Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Socio-Psychological, Economic and Environmental Effects of Forest Fires
by Stavros Kalogiannidis, Fotios Chatzitheodoridis, Dimitrios Kalfas, Christina Patitsa and Aristidis Papagrigoriou
 
Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
by Chengtuo Jin, Tao Wang, Naji Alhusaini, Shenghui Zhao, Huilin Liu, Kun Xu and Jin Zhang
 
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
 
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
by Eman H. Alkhammash
 
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by Eman H. Alkhammash
 
FFYOLO: A Lightweight Forest Fire Detection Model Based on YOLOv8
by Bensheng Yun, Yanan Zheng, Zhenyu Lin and Tao Li
 
Recent Developments in Hydrogen Production, Storage, and Transportation: Challenges, Opportunities, and Perspectives
by Sanjay Kumar Singh Patel, Rahul K. Gupta, M. V. Rohit and Jung-Kul Lee
 
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
 
YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images
by Leon Augusto Okida Gonçalves, Rafik Ghali and Moulay A. Akhloufi
 
CNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM
by Yiqing Xu, Jiaming Li, Long Zhang, Hongying Liu and Fuquan Zhang
Views Article
Lightning-Induced Wildfires: An Overview
by Yang Song, Cangsu Xu, Xiaolu Li and Francis Oppong
Assessment of Burned Areas during the Pantanal Fire Crisis in 2020 Using Sentinel-2 Images
by Yosio Edemir Shimabukuro, Gabriel de Oliveira, Gabriel Pereira, Egidio Arai, Francielle Cardozo, Andeise Cerqueira Dutra and Guilherme Mataveli
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
by Chengtuo Jin, Tao Wang, Naji Alhusaini, Shenghui Zhao, Huilin Liu, Kun Xu and Jin Zhang
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
Recent Advances and Emerging Directions in Fire Detection Systems Based on Machine Learning Algorithms
by Bogdan Marian Diaconu
A Comprehensive Review on Intumescent Coatings: Formulation, Manufacturing Methods, Research Development, and Issues
by Touha Nazrun, Md Kamrul Hassan, Md Rayhan Hasnat, Md Delwar Hossain, Bulbul Ahmed and Swapan Saha
Fire Regimes of Utah: The Past as Prologue
by Joseph D. Birch and James A. Lutz
Fire Incidents, Trends, and Risk Mitigation Framework of Electrical Vehicle Cars in Australia
by Md Kamrul Hassan, Nazra Hameed, Md Delwar Hossain, Md Rayhan Hasnat, Grahame Douglas, Sameera Pathirana, Payam Rahnamayiezekavat and Swapan Saha
Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models
by Mohamed Chetoui and Moulay A. Akhloufi
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Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
by Chengtuo Jin, Tao Wang, Naji Alhusaini, Shenghui Zhao, Huilin Liu, Kun Xu and Jin Zhang
Risk Assessment of Explosion Accidents in Hydrogen Fuel-Cell Rooms Using Experimental Investigations and Computational Fluid Dynamics Simulations
by Byoungjik Park, Yangkyun Kim and In-Ju Hwang
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
Exploring and Testing Wildfire Risk Decision-Making in the Face of Deep Uncertainty
by Bart R. Johnson, Alan A. Ager, Cody R. Evers, David W. Hulse, Max Nielsen-Pincus, Timothy J. Sheehan and John P. Bolte
Reconnecting Fire Culture of Aboriginal Communities with Contemporary Wildfire Risk Management
by Amos Atkinson and Cristina Montiel-Molina
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
Recent Advances and Emerging Directions in Fire Detection Systems Based on Machine Learning Algorithms
by Bogdan Marian Diaconu
Socio-Psychological, Economic and Environmental Effects of Forest Fires
by Stavros Kalogiannidis, Fotios Chatzitheodoridis, Dimitrios Kalfas, Christina Patitsa and Aristidis Papagrigoriou
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
by Sanjeev Sharma and Puskar Khanal
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
by Eman H. Alkhammash

Most Cited & Viewed Special Issues

Published: Last 36 months
Avg. Citations Special Issue
 
13.93
Machine Learning (ML) and Deep Learning (DL) Applications in Wildfire Science: Principles, Progress and Prospects
Guest Editors , and | Number of Papers: 14
 
13
Advanced Approaches to Wildfire Detection, Monitoring and Surveillance
Guest Editors Darko Stipanicev and | Number of Papers: 12
 
6.71
Advances in Building Fire Safety Engineering
Guest Editors , and | Number of Papers: 14
 
5
Applications of Computational Statistics to Wildfire Science and Management
Guest Editor W. John Braun | Number of Papers: 10
 
4.55
Fire Safety Management and Risk Assessment
Guest Editors Shenshi Huang, Yubo Bi and Mingjun Xu | Number of Papers: 11
Published: Last 36 months
Views Special Issue
 
77513
Machine Learning (ML) and Deep Learning (DL) Applications in Wildfire Science: Principles, Progress and Prospects
Guest Editors , and | Number of Papers: 14
 
69344
Advances in Building Fire Safety Engineering
Guest Editors , and | Number of Papers: 14
 
66565
Advanced Approaches to Wildfire Detection, Monitoring and Surveillance
Guest Editors Darko Stipanicev and | Number of Papers: 12
 
44021
Fire Safety Management and Risk Assessment
Guest Editors Shenshi Huang, Yubo Bi and Mingjun Xu | Number of Papers: 11
 
27732
Advances in Industrial Fire and Urban Fire Research: 2nd Edition
Guest Editors , , and | Number of Papers: 11
 
27564
Applications of Computational Statistics to Wildfire Science and Management
Guest Editor W. John Braun | Number of Papers: 10
 
15208
Advances in Fire Science and Fire Protection Engineering
Guest Editors Haowei Yao, , Shaohua Mao, , Kaixuan Tang, Yulun Zhang and Peng Lei | Number of Papers: 10
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