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:

Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances
Vijendra Kumar, Kul Vaibhav Sharma, Tommaso Caloiero, et al.
Hydrology (2023) Vol. 10, Iss. 7, pp. 141-141
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 98
Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 97
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
Gangani Dharmarathne, Anushka Osadhi Waduge, Madhusha Bogahawaththa, et al.
Results in Engineering (2024) Vol. 22, pp. 102123-102123
Open Access | Times Cited: 38
An integration of geospatial and fuzzy-logic techniques for multi-hazard mapping
Mausmi Gohil, Darshan Mehta, Mohamedmaroof Shaikh
Results in Engineering (2024) Vol. 21, pp. 101758-101758
Open Access | Times Cited: 15
Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 858-858
Open Access | Times Cited: 15
A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling
Gianmarco Guglielmo, Andrea Montessori, Jean‐Michel Tucny, et al.
Frontiers in Complex Systems (2025) Vol. 2
Open Access | Times Cited: 1
Improving flood forecasting in Narmada river basin using hierarchical clustering and hydrological modelling
Darshan Mehta, Jay Dhabuwala, S. M. Yadav, et al.
Results in Engineering (2023) Vol. 20, pp. 101571-101571
Open Access | Times Cited: 35
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
A Comparison of Machine Learning Models for Predicting Rainfall in Urban Metropolitan Cities
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13724-13724
Open Access | Times Cited: 21
Integrated Hydrological Modeling for Watershed Analysis, Flood Prediction, and Mitigation Using Meteorological and Morphometric Data, SCS-CN, HEC-HMS/RAS, and QGIS
Heba El-Bagoury, Ahmed Gad
Water (2024) Vol. 16, Iss. 2, pp. 356-356
Open Access | Times Cited: 13
Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities
Vijendra Kumar, Kul Vaibhav Sharma, Quoc Bao Pham, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 4251-4288
Closed Access | Times Cited: 10
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
Exploring the fidelity of satellite precipitation products in capturing flood risks: A novel framework incorporating hazard and vulnerability dimensions over a sensitive coastal multi-hazard catchment
Dev Anand Thakur, Mohit Prakash Mohanty
The Science of The Total Environment (2024) Vol. 920, pp. 170884-170884
Closed Access | Times Cited: 9
Enhanced machine learning models development for flash flood mapping using geospatial data
Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, et al.
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 3, pp. 1087-1107
Closed Access | Times Cited: 7
A Machine learning approach for Post-Disaster data curation
Sun Ho Ro, Yitong Li, Jie Gong
Advanced Engineering Informatics (2024) Vol. 60, pp. 102427-102427
Closed Access | Times Cited: 6
Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Saman Razavi, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 6
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
Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting
Muhammad Asif, Monique M. Kuglitsch, Ivanka Pelivan, et al.
Water Resources Management (2025)
Open Access
Flood scenarios vehicle detection algorithm based on improved YOLOv9
Jiwu Sun, Cheng Xu, Cheng Zhang, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access
Modeling the Impact of Extreme Climate Events on Household Welfare: An Empirical Framework
Nekeisha Spencer, Eric Strobl
Environmental and Resource Economics (2025)
Open Access
Climate smart computing: A perspective
Mingzhou Yang, Bharat Jayaprakash, Subhankar Ghosh, et al.
Pervasive and Mobile Computing (2025), pp. 102019-102019
Closed Access
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Hydroelectric Power Potentiality Analysis for the Future Aspect of Trends with R2 Score Estimation by XGBoost and Random Forest Regressor Time Series Models
Suman Chowdhury, Apurba Kumar Saha, Dilip Kumar Das
Procedia Computer Science (2025) Vol. 252, pp. 450-456
Open Access
Solving the Discretised Shallow Water Equations Using Non-Uniform Grids and Machine-Learning Libraries
Amin Nadimy, Boyang Chen, Zhe Chen, et al.
(2025)
Closed Access
Combining social media data and meteorological sensors for urban flood detection: a statistical analysis in São Paulo City
Vitor Yuichi Hossaki, Rogério Galante Negri, Leonardo Bacelar Lima Santos, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Page 1 - Next Page

Scroll to top