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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:

Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
Huu Duy Nguyen
Journal of Water and Climate Change (2022) Vol. 14, Iss. 1, pp. 200-222
Open Access | Times Cited: 28

Showing 1-25 of 28 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: 25
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18
Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain
Gerardo Castellanos-Osorio, Adrián López-Ballesteros, Julio Pérez‐Sánchez, et al.
Journal of Hydrology (2023) Vol. 623, pp. 129837-129837
Closed Access | Times Cited: 29
Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment
Chiranjit Singha, Vikas Kumar Rana, Quoc Bao Pham, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 35, pp. 48497-48522
Open Access | Times Cited: 10
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: 9
A comparative spatial analysis of flood susceptibility mapping using boosting machine learning algorithms in Rathnapura, Sri Lanka
Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga, et al.
Journal of Flood Risk Management (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 8
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
Sunil Duwal, Dedi Liu, Prachand Man Pradhan
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Enhancing Flood Susceptibility Modeling: a Hybrid Deep Neural Network with Statistical Learning Algorithms for Predicting Flood Prone Areas
Motrza Ghobadi, Masumeh Ahmadipari
Water Resources Management (2024) Vol. 38, Iss. 8, pp. 2687-2710
Open Access | Times Cited: 8
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
Assessing the influence of human activities on flash flood susceptibility in mountainous regions of Vietnam
Duc-Vinh Hoang, Yuei‐An Liou
Ecological Indicators (2023) Vol. 158, pp. 111417-111417
Open Access | Times Cited: 16
Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization
Junjie Ji, Yongzhang Zhou, Qiuming Cheng, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1125-1125
Open Access | Times Cited: 15
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Nguyen Huu Duy, Le T. Pham, Nguyen Xuan Linh, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1852-1882
Open Access | Times Cited: 5
Flood hazard monitoring and modeling systems for improving climate risk management using machine learning and geospatial models in the Hennops River catchment, Centurion, South Africa
Paidamwoyo Mhangara, Eskinder Gidey, Matilda Mbazo
Discover Sustainability (2025) Vol. 6, Iss. 1
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
Flood risk modelling by the synergistic approach of machine learning and best-worst method in Indus Kohistan, Western Himalaya
Ashfaq Ahmad, Jiangang Chen, Xiaohong Chen, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
A systematic analysis of remote sensing and geographic information system applications for flood disaster risk management
Clinton Ekang Amatebelle, Solomon Temidayo Owolabi, Olumide Abiodun, et al.
Journal of Spatial Science (2025), pp. 1-27
Open Access
Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms
Yahia Alwathaf, Ahmed M. Al‐Areeq, Yousef A. Al-Masnay, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
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
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
Artificial Intelligence and Its Application in Disaster Risk Reduction in the Agriculture Sector
Debanga Raj Neog, Gautam Singha, Soumyabrata Dev, et al.
Disaster risk reduction (2024), pp. 279-305
Closed Access | Times Cited: 2
Analysis and prediction of the changes in groundwater resources under heavy precipitation and ecological water replenishment
Bowen Shi, Chao Wan, Weiwu Hu, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1762-1778
Open Access | Times Cited: 5
A framework for flood depth using hydrodynamic modeling and machine learning in the coastal province of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Y. Nhu Nguyen, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2023)
Closed Access | Times Cited: 5
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
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
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