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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:

Deep learning versus hybrid regularized extreme learning machine for multi-month drought forecasting: A comparative study and trend analysis in tropical region
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e22942-e22942
Open Access | Times Cited: 10

Showing 10 citing articles:

Machine learning algorithms for the prediction of drought conditions in the Wami River sub-catchment, Tanzania
Christossy Lalika, Aziz Ul Haq Mujahid, Mturi James, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101794-101794
Open Access | Times Cited: 7
A novel stabilized artificial neural network model enhanced by variational mode decomposing
Ali Danandeh Mehr, Sadra Shadkani, Laith Abualigah, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34142-e34142
Open Access | Times Cited: 5
Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area
Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures
Mohammed Majeed Hameed, Adil Masood, Aman Srivastava, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Introducing high-order response surface method for improving scour depth prediction downstream of weirs
Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, et al.
Applied Water Science (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 2
Investigating a Hybrid Extreme Learning Machine Coupled with Dingo Optimization Algorithm for Liquefaction Triggering in Sand-Silt Mixtures
Mohammed Majeed Hameed, Adil Masood, Aman Srivast, et al.
Research Square (Research Square) (2024)
Open Access
Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA
Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 52060-52085
Closed Access
Approach for Long-Term Forecasting of Frosts and Droughts in Smart Agriculture
Olga А. Mitrofanova, E.P. Mitrofanov, Ivan S. Blekanov, et al.
Smart innovation, systems and technologies (2024), pp. 35-46
Closed Access
Robust Kernel Extreme Learning Machines For Postgraduate Learning Performance Prediction
Hongxing Gao, Tian-Zi Xu, Nan Zhang
Heliyon (2024) Vol. 11, Iss. 1, pp. e40919-e40919
Closed Access
Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region
Amin Gharehbaghi, Redvan Ghasemlounıa, Babak Vaheddoost, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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