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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:

Earthquake Vulnerability Mapping Using Different Hybrid Models
Peyman Yariyan, Mohammadtaghi Avand, Fariba Soltani, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 405-405
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Pathways and challenges of the application of artificial intelligence to geohazards modelling
Abhirup Dikshit, Biswajeet Pradhan, Abdullah Alamri
Gondwana Research (2020) Vol. 100, pp. 290-301
Open Access | Times Cited: 152
Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping
Peyman Yariyan, Saeid Janizadeh, Tran Van Phong, et al.
Water Resources Management (2020) Vol. 34, Iss. 9, pp. 3037-3053
Closed Access | Times Cited: 148
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability
Mohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh lasboyee
Journal of Hydrology (2020) Vol. 595, pp. 125663-125663
Closed Access | Times Cited: 130
Flood susceptibility mapping using an improved analytic network process with statistical models
Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 2282-2314
Open Access | Times Cited: 126
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 Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
Viet‐Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 2039-2039
Open Access | Times Cited: 98
New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping
Romulus Costache, Roxana Ţîncu, Ismail Elkhrachy, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 16, pp. 2816-2837
Closed Access | Times Cited: 65
Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Peyman Yariyan, Mohammadtaghi Avand, Ebrahim Omidvar, et al.
Geocarto International (2021) Vol. 37, Iss. 13, pp. 3877-3911
Closed Access | Times Cited: 46
Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey
Mahyat Shafapour Tehrany, Peyman Yariyan, Haluk Özener, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 79, pp. 103154-103154
Closed Access | Times Cited: 35
Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran
Rasoul Afsari, Saman Nadizadeh Shorabeh, Amir Reza Bakhshi Lomer, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1248-1248
Open Access | Times Cited: 19
Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation
Omid Ghorbanzadeh, Hejar Shahabi, Fahimeh Mirchooli, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 1653-1678
Open Access | Times Cited: 49
Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest
Jihye Han, Jinsoo Kim, So-Young Park, et al.
Sustainability (2020) Vol. 12, Iss. 18, pp. 7787-7787
Open Access | Times Cited: 40
Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping
negar shabanpour, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102854-102854
Open Access | Times Cited: 24
Seismic vulnerability assessment model of civil structure using machine learning algorithms: a case study of the 2014 Ms6.5 Ludian earthquake
Hanxu Zhou, Ailan Che, Shuai Xiang-hua, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6481-6508
Closed Access | Times Cited: 5
Assessing the susceptibility of schools to flood events in Iran
Saleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 31
Earthquake vulnerability assessment for the Indian subcontinent using the Long Short-Term Memory model (LSTM)
Ratiranjan Jena, Sambit Prasanajit Naik, Biswajeet Pradhan, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 66, pp. 102642-102642
Closed Access | Times Cited: 27
Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea
Ju Hyoung Han, Arip Syaripudin Nur, Mutiara Syifa, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1365-1365
Open Access | Times Cited: 24
A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models
Rachna Jain, Anand Nayyar, Simrann Arora, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 18, pp. 28419-28438
Closed Access | Times Cited: 24
A GIS-Based Assessment of Urban Tourism Potential with a Branding Approach Utilizing Hybrid Modeling
Majid Dadashpour Moghaddam, Hassan Ahmadzadeh, Řeža Valizadeh
Spatial Information Research (2022) Vol. 30, Iss. 3, pp. 399-416
Open Access | Times Cited: 19
Landslide susceptibility mapping using GIS-based bivariate models in the Rif chain (northernmost Morocco)
Abderrazzak Es-smairi, Brahim El Moutchou, Abdelouahed El Ouazani Touhami, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 15347-15377
Closed Access | Times Cited: 18
Earthquake vulnerability assessment of the built environment in the city of Srinagar, Kashmir Himalaya, using a geographic information system
Midhat Fayaz, Shakil Ahmad Romshoo, Irfan Rashid, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 4, pp. 1593-1611
Open Access | Times Cited: 10
Assessing and measuring the vulnerability of highway construction projects with BIM using artificial intelligence optimization algorithms
Baojun Zhao, Wei Zheng, Shuai Li, et al.
Environment Development and Sustainability (2025)
Closed Access
Seismic risk assessment of transportation networks for the impending Istanbul earthquake with GIS-based MCDM approach
Kadir Diler Alemdar
Natural Hazards (2025)
Open Access
A Bibliometric Analysis of Multi-Criteria Decision-Making Techniques in Disaster Management and Transportation in Emergencies: Towards Sustainable Solutions
Ezgi Aktas Potur, Ahmet Aktaş, Mehmet Kabak
Sustainability (2025) Vol. 17, Iss. 6, pp. 2644-2644
Open Access
Integrated Modeling for Managing Catastrophic Risks

(2025), pp. 25-58
Closed Access
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