Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 hazard and risk assessment using machine learning approaches at Palu, Indonesia
Ratiranjan Jena, Biswajeet Pradhan, Ghassan Beydoun, et al.
The Science of The Total Environment (2020) Vol. 749, pp. 141582-141582
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
Sheikh Kamran Abid, Noralfishah Sulaiman, Shiau Wei Chan, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12560-12560
Open Access | Times Cited: 116
Liquefaction Potential Assessment of Soils Using Machine Learning Techniques: A State-of-the-Art Review from 1994–2021
Kaushik Jas, G. R. Dodagoudar
International Journal of Geomechanics (2023) Vol. 23, Iss. 7
Closed Access | Times Cited: 26
Analysis of earthquake detection using deep learning: Evaluating reliability and uncertainty in prediction methods
Sebastián Gamboa-Chacón, Esteban Meneses, Esteban J. Chaves
Computers & Geosciences (2025) Vol. 197, pp. 105877-105877
Closed Access | Times Cited: 1
Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)
S.S. Matin, Biswajeet Pradhan
Sensors (2021) Vol. 21, Iss. 13, pp. 4489-4489
Open Access | Times Cited: 54
Multi-Hazard Risk Assessment of Kathmandu Valley, Nepal
Rajesh Khatakho, Dipendra Gautam, Komal Aryal, et al.
Sustainability (2021) Vol. 13, Iss. 10, pp. 5369-5369
Open Access | Times Cited: 50
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 18
Earthquake spatial probability and hazard estimation using various explainable AI (XAI) models at the Arabian peninsula
Ratiranjan Jena, Abdallah Shanableh, Rami Al‐Ruzouq, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 31, pp. 101004-101004
Open Access | Times Cited: 15
An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data
Zewei Zhang, Qingjie Qi, Cheng Ye, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2055-2055
Open Access | Times Cited: 6
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: 6
A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction
Zhenyu Bao, Jingyu Zhao, Pu Huang, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4434-4434
Open Access | Times Cited: 28
A Generalized Deep Learning Approach to Seismic Activity Prediction
Dost Muhammad, Iftikhar Ahmad, Muhammad Imran Khan Khalil, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1598-1598
Open Access | Times Cited: 13
An Urban Road Risk Assessment Framework Based on Convolutional Neural Networks
Juncai Jiang, Fei Wang, Yizhao Wang, et al.
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 3, pp. 475-487
Open Access | Times Cited: 13
Comprehensive review of AI and ML tools for earthquake damage assessment and retrofitting strategies
P. K. S. Bhadauria
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 3945-3962
Closed Access | Times Cited: 4
An Approach for Clustering of Seismic Events using Unsupervised Machine Learning
Мархаба Карменова, Aizhan Tlebaldinova, Юрий Крак, et al.
Acta Polytechnica Hungarica (2022) Vol. 19, Iss. 5, pp. 7-22
Open Access | Times Cited: 18
Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya
Roman Shults, Ashraf Farahat, Muhammad Usman, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 616-616
Open Access
Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access
Assessment of the seismic vulnerability in an urban area with the integration of machine learning methods and GIS
Ayhan Doğan, Murat Başeğmez, Cevdet Coşkun AYDIN
Natural Hazards (2025)
Open Access
Photovoltaic mobile charging station for green infrastructure: A data-driven case study
Ömer Kaya
Urban Climate (2025) Vol. 60, pp. 102358-102358
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 coastal risk analysis for the outermost small islands of Indonesia: a multiple natural hazards approach
Rima Harahap, Gerd Masselink, Sarah J. Boulton
International Journal of Disaster Risk Reduction (2025), pp. 105377-105377
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
Machine learning applications in risk management: Trends and research agenda
Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Erica Agudelo-Ceballos, et al.
F1000Research (2025) Vol. 14, pp. 233-233
Open Access
The Vulnerability Level of Residential Buildings in Surakarta City Related to Seismic Hazard
Setiono Setiono, Senot Sangadji, Stefanus Adi Kristiawan, et al.
Lecture notes in civil engineering (2025), pp. 77-85
Closed Access
A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China
Zhou Su-hua, Yunqiang Zhang, Xin Tan, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 6
Closed Access | Times Cited: 23
An integrated approach to seismic risk assessment using random forest and hierarchical analysis: Pisco, Peru
LUIS IZQUIERDO-HORNA, José Zevallos, Yustin Yepez
Heliyon (2022) Vol. 8, Iss. 10, pp. e10926-e10926
Open Access | Times Cited: 16
Page 1 - Next Page

Scroll to top