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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-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2757-2757
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Wei Han, Xiaohan Zhang, Yi Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 87-113
Closed Access | Times Cited: 119
Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 91
DEM resolution effects on machine learning performance for flood probability mapping
Mohammadtaghi Avand, Alban Kuriqi, Majid Khazaei, et al.
Journal of Hydro-environment Research (2021) Vol. 40, pp. 1-16
Open Access | Times Cited: 104
GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
Wenwu Chen, Shuai Zhang
CATENA (2021) Vol. 203, pp. 105344-105344
Closed Access | Times Cited: 77
Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods
Qian He, Ziyu Jiang, Ming Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1572-1572
Open Access | Times Cited: 64
Forest fire susceptibility assessment using google earth engine in Gangwon-do, Republic of Korea
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 432-450
Open Access | Times Cited: 49
Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards
Ömer Ekmekcioğlu, Kerim Koç
CATENA (2022) Vol. 216, pp. 106379-106379
Closed Access | Times Cited: 44
Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, et al.
Natural Hazards (2023) Vol. 116, Iss. 3, pp. 3797-3816
Open Access | Times Cited: 42
Wildfire hazard mapping in the eastern Mediterranean landscape
Andrea Trucchia, Giorgio Meschi, Paolo Fiorucci, et al.
International Journal of Wildland Fire (2023) Vol. 32, Iss. 3, pp. 417-434
Open Access | Times Cited: 25
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
Sanjeev Sharma, Puskar Khanal
Fire (2024) Vol. 7, Iss. 6, pp. 205-205
Open Access | Times Cited: 9
Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran
Mohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh lasboyee
Advances in Space Research (2021) Vol. 67, Iss. 10, pp. 3169-3186
Closed Access | Times Cited: 55
Detection of areas prone to flood risk using state-of-the-art machine learning models
Romulus Costache, Alireza Arabameri, Ismail Elkhrachy, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1488-1507
Open Access | Times Cited: 53
Employing multi-criteria decision analysis and geospatial techniques to assess flood risks: A study of Barguna district in Bangladesh
Nur Mohammad Ha-Mim, Md. Abdur Rahman, Md. Zakir Hossain, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 77, pp. 103081-103081
Closed Access | Times Cited: 30
Machine learning-enabled regional multi-hazards risk assessment considering social vulnerability
Tianjie Zhang, Donglei Wang, Yang Lu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 20
Mapping landslide susceptibility in the Debretabor-Alember road sector, Northwestern Ethiopia through geospatial tools and statistical approaches
Betelhem Tesfaye, Muralitharan Jothimani, D. Zerihun
Journal of Degraded and Mining Lands Management (2024) Vol. 11, Iss. 2, pp. 5169-5179
Open Access | Times Cited: 7
Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors
Wenbin Li, Xuanmei Fan, Faming Huang, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4134-4134
Open Access | Times Cited: 47
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: 28
Unified hazard models for risk assessment of transportation networks in a multi-hazard environment
Άννα Καρατζέτζου, Stefanos Stefanidis, Sotiria Stefanidou, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 75, pp. 102960-102960
Closed Access | Times Cited: 27
Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model
Sunil Saha, Anik Saha, Bishnu Roy, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2637-2662
Closed Access | Times Cited: 26
Multi-hazard mapping of droughts and forest fires using a multi-layer hazards approach with machine learning algorithms
Yong Piao, Dong Kun Lee, Sang-Jin Park, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2649-2673
Open Access | Times Cited: 23
Spatial Assessment of Flood Susceptibility in Assam, India: A Comparative Study of Frequency Ratio and Shannon’s Entropy Models
Leena Chetia, Saikat Kumar Paul
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 2, pp. 343-358
Closed Access | Times Cited: 6
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
Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques
Hüseyın Akay
CATENA (2021) Vol. 206, pp. 105524-105524
Closed Access | Times Cited: 32
Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia)
Uroš Durlević, Ivan Novković, Tin Lukić, et al.
Open Geosciences (2021) Vol. 13, Iss. 1, pp. 1414-1431
Open Access | Times Cited: 31
Landslide susceptibility assessment using statistical and machine learning techniques: A case study in the upper reaches of the Minjiang River, southwestern China
Sixiang Ling, Siyuan Zhao, Junpeng Huang, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 21
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