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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:

How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA
Lina Stein, Martyn Clark, Wouter Knoben, et al.
Water Resources Research (2021) Vol. 57, Iss. 4
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments
Shijie Jiang, Yi Zheng, Chao Wang, et al.
Water Resources Research (2021) Vol. 58, Iss. 1
Closed Access | Times Cited: 160
Reconciling disagreement on global river flood changes in a warming climate
Shulei Zhang, Liming Zhou, Lu Zhang, et al.
Nature Climate Change (2022) Vol. 12, Iss. 12, pp. 1160-1167
Closed Access | Times Cited: 92
Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis
Korbinian Breinl, David Lun, Hannes Müller‐Thomy, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126759-126759
Open Access | Times Cited: 93
Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments
Yikui Zhang, Silvan Ragettli, Péter Molnár, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128577-128577
Open Access | Times Cited: 52
Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins
Senlin Tang, Fubao Sun, Wenbin Liu, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Closed Access | Times Cited: 36
Compounding effects in flood drivers challenge estimates of extreme river floods
Shijie Jiang, Larisa Tarasova, Guo Yu, et al.
Science Advances (2024) Vol. 10, Iss. 13
Open Access | Times Cited: 16
Catchment characterization: Current descriptors, knowledge gaps and future opportunities
Larisa Tarasova, Sebastian Gnann, Soohyun Yang, et al.
Earth-Science Reviews (2024) Vol. 252, pp. 104739-104739
Open Access | Times Cited: 12
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 11
Future Change in Urban Flooding Using New Convection‐Permitting Climate Projections
Leanne Archer, Simbidzayi Hatchard, Laura Devitt, et al.
Water Resources Research (2024) Vol. 60, Iss. 1
Open Access | Times Cited: 10
Analysis of pollutant dispersion patterns in rivers under different rainfall based on an integrated water-land model
Fei Lin, Honglei Ren, Jingsha Qin, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120314-120314
Closed Access | Times Cited: 10
Streamflow prediction in ungauged catchments through use of catchment classification and deep learning
Miao He, S. S. Jiang, Liliang Ren, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131638-131638
Closed Access | Times Cited: 10
Flood Frequency Analysis in West Africa
Serigne Bassirou Diop, Yves Tramblay, Ansoumana Bodian, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning
Wenting Liang, Weili Duan, Yaning Chen, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
River flooding mechanisms and their changes in Europe revealed by explainable machine learning
Shijie Jiang, Emanuele Bevacqua, Jakob Zscheischler
Hydrology and earth system sciences (2022) Vol. 26, Iss. 24, pp. 6339-6359
Open Access | Times Cited: 37
Long-term variability in hydrological droughts and floods in sub-Saharan Africa: New perspectives from a 65-year daily streamflow dataset
Job Ekolu, Bastien Dieppois, Moussa Sidibé, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128359-128359
Open Access | Times Cited: 34
Varying Importance of Storm Types and Antecedent Conditions for Local and Regional Floods
Manuela I. Brunner, Erin Dougherty
Water Resources Research (2022) Vol. 58, Iss. 12
Open Access | Times Cited: 31
Spatiotemporal variation in global floods with different affected areas and the contribution of influencing factors to flood-induced mortality (1985–2019)
Tian Liu, Peijun Shi, Jian Fang
Natural Hazards (2022) Vol. 111, Iss. 3, pp. 2601-2625
Open Access | Times Cited: 29
Controls on the Spatial and Temporal Patterns of Rainfall‐Runoff Event Characteristics—A Large Sample of Catchments Across Great Britain
Yanchen Zheng, Gemma Coxon, Ross Woods, et al.
Water Resources Research (2023) Vol. 59, Iss. 6
Open Access | Times Cited: 18
Changes in Mediterranean flood processes and seasonality
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 15, pp. 2973-2987
Open Access | Times Cited: 18
Spatial Sensitivity of River Flooding to Changes in Climate and Land Cover Through Explainable AI
Louise Slater, Gemma Coxon, Manuela I. Brunner, et al.
Earth s Future (2024) Vol. 12, Iss. 5
Open Access | Times Cited: 7
Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data
Shervan Gharari, Hoshin V. Gupta, Martyn Clark, et al.
Water Resources Research (2021) Vol. 57, Iss. 6
Open Access | Times Cited: 39
Spatiotemporal Characteristics of US Floods: Current Status and Forecast Under a Future Warmer Climate
Zhi Li, Shang Gao, Mengye Chen, et al.
Earth s Future (2022) Vol. 10, Iss. 10
Open Access | Times Cited: 26
Model-based assessment of flood generation mechanisms over Poland: The roles of precipitation, snowmelt, and soil moisture excess
Nelson Venegas‐Cordero, Cyrine Cherrat, Zbigniew W. Kundzewicz, et al.
The Science of The Total Environment (2023) Vol. 891, pp. 164626-164626
Open Access | Times Cited: 16
Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5)
Hongxiang Yan, Ning Sun, Hisham Eldardiry, et al.
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 5
Open Access | Times Cited: 14
Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning
Shuping Du, S. S. Jiang, Liliang Ren, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 166422-166422
Open Access | Times Cited: 14
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