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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:

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: 22

Showing 22 citing articles:

Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes
Gizem Karakaş, Erdinç Örsan Ünal, Sinem Çetınkaya, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108491-108491
Closed Access | Times Cited: 12
Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine applications
Mirza Waleed, Muhammad Sajjad
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104056-104056
Closed Access | Times Cited: 22
Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks
Xiangqi Lei, Hanhu Liu, Zhe Chen, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Enhancing flash flood susceptibility modeling in arid regions: integrating digital soil mapping and machine learning algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access
Settlement Site Selection Model for Multihazard Risky Areas with Open Source Web-GIS, Machine Learning, and MCDM
Şevket Bediroğlu
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
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
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan
Mirza Waleed, Muhammad Sajjad
Journal of Flood Risk Management (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China
Yong Song, Yingxu Song, Chengnan Wang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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
Application of landslide susceptibility towards urbanization suitability zonation in mountainous settings
Bipin Peethambaran, Ben Leshchinsky
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104061-104061
Closed Access | Times Cited: 6
DEPREM SONRASI RİSKLERİ ANLAMAK: OLASI MARMARA DEPREMİNE YÖNELİK BİR ANALİZ
Muhammet Mustafa Akkan, Müşerref Arık
Akademik Yaklaşımlar Dergisi (2024) Vol. 15, Iss. 1 -Deprem Özel Sayısı-, pp. 75-114
Open Access | Times Cited: 1
Multi-hazard direct economic loss risk assessment on the Tibet Plateau
Ru Ya, Jidong Wu, Rumei Tang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
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
Random forest-based multi-hazard loss estimation using hypothetical data at seismic and tsunami monitoring networks
Yao Li, Katsuichiro Goda
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network
Ruixuan Huang, Bin Zeng, Dong Ai, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access
Impact of geohazards on cadastral data: an assessment after the 6 February 2023 Kahramanmaras earthquakes (Türkiye)
Ümit Cafer Yildiz, Candan Gökçeoğlu, Sultan Kocaman
Natural Hazards (2024)
Open Access
Enhancing Flash Flood Susceptibility Modeling in Arid Regions: Integrating Digital Soil Mapping and Machine Learning Algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Research Square (Research Square) (2024)
Closed 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
Landscape management for disaster-prone cities: disaster resilient park proposal
Ömer Faruk BAŞGÜN, Yahya Bulut
Journal of Environmental Engineering and Landscape Management (2024) Vol. 33, Iss. 2, pp. 187-206
Open Access
MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE)
Gizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-M-1-2023, pp. 529-536
Open Access | Times Cited: 1
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