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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:

Enhancing flow rate prediction of the Chao Phraya River Basin using SWAT–LSTM model coupling
Kritnipit Phetanan, Seok Min Hong, Daeun Yun, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101820-101820
Open Access | Times Cited: 11

Showing 11 citing articles:

Temporal fusion transformer model for predicting differential pressure in reverse osmosis process
Seunghyeon Lee, Jaegyu Shim, Jinuk Lee, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106914-106914
Closed Access
Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning
Zhongfeng Zhao, Xueni Wang, Hua Jin, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting
Türker Tuğrul, Mehmet Ali Hınıs, Sertaç Oruç
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Modeling the First Flush Effect of Urban Micropollutants with Sensitivity Analysis and Uncertainty Analysis
Daeun Yun, Seok Min Hong, Soobin Kim, et al.
(2025)
Closed Access
Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes
Heewon Jeong, B.K. Yun, Seongyeon Na, et al.
Journal of Membrane Science (2024) Vol. 709, pp. 123105-123105
Closed Access | Times Cited: 2
Coupling SWAT and Transformer Models for Enhanced Monthly Streamflow Prediction
Jiahui Tao, Yicheng Gu, Xin Yin, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8699-8699
Open Access | Times Cited: 2
A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models
Dae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Water Environment Research (2024) Vol. 96, Iss. 8
Closed Access | Times Cited: 1
Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Prediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting
Sertaç Oruç, Mehmet Ali Hınıs, Türker Tuğrul
Water (2024) Vol. 16, Iss. 23, pp. 3465-3465
Open Access | Times Cited: 1
Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models
Heewon Jeong, Ather Abbas, Hyo Gyeom Kim, et al.
Water Research (2024) Vol. 266, pp. 122404-122404
Closed 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
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
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