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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 machine learning framework for multi-hazards modeling and mapping in a mountainous area
Saleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 8
Closed Access | Times Cited: 110
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
Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 61
Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 858-858
Open Access | Times Cited: 24
Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios
Asish Saha, Subodh Chandra Pal, M. Santosh, et al.
Journal of Cleaner Production (2021) Vol. 320, pp. 128713-128713
Closed Access | Times Cited: 94
A deep learning ensemble model for wildfire susceptibility mapping
Alexandra Bjånes, Rodrigo De la Fuente, Pablo Mena
Ecological Informatics (2021) Vol. 65, pp. 101397-101397
Closed Access | Times Cited: 91
A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support
Karol Bot, José G. Borges
Inventions (2022) Vol. 7, Iss. 1, pp. 15-15
Open Access | Times Cited: 69
Data-Driven Wildfire Risk Prediction in Northern California
Ashima Malik, Megha Rajam Rao, Nandini Puppala, et al.
Atmosphere (2021) Vol. 12, Iss. 1, pp. 109-109
Open Access | Times Cited: 57
Multi-risk assessment in a historical city
Chiara Arrighi, Marco Tanganelli, Maria Teresa Cristofaro, et al.
Natural Hazards (2022) Vol. 119, Iss. 2, pp. 1041-1072
Open Access | Times Cited: 44
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 34
Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach
Kanda Naveen Babu, Rahul Gour, Kurian Ayushi, et al.
Forest Ecology and Management (2023) Vol. 540, pp. 121057-121057
Open Access | Times Cited: 31
SegNet: A segmented deep learning based Convolutional Neural Network approach for drones wildfire detection
Aditya Jonnalagadda, Hashim A. Hashim
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101181-101181
Open Access | Times Cited: 12
FLOOD HAZARD ZONES PREDICTION USING MACHINE-LEARNING-BASED GEOSPATIAL APPROACH IN LOWER NIGER RIVER BASIN, NIGERIA
Adedoyin Benson Adeyemi, Akinola Adesuji Komolafe
Natural Hazards Research (2025)
Open Access | Times Cited: 1
Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis
Maria Karpouza, Konstantinos Chousianitis, George D. Bathrellos, et al.
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 637-669
Closed Access | Times Cited: 49
Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
Husam A. H. Al-Najjar, Biswajeet Pradhan, Bahareh Kalantar, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3281-3281
Open Access | Times Cited: 46
Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters
Saleh Yousefi, Somayeh Mirzaee, Hussein Almohamad, et al.
Land (2022) Vol. 11, Iss. 7, pp. 993-993
Open Access | Times Cited: 35
Reviewing the multi-hazard concept. Application to volcanic islands
Marta López‐Saavedra, Joan Martı́
Earth-Science Reviews (2022) Vol. 236, pp. 104286-104286
Open Access | Times Cited: 33
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
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
A comprehensive review on the modeling of tropical cyclone boundary layer wind field
Y. L. Chang, Jiayao Wang, Sunwei Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 7
Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models
Naruephorn Tengtrairat, Wai Lok Woo, Phetcharat Parathai, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4620-4620
Open Access | Times Cited: 38
Toward the development of deep learning analyses for snow avalanche releases in mountain regions
Yunzhi Chen, Wei Chen, Omid Rahmati, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7855-7880
Open Access | Times Cited: 38
Machine learning-based assessment of storm surge in the New York metropolitan area
Mahmoud Ayyad, Muhammad R. Hajj, Reza Marsooli
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment: A Case Study of Bandung, Indonesia
Anjar Dimara Sakti, Kalingga Titon Nur Ihsan, Tania Septi Anggraini, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2796-2796
Open Access | Times Cited: 24
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
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