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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:

Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18

Showing 18 citing articles:

Optimizing flood predictions by integrating LSTM and physical-based models with mixed historical and simulated data
Jun Li, Guofang Wu, Yongpeng Zhang, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33669-e33669
Open Access | Times Cited: 8
Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Nguyen Huu Duy, Le T. Pham, Nguyen Xuan Linh, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1852-1882
Open Access | Times Cited: 5
Improved flood risk assessment using multi-model ensemble machine-learning techniques in a tropical river basin of Southern India
A.L. Achu, C. D. Aju, M. C. Raicy, et al.
Physical Geography (2025), pp. 1-29
Closed Access
Morphometric analysis of debris flow hazard and risk assessment in the mountain terrains of northern Pakistan using remote sensing and field data
Nisar Ali Shah, Muhammad Shafique, Lewis A. Owen, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Delineation and Morphometric Characterization of Small- and Medium-Sized Caspian Sea Basin River Catchments Using Remote Sensing and GISs
Vladimir Tabunshchik, Petimat M. Dzhambetova, Roman Gorbunov, et al.
Water (2025) Vol. 17, Iss. 5, pp. 679-679
Open Access
Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate
Justin Diehr, Ayorinde Ogunyiola, Oluwabunmi Dada
Annals of GIS (2025), pp. 1-14
Open Access
Flood susceptibility assessment using deep neural networks and open-source spatial datasets in transboundary river basin
Huu Duy Nguyen, Dinh Kha Dang, H Truong, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2025)
Closed Access
Mapping flood susceptibility with PROMETHEE multi-criteria analysis method
Konstantinos Plataridis, Zisis Mallios
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 28, pp. 41267-41289
Closed Access | Times Cited: 2
Assessing Critical Flood-Prone Districts and Optimal Shelter Zones in the Brahmaputra Valley: Strategies for Effective Flood Risk Management
Jatan Debnath, Dhrubajyoti Sahariah, Gowhar Meraj, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103772-103772
Closed Access | Times Cited: 2
Threshold-based inventory for flood susceptibility assessment of the world’s largest river island using multi-temporal SAR data and ensemble machine learning algorithms
Pankaj Prasad, Dipjyoti Gogoi, Debashish Gogoi, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Morphometric assessment and soil erosion susceptibility maping using ensemble extreme gradient boosting (XGBoost) algorithm: a study for Hunza-Nagar catchment, Northern Pakistan
Hilal Ahmad, Yinghua Zhang, Majid Khan, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 21
Closed 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
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas
Mohd Rihan, Javed Mallick, Intejar Ansari, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
A hybrid convolutional neural network model coupled with AdaBoost regressor for flood mapping using geotagged flood photographs
Swati Sirsant, Gilbert Hinge, Harsh Singh, et al.
Natural Hazards (2024)
Closed Access
Dynamic flood risk prediction in Houston: a multi-model machine learning approach
S. Mishra, A. Bajpai, Agradeep Mohanta, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access
Enhancing flood resilience: Comparative analysis of single and hybrid defense systems for vulnerable buildings
Nadir Murtaza, Ghufran Ahmed Pasha, Hossein Hamidifar, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 116, pp. 105078-105078
Closed Access
Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process
Rana M. Amir Latif, Jinliao He
Atmosphere (2024) Vol. 16, Iss. 1, pp. 22-22
Open Access
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