
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:
Forest fire flame and smoke detection from UAV-captured images using fire-specific color features and multi-color space local binary pattern
F M Anim Hossain, Youmin Zhang, Masuda Akter Tonima
Journal of Unmanned Vehicle Systems (2020) Vol. 8, Iss. 4, pp. 285-309
Closed Access | Times Cited: 74
F M Anim Hossain, Youmin Zhang, Masuda Akter Tonima
Journal of Unmanned Vehicle Systems (2020) Vol. 8, Iss. 4, pp. 285-309
Closed Access | Times Cited: 74
Showing 1-25 of 74 citing articles:
A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms
Abdelmalek Bouguettaya, Hafed Zarzour, Amine Mohammed Taberkit, et al.
Signal Processing (2021) Vol. 190, pp. 108309-108309
Closed Access | Times Cited: 171
Abdelmalek Bouguettaya, Hafed Zarzour, Amine Mohammed Taberkit, et al.
Signal Processing (2021) Vol. 190, pp. 108309-108309
Closed Access | Times Cited: 171
A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement
Zhenyang Xue, Haifeng Lin, Fang Wang
Forests (2022) Vol. 13, Iss. 8, pp. 1332-1332
Open Access | Times Cited: 96
Zhenyang Xue, Haifeng Lin, Fang Wang
Forests (2022) Vol. 13, Iss. 8, pp. 1332-1332
Open Access | Times Cited: 96
Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset
Xiwen Chen, Bryce Hopkins, Hao Wang, et al.
IEEE Access (2022) Vol. 10, pp. 121301-121317
Open Access | Times Cited: 84
Xiwen Chen, Bryce Hopkins, Hao Wang, et al.
IEEE Access (2022) Vol. 10, pp. 121301-121317
Open Access | Times Cited: 84
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review
Yago Díez, Sarah Kentsch, Motohisa Fukuda, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2837-2837
Open Access | Times Cited: 99
Yago Díez, Sarah Kentsch, Motohisa Fukuda, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2837-2837
Open Access | Times Cited: 99
A high-precision forest fire smoke detection approach based on ARGNet
Jialei Zhan, Yaowen Hu, Guoxiong Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106874-106874
Closed Access | Times Cited: 70
Jialei Zhan, Yaowen Hu, Guoxiong Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106874-106874
Closed Access | Times Cited: 70
A Wildfire Smoke Detection System Using Unmanned Aerial Vehicle Images Based on the Optimized YOLOv5
Mukhriddin Mukhiddinov, Akmalbek Abdusalomov, Jinsoo Cho
Sensors (2022) Vol. 22, Iss. 23, pp. 9384-9384
Open Access | Times Cited: 65
Mukhriddin Mukhiddinov, Akmalbek Abdusalomov, Jinsoo Cho
Sensors (2022) Vol. 22, Iss. 23, pp. 9384-9384
Open Access | Times Cited: 65
FFireNet: Deep Learning Based Forest Fire Classification and Detection in Smart Cities
Somaiya Khan, Ali Khan
Symmetry (2022) Vol. 14, Iss. 10, pp. 2155-2155
Open Access | Times Cited: 64
Somaiya Khan, Ali Khan
Symmetry (2022) Vol. 14, Iss. 10, pp. 2155-2155
Open Access | Times Cited: 64
A survey on vision-based outdoor smoke detection techniques for environmental safety
Shubhangi Chaturvedi, Pritee Khanna, Aparajita Ojha
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 185, pp. 158-187
Closed Access | Times Cited: 60
Shubhangi Chaturvedi, Pritee Khanna, Aparajita Ojha
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 185, pp. 158-187
Closed Access | Times Cited: 60
Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing
Felix Omoruwou, Arnold Adimabua Ojugo, Solomon Ebuka Ilodigwe
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 346-357
Open Access | Times Cited: 11
Felix Omoruwou, Arnold Adimabua Ojugo, Solomon Ebuka Ilodigwe
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 346-357
Open Access | Times Cited: 11
YOLOGX: an improved forest fire detection algorithm based on YOLOv8
Caixiong Li, Yue Du, Xing Zhang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access | Times Cited: 1
Caixiong Li, Yue Du, Xing Zhang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access | Times Cited: 1
Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review
Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 1924-1924
Open Access | Times Cited: 1
Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 1924-1924
Open Access | Times Cited: 1
Fault-Tolerant Time-Varying Elliptical Formation Control of Multiple Fixed-Wing UAVs for Cooperative Forest Fire Monitoring
Ziquan Yu, Youmin Zhang, Bin Jiang, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 101, Iss. 3
Closed Access | Times Cited: 53
Ziquan Yu, Youmin Zhang, Bin Jiang, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 101, Iss. 3
Closed Access | Times Cited: 53
A Vision-Based Detection and Spatial Localization Scheme for Forest Fire Inspection from UAV
Kangjie Lu, Renjie Xu, Junhui Li, et al.
Forests (2022) Vol. 13, Iss. 3, pp. 383-383
Open Access | Times Cited: 36
Kangjie Lu, Renjie Xu, Junhui Li, et al.
Forests (2022) Vol. 13, Iss. 3, pp. 383-383
Open Access | Times Cited: 36
Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT)
Ali Akbar Siddique, Nada Alasbali, Maha Driss, et al.
Internet of Things (2023) Vol. 25, pp. 101013-101013
Open Access | Times Cited: 18
Ali Akbar Siddique, Nada Alasbali, Maha Driss, et al.
Internet of Things (2023) Vol. 25, pp. 101013-101013
Open Access | Times Cited: 18
High-Resolution Estimates of Fire Severity—An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia
Samuel Hillman, Bryan Hally, Luke Wallace, et al.
Fire (2021) Vol. 4, Iss. 1, pp. 14-14
Open Access | Times Cited: 34
Samuel Hillman, Bryan Hally, Luke Wallace, et al.
Fire (2021) Vol. 4, Iss. 1, pp. 14-14
Open Access | Times Cited: 34
IMANoBAS: An Improved Multi-Mode Alert Notification IoT-based Anti-Burglar Defense System
Edith Ugochi Omede, Abel E. Edje, Maureen Ifeanyi Akazue, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 273-283
Open Access | Times Cited: 6
Edith Ugochi Omede, Abel E. Edje, Maureen Ifeanyi Akazue, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 273-283
Open Access | Times Cited: 6
Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 5
Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 5
Computer Vision for Fire Detection on UAVs—From Software to Hardware
Seraphim S. Moumgiakmas, Gerasimos G. Samatas, George A. Papakostas
Future Internet (2021) Vol. 13, Iss. 8, pp. 200-200
Open Access | Times Cited: 31
Seraphim S. Moumgiakmas, Gerasimos G. Samatas, George A. Papakostas
Future Internet (2021) Vol. 13, Iss. 8, pp. 200-200
Open Access | Times Cited: 31
Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation
Pirunthan Keerthinathan, A. Narmilan, Grant Hamilton, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 18, pp. 5628-5685
Open Access | Times Cited: 12
Pirunthan Keerthinathan, A. Narmilan, Grant Hamilton, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 18, pp. 5628-5685
Open Access | Times Cited: 12
An Improved Forest Smoke Detection Model Based on YOLOv8
Yue Wang, Yan Piao, Haowen Wang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 409-409
Open Access | Times Cited: 4
Yue Wang, Yan Piao, Haowen Wang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 409-409
Open Access | Times Cited: 4
Fire Detection with Deep Learning: A Comprehensive Review
Rodrigo Nogueira de Vasconcelos, Washington Franca-Rocha, Diego P. Costa, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 4
Rodrigo Nogueira de Vasconcelos, Washington Franca-Rocha, Diego P. Costa, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 4
A multi-agency coordination resource allocation and routing decision-making problem: A coordinated truck-and-drone DSS for improved wildfire detection coverage
Maryam Momeni, Hamed Soleimani, Shahrooz Shahparvari, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104027-104027
Closed Access | Times Cited: 10
Maryam Momeni, Hamed Soleimani, Shahrooz Shahparvari, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104027-104027
Closed Access | Times Cited: 10
Improved Lightweight YOLOv11 Algorithm for Real-Time Forest Fire Detection
Ye Tao, Bangyu Li, Peiru Li, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1508-1508
Open Access
Ye Tao, Bangyu Li, Peiru Li, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1508-1508
Open Access
Determining Optimal Asset Location for Rapid and Efficient Wildfire Suppression: A Simulation-Based Approach
Daniel Hulse, Seydou Mbaye, Misty Davies
AIAA SCITECH 2022 Forum (2025)
Closed Access
Daniel Hulse, Seydou Mbaye, Misty Davies
AIAA SCITECH 2022 Forum (2025)
Closed Access
Fusion of Deep Features of Wavelet Transform for Wildfire Detection
Akbar Asgharzadeh-Bonab, Salar Ghamati, Farid Ahmadi, et al.
Advances in Multimedia (2025) Vol. 2025, Iss. 1
Open Access
Akbar Asgharzadeh-Bonab, Salar Ghamati, Farid Ahmadi, et al.
Advances in Multimedia (2025) Vol. 2025, Iss. 1
Open Access