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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:

Improving Hybrid Models for Precipitation Forecasting by Combining Nonlinear Machine Learning Methods
Laleh Parviz, Kabir Rasouli, Ali Torabi Haghighi
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 3833-3855
Open Access | Times Cited: 10

Showing 10 citing articles:

How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment?
Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131040-131040
Closed Access | Times Cited: 25
Forecasting Future Groundwater Recharge from Rainfall Under Different Climate Change Scenarios Using Comparative Analysis of Deep Learning and Ensemble Learning Techniques
Dolon Banerjee, Sayantan Ganguly, Shashwat Kushwaha
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4019-4037
Closed Access | Times Cited: 10
A comprehensive review towards resilient rainfall forecasting models using artificial intelligence techniques
Md. Abu Saleh, H. M. Rasel, Briti Ray
Green Technologies and Sustainability (2024) Vol. 2, Iss. 3, pp. 100104-100104
Open Access | Times Cited: 4
Artificial intelligence forecasting and uncertainty analysis of meteorological data in atmospheric flows
Nicholas Christakis, Dimitris Drikakis, Panagiotis Tirchas
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Developing a seasonal-adjusted machine-learning-based hybrid time‑series model to forecast heatwave warning
M. Qureshi, Amrin Binte Ahmed, Adisha Dulmini, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
Carmen Calvo-Olivera, Ángel Manuel Guerrero‐Higueras, Jesús Lorenzana, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2455-2470
Open Access | Times Cited: 4
Hybrid model for rainfall prediction with statistical and technical indicator feature set
T. Anuradha, P.S.G. Aruna Sri Formal, J. Ramadevi
Expert Systems with Applications (2024) Vol. 249, pp. 123260-123260
Closed Access | Times Cited: 3
Reservoir Inflow Prediction: A Comparison between Semi Distributed Numerical and Artificial Neural Network Modelling
Mahesh Shelke, Shreenivas Londhe, Pradnya Dixit, et al.
Water Resources Management (2023) Vol. 37, Iss. 15, pp. 6127-6143
Closed Access | Times Cited: 3
Precipitation Modeling Based on Spatio-Temporal Variation in Lake Urmia Basin Using Machine Learning Methods
S Izadi Arbabi, Mohammad Taghi Sattari, Nasrin Fathollahzadeh Attar, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1246-1246
Open Access
Statistical Post-Processing for Precipitation Forecast Through Deep Learning Coupling Large-Scale and Local-Scale Spatiotemporal Information
Tuantuan Zhang, Zhongmin Liang, Chenglin Bi, et al.
Water Resources Management (2024)
Closed Access
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