various climate change scenarios
Muhammad Taimoor Shakeel, H. Abbas, Ayesha Waseem, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 5
Closed Access
Projection of future drought impacts on millet yield in northern Shanxi of China using ensemble machine learning approach
Shiwei Zhou, Yangzhong Wu, Chu Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108725-108725
Closed Access | Times Cited: 1
Enhancing Seasonal Climate Forecasting for the Alpine Region Through Machine Learning Statistical Downscaling
Suriyah Dhinakaran, Alice Crespi, Alexander Jacob, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 101, pp. 1683-1688
Closed Access
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