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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:

Why do our rainfall–runoff models keep underestimating the peak flows?
András Bardóssy, Faizan Anwar
Hydrology and earth system sciences (2023) Vol. 27, Iss. 10, pp. 1987-2000
Open Access | Times Cited: 18

Showing 18 citing articles:

An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy
Dongmei Xu, Zong Li, Wenchuan Wang
Journal of Hydrology (2023) Vol. 629, pp. 130558-130558
Closed Access | Times Cited: 34
Flood projections for selected Costa Rican main basins using CMIP6 climate models downscaled output in the HBV hydrological model for scenario SSP5-8.5
Hugo G. Hidalgo, Eric J. Alfaro, Adolfo Quesada‐Román
Hydrological Research Letters (2024) Vol. 18, Iss. 1, pp. 35-42
Open Access | Times Cited: 8
Improving Hydrological Modeling with Hybrid Models: A Comparative Study of Different Mechanisms for Coupling Deep Learning Models with Process-based Models
Yiming Wei, Renchao Wang, Ping Feng
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2471-2488
Closed Access | Times Cited: 5
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 5, pp. 1277-1294
Open Access
Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures
Abhinav Gupta, Mohamed M. Hantush, Rao S. Govindaraju, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131774-131774
Open Access | Times Cited: 4
Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Interpretable and explainable hybrid model for daily streamflow prediction based on multi-factor drivers
Wuyi Wan, Yu Zhou, Yaojie Chen
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 34588-34606
Closed Access | Times Cited: 1
A unified runoff generation scheme for applicability across different hydrometeorological zones
Qinuo Zhang, Ke Zhang, Lijun Chao, et al.
Environmental Modelling & Software (2024) Vol. 180, pp. 106138-106138
Closed Access | Times Cited: 1
A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins
Truyen Nguyen, Duc Hai Nguyen, Hyun‐Han Kwon, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102095-102095
Closed Access | Times Cited: 1
Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions
Abhinav Gupta, Sean Andrew McKenna
Journal of Hydrology X (2024), pp. 100198-100198
Open Access | Times Cited: 1
Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning
Abhinav Gupta
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101607-101607
Open Access | Times Cited: 4
Spring Runoff Simulation of Snow-Dominant Catchment in Steppe Regions: A Comparison Study of Lumped Conceptual Models
Stanislav A. Eroshenko, Evgeniy Shmakov, D. E. Klimenko, et al.
Inventions (2024) Vol. 9, Iss. 5, pp. 109-109
Open Access
The Space–Time Representation of Extraordinary Rainfall Events
Salvatore Manfreda
Ecohydrology (2024)
Open Access
On the importance of discharge observation uncertainty when interpreting hydrological model performance
Jerom Aerts, Jannis Hoch, Gemma Coxon, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 22, pp. 5011-5030
Open Access
An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region
Tingwei Bu, Chan Wang, Hao Chen, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3583-3583
Open Access
Developing a stochastic hydrological model for informing lake water level drawdown management
Xinchen He, Konstantinos M. Andreadis, Allison H. Roy, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118744-118744
Closed Access | Times Cited: 1
Modelagem ARX como ferramenta complementar aos estudos de estacionariedade da vazão em bacias hidrográficas
Rafael Iria Rodrigues
(2023)
Open Access
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