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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:

Multi-hazards (landslides, floods, and gully erosion) modeling and mapping using machine learning algorithms
Ahmed M. Youssef, Ali M. Mahdi, Mohamed M. Al-Katheri, et al.
Journal of African Earth Sciences (2022) Vol. 197, pp. 104788-104788
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 2, pp. 326-341
Open Access | Times Cited: 21
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani
Water Practice & Technology (2024) Vol. 19, Iss. 1, pp. 52-81
Open Access | Times Cited: 5
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
Multi-Hazard Analysis in Gunungkidul Regency Using Spatial Multi-Criteria Evaluation
Melati Mustikaningrum, Adrianus Farrel Widhatama, Khrisna Wasista Widantara, et al.
Forum Geografi (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 13
Flood risk decomposed: optimized machine learning hazard mapping and multi-criteria vulnerability analysis in the city of Zaio, Morocco.
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak, et al.
Journal of African Earth Sciences (2024), pp. 105431-105431
Closed Access | Times Cited: 4
Multi-Hazards and Existing Data: A Transboundary Assessment for Climate Planning
Alessandra Longo, Chiara Semenzin, Linda Zardo
Land (2025) Vol. 14, Iss. 3, pp. 548-548
Open Access
Machine learning and GIS-based multi-hazard risk modeling for Uttarakhand: Integrating seismic, landslide, and flood susceptibility with socioeconomic vulnerability
Vipin Chauhan, Laxmi Gupta, Jagabandhu Dixit
Environmental and Sustainability Indicators (2025), pp. 100664-100664
Open Access
AI-Driven Innovations in Earthquake Risk Mitigation: A Future-Focused Perspective
Vagelis Plevris
Geosciences (2024) Vol. 14, Iss. 9, pp. 244-244
Open Access | Times Cited: 3
A spatially explicit multi-hazard framework for assessing flood, landslide, wildfire, and drought susceptibilities
Bahram Choubin, Abolfazl Jaafari, Davood Mafi-Gholami
Advances in Space Research (2024)
Closed Access | Times Cited: 3
Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui, et al.
Transactions in GIS (2023) Vol. 27, Iss. 5, pp. 1614-1640
Closed Access | Times Cited: 9
Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran
Mohammad Bashirgonbad, Behnoush Farokhzadeh, Vahid Gholami
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 38, pp. 50427-50442
Closed Access | Times Cited: 2
Groundwater potential mapping in arid and semi-arid regions of Kurdistan region of Iraq: A geoinformatics-based machine learning approach
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Groundwater for Sustainable Development (2024), pp. 101337-101337
Closed Access | Times Cited: 2
A framework for flood depth using hydrodynamic modeling and machine learning in the coastal province of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Y. Nhu Nguyen, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2023)
Closed Access | Times Cited: 5
Review of multihazards research with the basis of soil erosion
Narges Kariminejad, Mostafa Biglarfadafan, Vipin Kumar, et al.
Elsevier eBooks (2024), pp. 295-306
Closed Access | Times Cited: 1
Predicting gully formation: An approach for assessing susceptibility and future risk
Leila Goli Mokhtari, Nadiya Baghaei Nejad, Aliasghar Beheshti
Natural Resource Modeling (2024)
Open Access | Times Cited: 1
Multi-hazard susceptibility mapping of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India
Neha Gupta, Debi Prasanna Kanungo, Josodhir Das
Journal of Spatial Science (2024), pp. 1-26
Closed Access | Times Cited: 1
SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks
Krishnagopal Halder, Anitabha Ghosh, Amit Kumar Srivastava, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
The first inventory of gullies in the Upper Taquari River Basin (Brazil) and its agreement with land use classes
Rômullo Oliveira Louzada, Ivan Bergier, Fábio de Oliveira Roque
Ecological Informatics (2023) Vol. 78, pp. 102365-102365
Closed Access | Times Cited: 3
A random forest machine learning model to detect fluvial hazards
Marco Gava, Pascale M. Biron, Thomas Buffin‐Bélanger
River Research and Applications (2024)
Open Access
Assessing the destabilization risk of ecosystems dominated by carbon sequestration based on interpretable machine learning method
Lingli Zuo, Guohua Liu, Zhou Fang, et al.
Ecological Indicators (2024) Vol. 167, pp. 112593-112593
Open Access
Susceptibility assessment of multi-hazards using random forest—back propagation neural network coupling model: a Hangzhou city case study
Bofan Yu, Huaixue Xing, Jiaxing Yan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Perspective on secondary disasters: a literature review for future research
Kübra Yazıcı, Bahar Yalcın Kavus, Alev Taşkın Gümüş
Environment Development and Sustainability (2024)
Closed Access
Debris Flow Prediction in Mountainous Terrain Using Remote Sensing and GIS: A Case Study of Al-Hada Road, Makkah Province, Saudi Arabia
Talal Alharbi, Abdelbaset S. El‐Sorogy
(2023)
Open Access | Times Cited: 1
A risk minimization based approach for planning evacuation trip distribution
K. Nitheesh, B.K. Bhavathrathan, M. Manoj, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104051-104051
Closed Access | Times Cited: 1
Landslide Prediction in Mountainous Terrain Using Remote Sensing and GIS: A Case Study of Al-Hada Road, Makkah Province, Saudi Arabia
Talal Alharbi, Abdelbaset S. El‐Sorogy
(2023)
Open Access | Times Cited: 1
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