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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:

Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Huu Duy Nguyen, Dinh Kha Dang, Nhu Y Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 284-304
Open Access | Times Cited: 10

Showing 10 citing articles:

A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling
Gianmarco Guglielmo, Andrea Montessori, Jean‐Michel Tucny, et al.
Frontiers in Complex Systems (2025) Vol. 2
Open Access
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Izhar Ahmad, Rashid Farooq, Muhammad Ashraf, et al.
Natural Hazards (2025)
Open Access
Estuary salinity prediction using machine learning: case study in the Hau estuary in Mekong River, Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui
Water Science & Technology Water Supply (2025)
Open Access
Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
Gen Long, Sarintip Tantanee, Korakod Nusit, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques
Alireza Khoshkonesh, Rouzbeh Nazari, Mohammad Reza Nikoo, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175859-175859
Closed Access | Times Cited: 5
HESS Opinions: The sword of Damocles of the impossible flood
Alberto Montanari, Bruno Merz, Günter Blöschl
Hydrology and earth system sciences (2024) Vol. 28, Iss. 12, pp. 2603-2615
Open Access | Times Cited: 3
Enhancing Flood Management Through Machine Learning: A Comprehensive Analysis of the CatBoost Application
O. I. Ogundolie, S. O. Olabiyisi, Ganiyu R. A, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2513-2522
Open Access | Times Cited: 1
Flood assessment using machine learning and its implications for coastal spatial planning in Phu Yen Province, Vietnam
Van Truong Tran, Huu Duy Nguyen, Dang Thi Ngoc, et al.
Journal of Water and Climate Change (2024) Vol. 15, Iss. 8, pp. 3738-3761
Open Access | Times Cited: 1
Interpretable regional meteorological feature extraction enhances deep learning for extended 120-hour PM2.5 forecasting
Xiaolin LIU, Xueting Pu, Chengwei Lu, et al.
Journal of Cleaner Production (2024), pp. 144287-144287
Closed Access
GROUNDWATER POTENTIAL ASSESSMENT IN GIA LAI PROVINCE (VIETNAM) USING MACHINE LEARNING, REMOTE SENSING AND GIS
Huu Duy Nguyen, Van Trong Giang, Quang-Hai TRUONG, et al.
Geographia Technica (2024) Vol. 19, Iss. 2/2024, pp. 13-32
Open 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
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