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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:

Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners
Francesco Granata, Fabio Di Nunno
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3481-3499
Closed Access | Times Cited: 8

Showing 8 citing articles:

Runoff prediction using a multi-scale two-phase processing hybrid model
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Dissolved Oxygen Forecasting in the Mississippi River: Advanced Ensemble Machine Learning Models
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Environmental Science Advances (2024) Vol. 3, Iss. 11, pp. 1537-1551
Open Access | Times Cited: 8
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
Francesco Granata, Senlin Zhu, Fabio Di Nunno
Journal of Hydrology (2024), pp. 132175-132175
Closed Access | Times Cited: 6
Evaluating the predictive accuracy of some regression models and artificial neural networks in streamflow forecasting (a case study of the Kaduna River, Northwest Nigeria)
Lawal Mamudu, Ali Aldrees, Salisu Dan’azumi, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access
A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access
Enhancing hydrological time series forecasting with a hybrid Bayesian-ConvLSTM model optimized by particle swarm optimization
Hüseyin Çağan Kılınç, Sina Apak, Mahmut Esad Ergin, et al.
Acta Geophysica (2025)
Open Access
Daily Runoff Forecasting Using Novel Optimized Machine Learning Methods
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, et al.
Results in Engineering (2024) Vol. 24, pp. 103319-103319
Open Access | Times Cited: 2
Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting
Lizhi Tao, Nan Yang, Zhichao Cui, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102141-102141
Open Access
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