Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools
Kwesi Twum Antwi-Agyakwa, Mawuli Afenyo, Donatus Bapentire Angnuureng
Water (2023) Vol. 15, Iss. 3, pp. 427-427
Open Access | Times Cited: 22

Showing 22 citing articles:

Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities
Abbas Sharifi, Ali Tarlani Beris, Amir Sharifzadeh Javidi, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102485-102485
Closed Access | Times Cited: 21
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Menuka Maharjan, Sachin Timilsina, Santosh Ayer, et al.
Natural Hazards Research (2024) Vol. 4, Iss. 1, pp. 32-45
Open Access | Times Cited: 11
Fire and smoke digital twin – A computational framework for modeling fire incident outcomes
Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, et al.
Computers Environment and Urban Systems (2024) Vol. 110, pp. 102093-102093
Open Access | Times Cited: 8
Identifying suitable zones for integrated aquifer recharge and flood control in arid Qatar using GIS-based multi-criteria decision-making
Sarra Aloui, Adel Zghibi, Annamaria Mazzoni, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101137-101137
Open Access | Times Cited: 7
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: 16
Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review
Nicholas Byaruhanga, Daniel Kibirige, Shaeden Gokool, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1763-1763
Open Access | Times Cited: 6
Research on the Audit Rules for National Mountain Flood Disaster Survey and Evaluation Results of Key Towns and Villages
Min Xie, S N Qi, Yanhong Dou, et al.
Water (2025) Vol. 17, Iss. 6, pp. 773-773
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
State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review
Jiayi Song, Zhiyu Shao, Ziyi Zhan, et al.
Water (2024) Vol. 16, Iss. 17, pp. 2476-2476
Open Access | Times Cited: 4
Impact of dyke and vegetation on fluid force and moment reduction under sub and supercritical flow conditions
Nadir Murtaza, Ghufran Ahmed Pasha, Zaka Ullah Khan, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 3
Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan
Abdul Baser Qasimi, Vahid Isazade, Ronny Berndtsson
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 1367-1394
Closed Access | Times Cited: 8
Flood Hazard Assessment in Australian Tropical Cyclone-Prone Regions
Michael Kaspi, Yuriy Kuleshov
Climate (2023) Vol. 11, Iss. 11, pp. 229-229
Open Access | Times Cited: 5
Sea-level rise and flood mapping: a review of models for coastal management
Sèna Donalde Dolorès Marguerite Déguénon, Richard Adade, Oscar Teka, et al.
Natural Hazards (2023) Vol. 120, Iss. 3, pp. 2155-2178
Closed Access | Times Cited: 5
Nature-Based Solutions and Climate Resilience: A Bibliographic Perspective through Science Mapping Analysis
Farnoosh Vazin, Daniel W.M. Chan, Toktam Hanaee, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1492-1492
Open Access | Times Cited: 1
Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran
Rahim Tavakolifar, Himan Shahabi, Mohsen Alizadeh, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1151-1151
Open Access | Times Cited: 4
Copula-based Bayesian uncertainty quantification framework of SST turbulence model for flow over a Gaussian bump
Yao Li, Jinrong Zhang, Wantong Wu, et al.
Acta Astronautica (2024) Vol. 216, pp. 229-245
Closed Access | Times Cited: 1
Predictions of Peak Discharge of Dam Failures Based on the Combined GA and BP Neural Networks
Lv Ren, Tao Yuan, Jie Liu, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2946-2946
Open Access | Times Cited: 1
Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River floodplain, Bangladesh
Shapla Akhter, Md. Mostafizur Rahman, Md. Moniruzzaman Monir
HydroResearch (2024) Vol. 8, pp. 127-138
Open Access | Times Cited: 1
Enhancing flood risk assessment in northern Morocco with tuned machine learning and advanced geospatial techniques
Wassima Moutaouakil, Soufiane Hamida, Shawki Saleh, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 12, pp. 2477-2508
Closed Access
Cloud-based machine learning algorithms for anomalies detection
R. Amarnath, Gurumoorthi Gurulakshmanan
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 156-156
Open Access
An overview and trends of flood detection, hazard, vulnerability and risk assessment
Abbas Mohammed Noori, Abdul Razzak T. Ziboon, Amjed Naser Al-Hameedawi
AIP conference proceedings (2024) Vol. 3219, pp. 020086-020086
Closed Access
Integrating Radar Backscattering and Flood Water Depth Information for Improved Flood Mapping: A Case Study in Houston City
Nidhi Verma, Magaly Koch
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 8054-8057
Closed Access
Spatio-temporal prediction of land use and land cover change in Bahi (Manyoni) Catchment, Tanzania, using multilayer perceptron neural network and cellular automata-Markov chain model
Naima A.M. Hersi, Deogratias M. M. Mulungu, Joel Nobert
Environmental Monitoring and Assessment (2023) Vol. 196, Iss. 1
Closed Access
Page 1

Scroll to top