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:

Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
Zixuan Chen, Guojie Wang, Xikun Wei, et al.
Atmosphere (2024) Vol. 15, Iss. 2, pp. 155-155
Open Access | Times Cited: 6

Showing 6 citing articles:

Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, et al.
Ecological Informatics (2025), pp. 102995-102995
Open Access | Times Cited: 1

Observational Analysis of Long-term Streamflow Response to Flash Drought in the Mississippi River Basin
Sophia Bakar, Hyunglok Kim, Brett G. Jeffrey, et al.
Weather and Climate Extremes (2025), pp. 100762-100762
Open Access

Evidential uncertainty quantification with multiple deep learning architectures for spatiotemporal drought forecasting
Ahlem Ferchichi, Mejda Chihaoui, Radhia Toujani, et al.
Neural Computing and Applications (2025)
Closed Access

Investigating the Response of Vegetation to Flash Droughts by Using Cross-Spectral Analysis and an Evapotranspiration-Based Drought Index
Peng Zhan Li, Jia Li, Jing Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1564-1564
Open Access | Times Cited: 3

Advanced Forecasting of Drought Zones in Canada Using Deep Learning and CMIP6 Projections
Keyvan Soltani, Afshin Amiri, Isa Ebtehaj, et al.
Climate (2024) Vol. 12, Iss. 8, pp. 119-119
Open Access | Times Cited: 2

Dynamical systems-inspired machine learning methods for drought prediction
Andrew Watford, Chris T. Bauch, Madhur Anand
Ecological Informatics (2024), pp. 102889-102889
Open Access

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