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:

A Novel Fusion-Based Methodology for Drought Forecasting
Huihui Zhang, Hugo A. Loáiciga, Tobias Sauter
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 828-828
Open Access | Times Cited: 6

Showing 6 citing articles:

Unlocking drought in pistachio orchards: monitoring and forecasting using landsat time series and machine learning techniques
Neda Zarei, Hooman Latifi, Ali Hosseininaveh Ahmadabadian
Horticulture Environment and Biotechnology (2025)
Closed Access

Global Dynamic Landslide Susceptibility Modeling Based on ResNet18: Revealing Large-Scale Landslide Hazard Evolution Trends in China
Hui Jiang, Mingtao Ding, Liangzhi Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2038-2038
Open Access

Assessing the impact of extreme climate events on European gross primary production
Huihui Zhang, Hugo A. Loáiciga, Akpona Okujeni, et al.
Agricultural and Forest Meteorology (2024) Vol. 362, pp. 110374-110374
Open Access | Times Cited: 2

Harnessing Artificial Neural Networks for Financial Analysis of Investments in a Shower Heat Exchanger
Sabina Kordana, Mariusz Starzec, Beata Piotrowska
Energies (2024) Vol. 17, Iss. 14, pp. 3584-3584
Open Access | Times Cited: 1

Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg
Fabio Brill, Pedro Henrique Lima Alencar, Huihui Zhang, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 12, pp. 4237-4265
Open Access | Times Cited: 1

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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