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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 review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 75

Showing 51-75 of 75 citing articles:

Machine learning models for river flow forecasting in small catchments
Marco Luppichini, Giada Vailati, Lorenzo Fontana, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
Arvin Samadi-Koucheksaraee, Xuefeng Chu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Combining Satellite Optical and Radar Image Data for Streamflow Estimation Using a Machine Learning Method
Xingcan Wang, Wenchao Sun, Fan Lü, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5184-5184
Open Access | Times Cited: 4
Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction
Asif Iqbal, Tanveer Ahmed Siddiqi
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 4, pp. 1351-1382
Closed Access | Times Cited: 4
Flood Detection in Polarimetric SAR Data Using Deformable Convolutional Vision Model
Haiyang Yu, Ruili Wang, Pengao Li, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4202-4202
Open Access | Times Cited: 3
Flood risk mitigation in small catchments using an early-warning system based on machine learning models
Marco Luppichini, Giada Vailati, Lorenzo Fontana, et al.
Research Square (Research Square) (2024)
Open Access
Deep Learning Approaches for Stream Flow and Peak Flow Prediction: A Comparative Study
Levent Latifoğlu, Emre Altuntaş
The European Journal of Research and Development (2024) Vol. 4, Iss. 1, pp. 61-84
Closed Access
Do non-linearity and non-Gaussianity truly matter in streamflow forecasting? A comparative study between PAR(p) and vine copula for Brazilian streamflow time series
Guilherme Armando de Almeida Pereira, Álvaro Veiga
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 5
Closed Access
Modelagem de redes neurais artificiais MLP para previsão de vazões na bacia do rio Miranda afluente do Pantanal
Christian Pascal Silva Bouix
(2024)
Open Access
Identifying Opportunities to Improve Daily Streamflow Predictions Using Machine Learning
Arash Aghakhani, David S. Robertson, Valentijn R. N. Pauwels
(2024)
Closed Access
Improving Flood Forecasting Capability of Ai Model by Coupling Feature Space Distribution and Self-Attention Mechanism
Yanjun Zhao, Xueqiang Zhao, Yangbo Chen, et al.
(2024)
Closed Access
Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information
Parthkumar Modi, Keith S. Jennings, Joseph Kasprzyk, et al.
Authorea (Authorea) (2024)
Open Access
From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh
Md. Abu Saleh, H. M. Rasel, Briti Ray
Watershed Ecology and the Environment (2024)
Open Access
Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
Matteo Bodini
Signals (2024) Vol. 5, Iss. 4, pp. 659-689
Open Access
A novel approach for tool-narayanaswamy-moynihan model parameter extraction using multi-scale neural model
Marek Pakosta, Petr Doležel, Roman Svoboda
Materials Chemistry and Physics (2024) Vol. 329, pp. 130107-130107
Open Access
Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins
Zhonghui Guo, Chang Feng, Yang Liu, et al.
Agricultural Water Management (2024) Vol. 306, pp. 109157-109157
Open Access
Regression-based machine learning approaches for estimating discharge from water levels in microtidal rivers
Anna Maria Mihel, Nino Krvavica, Jonatan Lerga
Journal of Hydrology (2024) Vol. 646, pp. 132276-132276
Closed Access
Unveiling the Potential of Hybrid Deep Learning Algorithm in Streamflow Projection
Rishith Kumar Vogeti, Rahul Jauhari, Bhavesh Rahul Mishra, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1409, Iss. 1, pp. 012001-012001
Open Access
Exploring hydrological system performance for alpine low flows in local and continental prediction systems
Annie Y.-Y. Chang, Maria‐Helena Ramos, Shaun Harrigan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102056-102056
Open Access
Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms
Khaled Alghafli, Xiaogang Shi, William T. Sloan, et al.
Groundwater for Sustainable Development (2024) Vol. 28, pp. 101389-101389
Open Access
Coupled SWAT and SWT-CNN-LSTM model to improve watershed streamflow simulation
Chengqing Ren, Jianxia Chang, Xuebin Wang, et al.
Research Square (Research Square) (2024)
Open Access
Rapid flood simulation and source area identification in urban environments via interpretable deep learning
Hancheng Ren, Bo Pang, Gang Zhao, et al.
Journal of Hydrology (2024), pp. 132551-132551
Closed Access
An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting
Lizhi Tao, Nan Yang, Zhichao Cui, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102141-102141
Open Access
Associations between deep learning runoff predictions and hydrogeological conditions in Australia
Stephanie Clark, Jasmine B.D. Jaffrés
Journal of Hydrology (2024), pp. 132569-132569
Closed Access
21st Century Learning and Smartphone Preference as a Learning Media
Ifham Choli, Ahmad Mujib, Eddy Saputra, et al.
JURNAL IQRA (2024) Vol. 9, Iss. 2, pp. 203-219
Closed Access
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