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:
Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Hydrology and earth system sciences (2021) Vol. 25, Iss. 8, pp. 4373-4401
Open Access | Times Cited: 133
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Hydrology and earth system sciences (2021) Vol. 25, Iss. 8, pp. 4373-4401
Open Access | Times Cited: 133
Showing 26-50 of 133 citing articles:
Can transfer learning improve hydrological predictions in the alpine regions?
Yingying Yao, Yufeng Zhao, Xin Li, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130038-130038
Closed Access | Times Cited: 19
Yingying Yao, Yufeng Zhao, Xin Li, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130038-130038
Closed Access | Times Cited: 19
Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop
Antara Dasgupta, Louise Arnal, Rebecca Emerton, et al.
Journal of Flood Risk Management (2023)
Open Access | Times Cited: 17
Antara Dasgupta, Louise Arnal, Rebecca Emerton, et al.
Journal of Flood Risk Management (2023)
Open Access | Times Cited: 17
GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present
Jiabo Yin, Louise Slater, Abdou Khouakhi, et al.
Earth system science data (2023) Vol. 15, Iss. 12, pp. 5597-5615
Open Access | Times Cited: 17
Jiabo Yin, Louise Slater, Abdou Khouakhi, et al.
Earth system science data (2023) Vol. 15, Iss. 12, pp. 5597-5615
Open Access | Times Cited: 17
A Deep Learning Approach Based on Physical Constraints for Predicting Soil Moisture in Unsaturated Zones
Yi Wang, Wenke Wang, Zhitong Ma, et al.
Water Resources Research (2023) Vol. 59, Iss. 11
Closed Access | Times Cited: 16
Yi Wang, Wenke Wang, Zhitong Ma, et al.
Water Resources Research (2023) Vol. 59, Iss. 11
Closed Access | Times Cited: 16
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: 7
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 7
Physics-informed identification of PDEs with LASSO regression, examples of groundwater-related equations
Yang Zhan, Zhilin Guo, Bicheng Yan, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131504-131504
Closed Access | Times Cited: 6
Yang Zhan, Zhilin Guo, Bicheng Yan, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131504-131504
Closed Access | Times Cited: 6
Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins
Haoyuan Yu, Qichun Yang
Water (2024) Vol. 16, Iss. 15, pp. 2199-2199
Open Access | Times Cited: 6
Haoyuan Yu, Qichun Yang
Water (2024) Vol. 16, Iss. 15, pp. 2199-2199
Open Access | Times Cited: 6
Intercomparison of sediment transport curve and novel deep learning techniques in simulating sediment transport in the Wadi Mina Basin, Algeria
Mohammed Achite, Okan Mert Katipoğlu, Nehal Elshaboury, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 2
Closed Access
Mohammed Achite, Okan Mert Katipoğlu, Nehal Elshaboury, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 2
Closed Access
Precipitation recycling impacts on runoff in arid regions of China and Mongolia: a machine learning approach
Ruolin Li, Qi Feng, Yang Cui
Hydrological Sciences Journal (2025)
Closed Access
Ruolin Li, Qi Feng, Yang Cui
Hydrological Sciences Journal (2025)
Closed Access
Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs
Yuqian Hu, Heng Li, Chunxiao Zhang, et al.
Journal of Hydrology (2025) Vol. 653, pp. 132766-132766
Closed Access
Yuqian Hu, Heng Li, Chunxiao Zhang, et al.
Journal of Hydrology (2025) Vol. 653, pp. 132766-132766
Closed Access
Exploring the influence of training sampling strategies on time-series deep learning model in hydrology
Sung-Hyun Yoon, Kuk‐Hyun Ahn
Journal of Hydrology (2025) Vol. 653, pp. 132774-132774
Closed Access
Sung-Hyun Yoon, Kuk‐Hyun Ahn
Journal of Hydrology (2025) Vol. 653, pp. 132774-132774
Closed Access
Harnessing Novel Data‐Driven Techniques for Precise Rainfall–Runoff Modeling
Saad Sh. Sammen, Reza Mohammadpour, Karam Alsafadi, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access
Saad Sh. Sammen, Reza Mohammadpour, Karam Alsafadi, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access
Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions
Babak Mohammadi, Hongkai Gao, Petter Pilesjö, et al.
Journal of Hydrology (2025), pp. 132963-132963
Open Access
Babak Mohammadi, Hongkai Gao, Petter Pilesjö, et al.
Journal of Hydrology (2025), pp. 132963-132963
Open Access
Review of machine learning and WEAP models for water allocation under climate change
Deme Betele Hirko, J A du Plessis, A. Bosman
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Deme Betele Hirko, J A du Plessis, A. Bosman
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Editorial: Spatiotemporal modelling and assessment of water-related multi-hazards
Poulomi Ganguli, Shasha Han, David F. Muñoz, et al.
Frontiers in Water (2025) Vol. 7
Open Access
Poulomi Ganguli, Shasha Han, David F. Muñoz, et al.
Frontiers in Water (2025) Vol. 7
Open Access
A Review of Current trends, Challenges, and Future Perspectives in Machine Learning Applications to Water Resources in Nepal
Shishir Chaulagain, Manoj Lamichhane, Urusha Chaulagain
Journal of Hazardous Materials Advances (2025), pp. 100678-100678
Open Access
Shishir Chaulagain, Manoj Lamichhane, Urusha Chaulagain
Journal of Hazardous Materials Advances (2025), pp. 100678-100678
Open Access
Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios
Abderraman R. Amorim Brandão, Dimaghi Schwamback, Frederico Carlos Martins de Menezes Filho, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access
Abderraman R. Amorim Brandão, Dimaghi Schwamback, Frederico Carlos Martins de Menezes Filho, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access
On the future of hydroecological models of everywhere
Keith Beven
Environmental Modelling & Software (2025), pp. 106431-106431
Closed Access
Keith Beven
Environmental Modelling & Software (2025), pp. 106431-106431
Closed Access
Enhancing daily runoff prediction: A hybrid model combining GR6J-CemaNeige with wavelet-based gradient boosting technique
Babak Mohammadi, Mingjie Chen, Mohammad Reza Nikoo, et al.
Journal of Hydrology (2025), pp. 133114-133114
Closed Access
Babak Mohammadi, Mingjie Chen, Mohammad Reza Nikoo, et al.
Journal of Hydrology (2025), pp. 133114-133114
Closed Access
A Review on Snowmelt Models: Progress and Prospect
Gang Zhou, Manyi Cui, Junhong Wan, et al.
Sustainability (2021) Vol. 13, Iss. 20, pp. 11485-11485
Open Access | Times Cited: 35
Gang Zhou, Manyi Cui, Junhong Wan, et al.
Sustainability (2021) Vol. 13, Iss. 20, pp. 11485-11485
Open Access | Times Cited: 35
A workflow to address pitfalls and challenges in applying machine learning models to hydrology
Amr Gharib, Evan Davies
Advances in Water Resources (2021) Vol. 152, pp. 103920-103920
Closed Access | Times Cited: 34
Amr Gharib, Evan Davies
Advances in Water Resources (2021) Vol. 152, pp. 103920-103920
Closed Access | Times Cited: 34
Genetic programming for hydrological applications: to model or to forecast that is the question
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Journal of Hydroinformatics (2021) Vol. 23, Iss. 4, pp. 740-763
Open Access | Times Cited: 33
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Journal of Hydroinformatics (2021) Vol. 23, Iss. 4, pp. 740-763
Open Access | Times Cited: 33
Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka
Namal Rathnayake, Upaka Rathnayake, Imiya M. Chathuranika, et al.
IEEE Access (2023) Vol. 11, pp. 8920-8937
Open Access | Times Cited: 15
Namal Rathnayake, Upaka Rathnayake, Imiya M. Chathuranika, et al.
IEEE Access (2023) Vol. 11, pp. 8920-8937
Open Access | Times Cited: 15
Physical information-fused deep learning model ensembled with a subregion-specific sampling method for predicting flood dynamics
Changli Li, Zheng Han, Yange Li, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129465-129465
Closed Access | Times Cited: 15
Changli Li, Zheng Han, Yange Li, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129465-129465
Closed Access | Times Cited: 15
A comprehensive study of various regressions and deep learning approaches for the prediction of friction factor in mobile bed channels
Akshita Bassi, Ajaz Ahmad Mir, Bimlesh Kumar, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2500-2521
Open Access | Times Cited: 15
Akshita Bassi, Ajaz Ahmad Mir, Bimlesh Kumar, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2500-2521
Open Access | Times Cited: 15
