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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:

Application of hybrid machine learning-based ensemble techniques for rainfall-runoff modeling
Gebre Gelete
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2475-2495
Closed Access | Times Cited: 15

Showing 15 citing articles:

Machine learning-based techniques for land subsidence simulation in an urban area
Jianxin Liu, Wenxiang Liu, Fabrice Blanchard Allechy, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 120078-120078
Closed Access | Times Cited: 32
Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems
Hyung Il Kim, Dongkyun Kim, Mehran Mahdian, et al.
Environmental Pollution (2024) Vol. 355, pp. 124242-124242
Closed Access | Times Cited: 28
In-depth simulation of rainfall–runoff relationships using machine learning methods
Mehdi Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2442-2459
Open Access | Times Cited: 10
K-Means Featurizer: A booster for intricate datasets
Kouao Laurent Kouadio, Jianxin Liu, Rong Liu, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1203-1228
Closed Access | Times Cited: 6
Enhancing daily runoff forecasting in hydropower basins with a voting ensemble model using historical data
Ngoc Anh Le, Phong Nguyen Thanh, Nhat Truong Pham, et al.
Hydrological Sciences Journal (2025), pp. 1-13
Closed Access
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling
Özgür Kişi, Salim Heddam, Kulwinder Singh Parmar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation
Gebre Gelete, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hydrology (2024) Vol. 640, pp. 131704-131704
Closed Access | Times Cited: 4
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Shichao Wang, Xiaoge Yu, Yan Li, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3469-3487
Closed Access | Times Cited: 10
Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches
Mojtaba Poursaeid, Amir Hossein Poursaeed, Saeid Shabanlou
Water Resources Management (2024)
Closed Access | Times Cited: 2
Assessing rainfall-runoff models for climate change: simple and differential split-sample tests for conceptual and artificial intelligence models
Nazanin Behfar, Martijn J. Booij, Vahid Nourani
Hydrological Sciences Journal (2024) Vol. 69, Iss. 7, pp. 861-877
Open Access | Times Cited: 1
Analysis of socioeconomic and environmental growth of Muzaffarpur city using a novel rainfall and flood forecasting model
Masood A. Ali
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10669-10688
Closed Access
A mixture learning strategy for predicting aquifer permeability coefficient K
Kouao Laurent Kouadio, Jianxin Liu, Wenxiang Liu, et al.
Computers & Geosciences (2024), pp. 105819-105819
Closed Access
Flood bend flow prediction in intermittent river reach using a 2D hydraulic model and stacking-ensemble-based LSTM technique
Wen‐Dar Guo, Wei‐Bo Chen, Chih-Hsin Chang
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Optimizing Flood Preparedness: A Comprehensive to Refine Rainfall Predict with Ensemble Machine Learning Models
Dimple Patil, Kamal Alaskar
Communications in computer and information science (2024), pp. 348-360
Closed Access
Assessment of climate change impacts on floods with a hybrid data-driven and conceptual model across a data-scarce region
Erfan Zarei, Afsaneh Nobakht, Farzin Nasiri Saleh
Research Square (Research Square) (2023)
Open Access
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