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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:

Real-Time Urban Flood Forecasting Systems for Southeast Asia—A Review of Present Modelling and Its Future Prospects
Detchphol Chitwatkulsiri, Hitoshi Miyamoto
Water (2023) Vol. 15, Iss. 1, pp. 178-178
Open Access | Times Cited: 20

Showing 20 citing articles:

Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models
Niels Fraehr, Quan J. Wang, Wenyan Wu, et al.
Water Research (2024) Vol. 252, pp. 121202-121202
Open Access | Times Cited: 21
Forecasting Multi-Step-Ahead Street-Scale nuisance flooding using seq2seq LSTM surrogate model for Real-Time applications in a Coastal-Urban city
Binata Roy, Jonathan L. Goodall, Diana McSpadden, et al.
Journal of Hydrology (2025), pp. 132697-132697
Closed Access | Times Cited: 1
Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh
Adel Rajab, Hira Farman, Noman Islam, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3970-3970
Open Access | Times Cited: 32
How effective is twitter (X) social media data for urban flood management?
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
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
Empowering flood preparedness: Enhancing flood knowledge, risk perception, and preparedness among primary school learners in flood-affected southern Thailand
Mujalin Intaramuean, Atsuko Nonomura, Tum Boonrod
Progress in Disaster Science (2025), pp. 100410-100410
Open Access
Utilizing sequential modeling in collaborative method for flood forecasting
Wandee Thaisiam, Konlawat Yomwilai, Papis Wongchaisuwat
Journal of Hydrology (2024) Vol. 636, pp. 131290-131290
Closed Access | Times Cited: 3
Assessment of the Feasibility of Implementing a Flash Flood Early Warning System in a Small Catchment Area
Mariusz Starzec, Sabina Kordana, Daniel Słyś
Sustainability (2023) Vol. 15, Iss. 10, pp. 8316-8316
Open Access | Times Cited: 8
Server-enabled mixed reality for flood risk communication: On-site visualization with digital twins and multi-client support
Ryoma Tsujimoto, Tomohiro Fukuda, Nobuyoshi Yabuki
Environmental Modelling & Software (2024) Vol. 177, pp. 106054-106054
Closed Access | Times Cited: 2
Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff
Harshanth Balacumaresan, Monzur Alam Imteaz, Md. Abdul Aziz, et al.
Water Resources Management (2024) Vol. 38, Iss. 10, pp. 3657-3683
Open Access | Times Cited: 2
Development of Pipeline Transient Mixed Flow Model with Smoothed Particle Hydrodynamics Based on Preissmann Slot Method
Yixin Yang, Hexiang Yan, Shixun Li, et al.
Water (2024) Vol. 16, Iss. 8, pp. 1108-1108
Open Access | Times Cited: 2
An impact-based forecast system developed for hydrometeorological hazards
Osvaldo L. L. Moraes
International Journal of Disaster Risk Reduction (2023) Vol. 93, pp. 103803-103803
Closed Access | Times Cited: 5
Smart and Innovative Systems for Urban Flooding Risk Management
Patrizia Piro, Mohammed M. Saleh, Behrouz Pirouz, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 4
A Comprehensive Flood Risk Inundation Mapping and Hybrid Model for Flood Forecasting in the Panam River Basin
M. B. Patel, Falguni Parekh
Contemporary Mathematics (2024), pp. 1522-1538
Open Access | Times Cited: 1
Flood Prevention Strategies for Major Rivers in Afghanistan, China, India, Pakistan, Philippines, Thailand, Vietnam using Traditional Methods and Digital Technologies
R. Siva, M Mohamedsipli, Uma Shankar, et al.
(2024)
Open Access
The Role of AI in Urban Design and Planning in Responding to Extreme Flooding Events in Trinidad and Tobago
Roshnie Anita Doon
Advances in civil and industrial engineering book series (2024), pp. 87-107
Closed Access
Assessment of flood in Nandigama, Andhra Pradesh, using hydrological and hydraulic models
Poli Sainath Reddy, R. Bhavani
World Water Policy (2023) Vol. 10, Iss. 1, pp. 152-171
Open Access | Times Cited: 1
Predicting the Overflowing of Urban Personholes Based on Machine Learning Techniques
Ya‐Hui Chang, Chih-Wei Tseng, Hsien-Chieh Hsu
Water (2023) Vol. 15, Iss. 23, pp. 4100-4100
Open Access | Times Cited: 1
Urban Water-Related Problems
Akira Kawamura, Kei Nakagawa
Water (2023) Vol. 15, Iss. 18, pp. 3280-3280
Open Access
A Review of Flood Mitigation Literature: A Case Study of Sidoarjo Regency, Indonesia
Fifiet Koerniawan, Muhammad Ikhsan Setiawan, Grida Saktian Laksito
International Journal of Industrial Engineering Technology & Operations Management (2023) Vol. 1, Iss. 2, pp. 73-79
Open Access
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