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:

Development of novel hybridized models for urban flood susceptibility mapping
Omid Rahmati, Hamid Darabi, Mahdi Panahi, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 109

Showing 26-50 of 109 citing articles:

Application of Unmanned Aerial Vehicle DEM in flood modeling and comparison with global DEMs: Case study of Atrak River Basin, Iran
Esmaeel Parizi, Shokoufeh Khojeh, Seiyed Mossa Hosseini, et al.
Journal of Environmental Management (2022) Vol. 317, pp. 115492-115492
Closed Access | Times Cited: 30

Rapid urban flood risk mapping for data-scarce environments using social sensing and region-stable deep neural network
Lin Lin, Chaoqing Tang, Qiuhua Liang, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128758-128758
Open Access | Times Cited: 29

Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Abu Reza Md. Towfiqul Islam, Md. Mijanur Rahman Bappi, Saeed Alqadhi, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 1-37
Closed Access | Times Cited: 21

Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece
Paraskevas Tsangaratos, Ioanna Ilia, Aikaterini-Alexandra Chrysafi, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3471-3471
Open Access | Times Cited: 20

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

A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India
Jonmenjoy Barman, Brototi Biswas, K. Srinivasa Rao
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8571-8596
Closed Access | Times Cited: 7

Extracting historical flood locations from news media data by the named entity recognition (NER) model to assess urban flood susceptibility
Shengnan Fu, Heng Lyu, Ze Wang, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128312-128312
Closed Access | Times Cited: 26

A novel hybrid GIS ‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds
Roya Sahraei, Yousef Kanani‐Sadat, Saeid Homayouni, et al.
Journal of Flood Risk Management (2022) Vol. 16, Iss. 2
Open Access | Times Cited: 25

Forecasting of Automobile Sales Based on Support Vector Regression Optimized by the Grey Wolf Optimizer Algorithm
Fei Qu, Yi-ting Wang, Wen-hui Hou, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2234-2234
Open Access | Times Cited: 24

Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management (2022) Vol. 316, pp. 115316-115316
Open Access | Times Cited: 23

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

An overview of flood evacuation planning: Models, methods, and future directions
Chuannan Li, Changbo Jiang, J. Chen, et al.
Journal of Hydrology (2025), pp. 133026-133026
Open Access

Formation Mechanism and Response Strategies for Urban Waterlogging: A Comprehensive Review
Y. Nie, Junhao Chen, X. Xiong, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3037-3037
Open Access

Waterlogging Susceptibility Zone Assessment in Kolkata by the Flow Accumulation Method
M. M. Mondal, Parama Bannerji, Nayan Dey
Springer geography (2025), pp. 313-335
Closed Access

Flood susceptibility mapping in Indian Sundarban delta using multivariate statistics and machine learning algorithms in GIS
Souvik Kundu, Tarun Kumar Mondal
Stochastic Environmental Research and Risk Assessment (2025)
Closed 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

A Revolutionary Hybridised MCDM Approach on Geographic Information System for Evaluation of Flood Risk in Subarnarekha River Basin, India
Sipra Mophapatra, Dillip K. Ghose, Deba Prakash Satapathy
Geological Journal (2025)
Closed Access

Enhancing Urban Flood Susceptibility Assessment by Capturing the Features of the Urban Environment
Juwei Tian, Yu Chen, Linhan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1347-1347
Open Access

Predictive Analytics for Urban Development Using ML Technique
Swapna Sarita Swain, R V Raghavendra Rao, Ch. Ram Mohan Reddy, et al.
IGI Global eBooks (2025), pp. 383-402
Closed Access

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China
Zhihui Li, Keyu Song, Lu Peng
Land (2021) Vol. 10, Iss. 8, pp. 878-878
Open Access | Times Cited: 29

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods
Huu Duy Nguyen, Dinh Kha Dang, Quoc‐Huy Nguyen, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12810-12845
Closed Access | Times Cited: 21

A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints
Candace Agonafir, Tarendra Lakhankar, R. Khanbilvardi, et al.
Computers Environment and Urban Systems (2022) Vol. 97, pp. 101854-101854
Open Access | Times Cited: 20

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