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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:

Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions
Kailong Li, Guohe Huang, Shuo Wang, et al.
Water Resources Research (2022) Vol. 58, Iss. 6
Closed Access | Times Cited: 13

Showing 13 citing articles:

Impacts of climate warming on global floods and their implication to current flood defense standards
Jie Chen, Xinyan Shi, Lei Gu, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129236-129236
Closed Access | Times Cited: 45
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Junhao Wu, Zhaocai Wang, Jinghan Dong, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 30
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Sungwook Wi, Scott Steinschneider
Hydrology and earth system sciences (2024) Vol. 28, Iss. 3, pp. 479-503
Open Access | Times Cited: 14
Multivariate Analysis of Rainfall Spatial Distribution and Its Effect on Stormwater Magnitudes
Seyedeh Sadaf Moghisi, Jafar Yazdi, Seyed Ali Akbar Salehi Neyshabouri
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 2
Closed Access | Times Cited: 5
Multi-reservoirs joint flood control scheduling using a two-layer hedging robust optimization method under uncertain inflows
Xinting Yu, Yue‐Ping Xu, Yuxue Guo, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102244-102244
Closed Access
Efficacy of machine learning in simulating precipitation and its extremes over the capital cities in North Indian states
Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods
Ngo Nghi Truyen Huynh, Pierre‐André Garambois, François Colléoni, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129992-129992
Open Access | Times Cited: 11
Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds
Kailong Li, Guohe Huang, Shuo Wang, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128323-128323
Closed Access | Times Cited: 17
On the need for physical constraints in deep learning rainfall-runoff projections under climate change
Sungwook Wi, Scott Steinschneider
(2023)
Open Access | Times Cited: 7
Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain
Farzad Hosseini Hossein Abadi, Cristina Prieto, César Álvarez
Journal of Hydrology (2024), pp. 132269-132269
Open Access | Times Cited: 1
Multi-Reservoirs Joint Flood Control Scheduling Using a Two-Layer Hedging Robust Optimization Method Under Uncertain Inflows
Xinting Yu, Yue‐Ping Xu, Yuxue Guo, et al.
(2024)
Closed Access
Neglected Spatiotemporal Variations of Model Biases in Ensemble‐Based Climate Projections
Tangnyu Song, Guohe Huang, Xiuquan Wang
Geophysical Research Letters (2022) Vol. 49, Iss. 16
Open Access | Times Cited: 1
When the rooster crows the sun rises
Daniel Klotz
(2023)
Open Access
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