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:
Modeling rules of regional flash flood susceptibility prediction using different machine learning models
Yuguo Chen, Xinyi Zhang, Kejun Yang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 14
Yuguo Chen, Xinyi Zhang, Kejun Yang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 14
Showing 14 citing articles:
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
Jatan Debnath, Dhrubojyoti Sahariah, Nityaranjan Nath, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2393-2419
Open Access | Times Cited: 24
Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 14
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 14
A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping
Maelaynayn El baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5
Maelaynayn El baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5
A real-time prediction model for instantaneous dam-break flood evolution of concrete gravity dams based on attention mechanism and spatiotemporal multiple features
Chao Wang, Yaofei Zhang, Sherong Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110616-110616
Closed Access
Chao Wang, Yaofei Zhang, Sherong Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110616-110616
Closed Access
A Critical Review of Emerging Technologies for Flash Flood Prediction: Examining Artificial Intelligence, Machine Learning, Internet of Things, Cloud Computing, and Robotics Techniques
Ghazi Al-Rawas, Mohammad Reza Nikoo, Malik Al-Wardy, et al.
Water (2024) Vol. 16, Iss. 14, pp. 2069-2069
Open Access | Times Cited: 4
Ghazi Al-Rawas, Mohammad Reza Nikoo, Malik Al-Wardy, et al.
Water (2024) Vol. 16, Iss. 14, pp. 2069-2069
Open Access | Times Cited: 4
Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML
Fei He, Suxia Liu, Xingguo Mo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fei He, Suxia Liu, Xingguo Mo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Machine Learning-Based Mapping of Urban Pluvial Flood Susceptibility in Seoul Integrating Flood Conditioning Factors and Drainage-Related Data
Julieber T. Bersabe, Byong-Woon Jun
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 2, pp. 57-57
Open Access
Julieber T. Bersabe, Byong-Woon Jun
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 2, pp. 57-57
Open Access
Flash Flood Prediction Modeling in the Hilly Regions of Southeastern Bangladesh: A Machine Learning attempt on Present and Future Climate Scenarios
Arifur Rahman Rifath, Md Golam Muktadir, Mahmudul Hasan, et al.
Environmental Challenges (2024) Vol. 17, pp. 101029-101029
Open Access | Times Cited: 2
Arifur Rahman Rifath, Md Golam Muktadir, Mahmudul Hasan, et al.
Environmental Challenges (2024) Vol. 17, pp. 101029-101029
Open Access | Times Cited: 2
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 1
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 10, pp. 3537-3559
Open Access | Times Cited: 1
Comment on nhess-2023-152
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Comment on nhess-2023-152
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2024)
Open Access
Transferability of machine learning-based modeling frameworks across flood events for hindcasting maximum river flood depths in coastal watersheds
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2023)
Open Access | Times Cited: 1
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, et al.
(2023)
Open Access | Times Cited: 1
