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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:

A stochastic conceptual-data-driven approach for improved hydrological simulations
John Quilty, Anna E. Sikorska‐Senoner, David Hah
Environmental Modelling & Software (2022) Vol. 149, pp. 105326-105326
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Land Data Assimilation: Harmonizing Theory and Data in Land Surface Process Studies
Xin Li, Feng Liu, Chunfeng Ma, et al.
Reviews of Geophysics (2024) Vol. 62, Iss. 1
Open Access | Times Cited: 22
Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network
Guanjun Liu, Shuo Ouyang, Hui Qin, et al.
The Science of The Total Environment (2022) Vol. 855, pp. 158968-158968
Closed Access | Times Cited: 37
A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting
Mohammad Sina Jahangir, John You, John Quilty
Journal of Hydrology (2023) Vol. 619, pp. 129269-129269
Closed Access | Times Cited: 35
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: 29
Enhancing process-based hydrological models with embedded neural networks: A hybrid approach
Bu Li, Ting Sun, Fuqiang Tian, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130107-130107
Open Access | Times Cited: 27
Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review
Bisrat Ayalew Yifru, Kyoung Jae Lim, Seoro Lee
Sustainability (2024) Vol. 16, Iss. 4, pp. 1376-1376
Open Access | Times Cited: 9
A wavelet-assisted deep learning approach for simulating groundwater levels affected by low-frequency variability
Sivarama Krishna Reddy Chidepudi, Nicolas Masseï, Abderrahim Jardani, et al.
The Science of The Total Environment (2022) Vol. 865, pp. 161035-161035
Open Access | Times Cited: 33
A hybrid model coupling process-driven and data-driven models for improved real-time flood forecasting
Chengjing Xu, Ping‐an Zhong, Feilin Zhu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131494-131494
Closed Access | Times Cited: 5
Streamflow Simulation Using a Hybrid Approach Combining HEC-HMS and LSTM Model in the Tlawng River Basin of Mizoram, India
Sagar Debbarma, Arnab Bandyopadhyay, Aditi Bhadra
Environmental Modeling & Assessment (2025)
Closed Access
Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting
Muhammad Asif, Monique M. Kuglitsch, Ivanka Pelivan, et al.
Water Resources Management (2025)
Open Access
Impact of Indira Sagar Dam on Water Discharge and Sediment Flow Regimes of the Narmada Basin
Pragati Prajapati, Gaurav Kumar Meena, Somil Swarnkar, et al.
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 2
Closed Access
Enhancing representation of data-scarce reservoir-regulated river basins using a hybrid DL-process based approach
Liangkun Deng, Xiang Zhang, Louise Slater
Journal of Hydrology (2025) Vol. 655, pp. 132895-132895
Closed 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
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
Georgia Papacharalampous, Hristos Tyralis
Frontiers in Water (2022) Vol. 4
Open Access | Times Cited: 25
PyCoSMoS: An advanced toolbox for simulating real-world hydroclimatic data
Francesco Cappelli, Simon Michael Papalexiou, Yannis Markonis, et al.
Environmental Modelling & Software (2024) Vol. 178, pp. 106076-106076
Open Access | Times Cited: 4
Hybrid Hydrological Modeling for Large Alpine Basins: A Distributed Approach
Bu Li, Ting Sun, Fuqiang Tian, et al.
(2024)
Open Access | Times Cited: 3
Hydrological post-processing for predicting extreme quantiles
Hristos Tyralis, Georgia Papacharalampous
Journal of Hydrology (2023) Vol. 617, pp. 129082-129082
Open Access | Times Cited: 9
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years
Ujjwal Singh, Petr Máca, Martin Hanel, et al.
Information Fusion (2023) Vol. 97, pp. 101807-101807
Open Access | Times Cited: 8
Hybrid Data-Driven Models for Hydrological Simulation and Projection on the Catchment Scale
Salem Gharbia, Khurram Riaz, Iulia Anton, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4037-4037
Open Access | Times Cited: 12
Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool
David Hah, John Quilty, Anna E. Sikorska‐Senoner
Environmental Modelling & Software (2022) Vol. 157, pp. 105474-105474
Open Access | Times Cited: 12
A Hybrid, Non‐Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change
Zachary Paul Brodeur, Sungwook Wi, Ghazal Shabestanipour, et al.
Water Resources Research (2024) Vol. 60, Iss. 5
Open Access | Times Cited: 2
User-tailored sub-selection of climate model ensemble members for impact studies
Anna E. Sikorska‐Senoner, Jan Rajczak, Massimiliano Zappa, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175769-175769
Open Access | Times Cited: 2
Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4912-4912
Open Access | Times Cited: 5
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
Bu Li, Ting Sun, Fuqiang Tian, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 20, pp. 4521-4538
Open Access | Times Cited: 1
Comment on hess-2024-54
Bu Li, Ting Sun, Fuqiang Tian, et al.
(2024)
Open Access
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