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:

GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Huu Duy Nguyen
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2369-2386
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A novel flood risk management approach based on future climate and land use change scenarios
Huu Duy Nguyen, Quoc‐Huy Nguyen, Dinh Kha Dang, et al.
The Science of The Total Environment (2024) Vol. 921, pp. 171204-171204
Closed Access | Times Cited: 23

Parameters and methods used in flood susceptibility mapping: a review
Çağla Melisa KAYA, Leyla Derin
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1935-1960
Open Access | Times Cited: 32

Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
Konstantinos Plataridis, Zisis Mallios
Journal of Hydrology (2023) Vol. 624, pp. 129961-129961
Closed Access | Times Cited: 26

Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS
Huu Duy Nguyen, Quoc‐Huy Nguyen, Quang‐Thanh Bui
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 12, pp. 18701-18722
Closed Access | Times Cited: 8

Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
Seyed Vahid Razavi-Termeh, Ali Pourzangbar, Abolghasem Sadeghi‐Niaraki, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104357-104357
Closed Access | Times Cited: 1

Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
Huu Duy Nguyen, Van Hong Nguyen, Quan Vu Viet Du, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1569-1589
Closed Access | Times Cited: 6

Predicting land use effects on flood susceptibility using machine learning and remote sensing in coastal Vietnam
Van Tich Vu, Huu Duy Nguyen, Phương Lan Vu, et al.
Water Practice & Technology (2023) Vol. 18, Iss. 6, pp. 1543-1555
Open Access | Times Cited: 14

An Efficient Tourism Path Approach Based on Improved Ant Colony Optimization in Hilly Areas
Mohamed A. Damos, XU Wen-bo, Jun Zhu, et al.
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 1, pp. 34-34
Open Access

A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open Access

Soil salinity prediction using hybrid machine learning and remote sensing in Ben Tre province on Vietnam’s Mekong River Delta
Huu Duy Nguyen, Chien Pham Van, Tien Giang Nguyen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 29, pp. 74340-74357
Closed Access | Times Cited: 11

A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Journal of Environmental Management (2023) Vol. 345, pp. 118790-118790
Closed Access | Times Cited: 11

Evaluation of urban flood susceptibility through integrated Bivariate statistics and Geospatial technology
Kalidhas Muthu, R. Sivakumar
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Closed Access | Times Cited: 4

Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui, et al.
Transactions in GIS (2023) Vol. 27, Iss. 5, pp. 1614-1640
Closed Access | Times Cited: 9

Application of machine learning models in assessing the hydrological changes under climate change in the transboundary 3S River Basin
Quyen Nguyen, Sangam Shrestha, Suwas Ghimire, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 8, pp. 2902-2918
Open Access | Times Cited: 9

Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
Xuan-Hien Le, Duc Hai Nguyen, Sungho Jung, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3113-3124
Closed Access | Times Cited: 9

Flood prediction with time series data mining: Systematic review
Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah
Natural Hazards Research (2023) Vol. 4, Iss. 2, pp. 194-220
Open Access | Times Cited: 8

A Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Earth s Future (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 8

Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam
Huu Duy Nguyen, Quoc Huy Nguyen, Quan Vu Viet Du, et al.
Geological Journal (2023) Vol. 59, Iss. 2, pp. 636-658
Open Access | Times Cited: 7

A novel convolutional neural network model with hybrid attentional atrous convolution module for detecting the areas affected by the flood
Abdullah ŞENER, Gürkan Doğan, Burhan Ergen
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 193-209
Closed Access | Times Cited: 7

Mapping wetland habitat health in moribund deltaic India using machine learning and deep learning algorithms
Satyajit Paul, Swades Pal
Ecohydrology & Hydrobiology (2024)
Closed Access | Times Cited: 2

Daily streamflow prediction based on the long short-term memory algorithm: a case study in the Vietnamese Mekong Delta
Huu Duy Nguyen, Chien Pham Van, Quoc‐Huy Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 4, pp. 1247-1267
Open Access | Times Cited: 5

Analysis of the utilization of machine learning to map flood susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
(2024)
Closed Access | Times Cited: 1

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