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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:

Using Artificial Intelligence for Safe and Effective Wildfire Evacuations
Xilei Zhao, Ruggiero Lovreglio, Erica D. Kuligowski, et al.
Fire Technology (2020) Vol. 57, Iss. 2, pp. 483-485
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Deploying artificial intelligence for climate change adaptation
Walter Leal Filho, Tony Wall, Serafino Afonso Rui Mucova, et al.
Technological Forecasting and Social Change (2022) Vol. 180, pp. 121662-121662
Open Access | Times Cited: 150
Estimating wildfire evacuation decision and departure timing using large-scale GPS data
Xilei Zhao, Yiming Xu, Ruggiero Lovreglio, et al.
Transportation Research Part D Transport and Environment (2022) Vol. 107, pp. 103277-103277
Open Access | Times Cited: 43
Human and infrastructure exposure to large wildfires in the United States
Arash Modaresi Rad, John T. Abatzoglou, Jason Kreitler, et al.
Nature Sustainability (2023) Vol. 6, Iss. 11, pp. 1343-1351
Open Access | Times Cited: 35
Predicting and Assessing Wildfire Evacuation Decision-Making Using Machine Learning: Findings from the 2019 Kincade Fire
Ningzhe Xu, Ruggiero Lovreglio, Erica D. Kuligowski, et al.
Fire Technology (2023) Vol. 59, Iss. 2, pp. 793-825
Closed Access | Times Cited: 25
Wildfire risk modeling
Sandra Oliveira, Jorge Rocha, Ana C. L. Sá
Current Opinion in Environmental Science & Health (2021) Vol. 23, pp. 100274-100274
Closed Access | Times Cited: 50
Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods
Yuran Sun, Shih‐Kai Huang, Xilei Zhao
International Journal of Disaster Risk Science (2024) Vol. 15, Iss. 1, pp. 134-148
Open Access | Times Cited: 7
AI for large-scale evacuation modeling: promises and challenges
Yuran Sun, Xilei Zhao, Ruggiero Lovreglio, et al.
Elsevier eBooks (2024), pp. 185-204
Closed Access | Times Cited: 6
Improving wildland fire spread prediction using deep U-Nets
Fadoua Khennou, Moulay A. Akhloufi
Science of Remote Sensing (2023) Vol. 8, pp. 100101-100101
Open Access | Times Cited: 10
Data-driven investigations of using social media to aid evacuations amid Western United States wildfire season
Lingyao Li, Zihui Ma, Tao Cao
Fire Safety Journal (2021) Vol. 126, pp. 103480-103480
Closed Access | Times Cited: 23
Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
Xiaojian Zhang, Xilei Zhao, Yiming Xu, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 190, pp. 104242-104242
Open Access | Times Cited: 3
The analysis of traffic data of wildfire evacuation: the case study of the 2020 Glass Fire
Arthur Rohaert, Nima Janfeshanaraghi, Erica D. Kuligowski, et al.
Fire Safety Journal (2023) Vol. 141, pp. 103909-103909
Open Access | Times Cited: 8
Large-scale fire whirl and forest fire disasters: Awareness, implications, and the need for developing preventative methods
Adnan Darwish Ahmad, Nelson K. Akafuah, Jason Forthofer, et al.
Frontiers in Mechanical Engineering (2023) Vol. 9
Open Access | Times Cited: 7
Digital Technologies for Fire Evacuations
Ruggiero Lovreglio, Daniel Paes, Zhongxiang Feng, et al.
(2024), pp. 439-454
Closed Access | Times Cited: 2
What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters
Lorena Daphna Kuratle, Irina Dallo, Michèle Marti, et al.
Seismica (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Situational-Aware Multi-Graph Convolutional Recurrent Network (Sa-Mgcrn) for Travel Demand Forecasting During Wildfires
Xiaojian Zhang, Xilei Zhao, Yiming Xu, et al.
(2024)
Open Access | Times Cited: 2
Toward Simulating Dire Wildfire Scenarios
Thomas J. Cova, Dapeng Li, Laura K. Siebeneck, et al.
Natural Hazards Review (2021) Vol. 22, Iss. 3
Closed Access | Times Cited: 11
Review of Research on Human Behavior in Large Outdoor Fires
Negar Elhami Khorasani, Max Kinateder, Vincent Lemiale, et al.
Fire Technology (2023) Vol. 59, Iss. 4, pp. 1341-1377
Closed Access | Times Cited: 4
Assessing wildfire exposure and social vulnerability at the local scale using a GIS-based approach
Ana Gonçalves, Sandra Oliveira, José Luı́s Zêzere
MethodsX (2024) Vol. 12, pp. 102650-102650
Open Access | Times Cited: 1
Adaptando políticas e programas de preparação das pessoas às realidades locais: a implementação dos programas aldeia segura, pessoas seguras no município de Góis
Marco Dias, Diogo Miguel Pinto, André Samora-Arvela, et al.
Faculdade de Letras da Universidade do Porto eBooks (2023), pp. 347-363
Open Access | Times Cited: 2
A highway vehicle routing dataset during the 2019 Kincade Fire evacuation
Yiming Xu, Xilei Zhao, Ruggiero Lovreglio, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 3
Data-Driven Modeling of Hurricane Evacuee’s Individual Decision-Making for Enhanced Hurricane Evacuation Planning: Florida Case Study in the COVID-19 Pandemic
Shijie Chen, Yanshuo Sun, Tingting Zhao, et al.
Natural Hazards Review (2024) Vol. 25, Iss. 4
Closed Access
Modelling the unidirectional and bidirectional flow of pedestrians based on convolutional neural networks
Tao Wang, Zhichao Zhang, Tingting Nong, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 651, pp. 130021-130021
Closed Access
Participatory modelling: precedents and prospects for civil engineering
Bryann Avendaño-Uribe, Mark Milke, Daniel Castillo
Civil Engineering and Environmental Systems (2022) Vol. 39, Iss. 2, pp. 93-122
Closed Access | Times Cited: 2
A Fire Community Observatory: Interdisciplinary, AI-informed Post-Fire Rapid Response for Improved Water Cycle Science at Watershed Scale
Michelle Newcomer, E. Natasha Stavros, Rachel S. Meyer, et al.
(2021)
Closed Access | Times Cited: 1
Risk and Resilience in the Age of Algorithmic Governance
Peter Rogers, James Bohland, Andreas Rechkemmer
Oxford University Press eBooks (2023)
Closed Access
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