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:

Machine Learning in Disaster Management: Recent Developments in Methods and Applications
Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 2, pp. 446-473
Open Access | Times Cited: 133

Showing 26-50 of 133 citing articles:

First Responder Communication Systems: A Technical Analysis of Interoperability and Situational Awareness Optimization
Swarnamouli Majumdar, Anjali Awasthi, Sonny Kirkley
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2025), pp. 00331-00339
Closed 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
The development of new remote technologies in disaster medicine education: A scoping review
Chia‐Lung Kao, Li-Chien Chien, Mei-Chin Wang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 14
Press media impact of the Cumbre Vieja volcano activity in the island of La Palma (Canary Islands): A machine learning and sentiment analysis of the news published during the volcanic eruption of 2021
Jorge Navarro, Jesus Urias Piña, Fernando Magdaleno, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 91, pp. 103694-103694
Open Access | Times Cited: 12
A decision-making tool for the determination of the distribution center location in a humanitarian logistics network
Xenofon Taouktsis, Christos Zikopoulos
Expert Systems with Applications (2023) Vol. 238, pp. 122010-122010
Closed Access | Times Cited: 12
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 12
Can Ensemble Techniques and Large-Scale Fire Datasets Improve Predictions of Forest Fire Probability Due to Climate Change?—A Case Study from the Republic of Korea
Hyeon Kwon Ahn, Huicheul Jung, Chul-Hee Lim
Forests (2024) Vol. 15, Iss. 3, pp. 503-503
Open Access | Times Cited: 4
The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning
Mohamed G Moh Almihat, Josiah L. Munda
Energies (2025) Vol. 18, Iss. 7, pp. 1618-1618
Open Access
Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach
Pejman Peykani, Fatemeh Sadat Seyed Esmaeili, Mirpouya Mirmozaffari, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 3, pp. 688-699
Open Access | Times Cited: 19
The Warning Lexicon: A Multiphased Study to Identify, Design, and Develop Content for Warning Messages
Jeannette Sutton, Michele K. Olson, Nicholas A. Waugh
Natural Hazards Review (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction
Harshita Jain, Renu Dhupper, Anamika Shrivastava, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
Social media data extraction for disaster management aid using deep learning techniques
Trisha Vishwanath, Rudresh Deepak Shirwaikar, Washitwa Mani Jaiswal, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100961-100961
Closed Access | Times Cited: 10
Detection of Earthquake-Induced Building Damages Using Remote Sensing Data and Deep Learning: A Case Study of Mashiki Town, Japan
Muhammad Salem, Ahmed Gomaa, Naoki Tsurusaki
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)
Closed Access | Times Cited: 10
Enhanced Arabic disaster data classification using domain adaptation
Abdullah M. Moussa, Sherif Abdou, Khaled Elsayed, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301255-e0301255
Open Access | Times Cited: 3
Artificial intelligence and machine learning for disaster prediction: a scientometric analysis of highly cited papers
Mallikarjun Kappi, B Mallikarjuna
Natural Hazards (2024) Vol. 120, Iss. 12, pp. 10443-10463
Closed Access | Times Cited: 3
An Overview of Machine Learning Applications in Disaster Waste Management
Shikha Pandey, Prem Chandra Pandey, Romulus Costache, et al.
Springer eBooks (2024), pp. 469-499
Closed Access | Times Cited: 3
Natural disaster damage analysis using lightweight spatial feature aggregated deep learning model
Kibitok Abraham, Mohammed Abo‐Zahhad, Moataz M. Abdelwahab
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3149-3161
Closed Access | Times Cited: 3
Combining Machine Learning (ML) and Participatory Rural Appraisal (PRA) for Disaster Risk Preparedness (DRP): Evidence from the Poorest Region of Luzon, Philippines
Emmanuel A. Onsay, Jomar F. Rabajante
International Journal of Disaster Risk Reduction (2024) Vol. 112, pp. 104809-104809
Closed Access | Times Cited: 3
Complementarity, Interoperability, and Level of Integration of Humanitarian Drones with Emerging Digital Technologies: A State-of-the-Art Systematic Literature Review of Mathematical Models
Eleni Aretoulaki, Stavros T. Ponis, George Plakas
Drones (2023) Vol. 7, Iss. 5, pp. 301-301
Open Access | Times Cited: 8
Predictive modeling of severe weather impact on individuals and populations using Machine Learning
Jordi Iglesias, Ildefonso Cuesta, Clara Salueña, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 105, pp. 104398-104398
Open Access | Times Cited: 2
A machine learning approach to deal with ambiguity in the humanitarian decision‐making
Emilia Graß, Janosch Ortmann, Burcu Balcik, et al.
Production and Operations Management (2023) Vol. 32, Iss. 9, pp. 2956-2974
Open Access | Times Cited: 7
Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection
Angelo J. Soto-Vergel, Juan C. Vélez, René Amaya–Mier, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104094-104094
Closed Access | Times Cited: 7
Reshaping Disaster Resilience
R. Sıva Subramanıan, D. Prabha, S. Srinivasan, et al.
Advances in computational intelligence and robotics book series (2024), pp. 41-63
Closed Access | Times Cited: 2
Controversial issues in crisis management. Bridging public policy and crisis management to better understand and address crises
Giliberto Capano, Federico Toth
Risk Hazards & Crisis in Public Policy (2024)
Open Access | Times Cited: 2
ChatGPT in transforming communication in seismic engineering: Case studies, implications, key challenges and future directions
Partha Pratim Ray
Earthquake Science (2024) Vol. 37, Iss. 4, pp. 352-367
Open Access | Times Cited: 2

Scroll to top