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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:

Three Steps towards Better Forecasting for Streamflow Deep Learning
Woon Yang Tan, Sai Hin Lai, Fang Yenn Teo, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12567-12567
Open Access | Times Cited: 9

Showing 9 citing articles:

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 48
Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting
Mojtaba Yari, Danial Jahed Armaghani, Chrysanthos Maraveas, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1345-1345
Open Access | Times Cited: 30
Advanced Tree-Based Techniques for Predicting Unconfined Compressive Strength of Rock Material Employing Non-Destructive and Petrographic Tests
Yuzhen Wang, Mahdi Hasanipanah, Ahmad Safuan A. Rashid, et al.
Materials (2023) Vol. 16, Iss. 10, pp. 3731-3731
Open Access | Times Cited: 20
Streamflow simulation and forecasting using remote sensing and machine learning techniques
Eugene Zhen Xiang Soo, Ren Jie Chin, Lloyd Ling, et al.
Ain Shams Engineering Journal (2024), pp. 103099-103099
Open Access | Times Cited: 2
Prediction of Streamflow in River Basin-Using ANN
Ajith K.M, Gopika Jitender, R Abhijith, et al.
E3S Web of Conferences (2024) Vol. 529, pp. 03019-03019
Open Access | Times Cited: 1
A comparative analysis of deep-learning models for dam discharge forecasting for disaster management
C. M. Nisha, N. Thangarasu
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 12, pp. 4024-4045
Closed Access | Times Cited: 1
Assessments of the WRF model in simulating 2021 extreme rainfall episode in Malaysia
Yixiao Chen, Andy Chan, Maggie Chel Gee Ooi, et al.
Air Quality Atmosphere & Health (2023) Vol. 17, Iss. 2, pp. 257-281
Closed Access | Times Cited: 3
Deep Neural Networks for the Estimation of Masonry Structures Failures under Rockfalls
Olga Mavrouli, Athanasia D. Skentou, Josep Maria Carbonell, et al.
Geosciences (2023) Vol. 13, Iss. 6, pp. 156-156
Open Access | Times Cited: 2
From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh
Md. Abu Saleh, H. M. Rasel, Briti Ray
Watershed Ecology and the Environment (2024)
Open Access
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