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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:

Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures
Panagiotis Barmpoutis, Tania Stathaki, Kosmas Dimitropoulos, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3177-3177
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing
Panagiotis Barmpoutis, Periklis Papaioannou, Kosmas Dimitropoulos, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6442-6442
Open Access | Times Cited: 384
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
Forest Fire Recognition Based on Feature Extraction from Multi-View Images
Di Wu, Chunjiong Zhang, Li Ji, et al.
Traitement du signal (2021) Vol. 38, Iss. 3, pp. 775-783
Open Access | Times Cited: 129
Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation
Rafik Ghali, Moulay A. Akhloufi, Wided Souidene Mseddi
Sensors (2022) Vol. 22, Iss. 5, pp. 1977-1977
Open Access | Times Cited: 110
A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety
Juan Jesús Roldán, Eduardo González-Gironda, Antonio Barrientos
Applied Sciences (2021) Vol. 11, Iss. 1, pp. 363-363
Open Access | Times Cited: 107
Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives
Alessio Fascista
Sensors (2022) Vol. 22, Iss. 5, pp. 1824-1824
Open Access | Times Cited: 102
A YOLOv6-Based Improved Fire Detection Approach for Smart City Environments
Saydirasulov Norkobil Saydirasulovich, Akmalbek Abdusalomov, Muhammad Kafeel Jamil, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3161-3161
Open Access | Times Cited: 66
A Brief Review of Machine Learning Algorithms in Forest Fires Science
Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8275-8275
Open Access | Times Cited: 66
Wildfire and Smoke Detection Using Staged YOLO Model and Ensemble CNN
Chayma Bahhar, Amel Ksibi, Manel Ayadi, et al.
Electronics (2023) Vol. 12, Iss. 1, pp. 228-228
Open Access | Times Cited: 58
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 48
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Jian Cheng, Changjian Deng, Yanzhou Su, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 1-34
Closed Access | Times Cited: 26
Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques
Aziza Ergasheva, Farkhod Akhmedov, Akmalbek Abdusalomov, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 84-84
Open Access | Times Cited: 18
An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems
Akmalbek Abdusalomov, Nodirbek Baratov, Alpamis Kutlimuratov, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6519-6519
Open Access | Times Cited: 93
A hybrid deep learning model by combining convolutional neural network and recurrent neural network to detect forest fire
Rajib Ghosh, Anupam Kumar
Multimedia Tools and Applications (2022) Vol. 81, Iss. 27, pp. 38643-38660
Closed Access | Times Cited: 44
Improved Real-Time Fire Warning System Based on Advanced Technologies for Visually Impaired People
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Alpamis Kutlimuratov, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7305-7305
Open Access | Times Cited: 42
Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation
Rafik Ghali, Moulay A. Akhloufi
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1821-1821
Open Access | Times Cited: 41
Forest Fire Smoke Detection Based on Deep Learning Approaches and Unmanned Aerial Vehicle Images
Soon-Young Kim, Azamjon Muminov
Sensors (2023) Vol. 23, Iss. 12, pp. 5702-5702
Open Access | Times Cited: 28
Lightning-Induced Wildfires: An Overview
Song Yang, Cangsu Xu, Xiaolu Li, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 79-79
Open Access | Times Cited: 11
Role of Machine Learning Algorithms in Forest Fire Management: A Literature Review
Muhammad Arif, Alghamdi Khloud K, Sahel Salma A, et al.
Journal of Robotics and Automation (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 47
MTL-FFDET: A Multi-Task Learning-Based Model for Forest Fire Detection
Kangjie Lu, Jingwen Huang, Junhui Li, et al.
Forests (2022) Vol. 13, Iss. 9, pp. 1448-1448
Open Access | Times Cited: 29
Forest Fire Segmentation via Temporal Transformer from Aerial Images
Mohammad Shahid, Shang‐Fu Chen, Yuling Hsu, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 563-563
Open Access | Times Cited: 23
Fire Detection and Notification Method in Ship Areas Using Deep Learning and Computer Vision Approaches
Kuldoshbay Avazov, Muhammad Kafeel Jamil, Bahodir Muminov, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7078-7078
Open Access | Times Cited: 23
Video Fire Detection Methods Based on Deep Learning: Datasets, Methods, and Future Directions
C Jin, Tao Wang, Naji Alhusaini, et al.
Fire (2023) Vol. 6, Iss. 8, pp. 315-315
Open Access | Times Cited: 23
An attention-based dual-encoding network for fire flame detection using optical remote sensing
Shuyi Kong, Jiahui Deng, Lei Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107238-107238
Closed Access | Times Cited: 21
Suburban Forest Fire Risk Assessment and Forest Surveillance Using 360-Degree Cameras and a Multiscale Deformable Transformer
Panagiotis Barmpoutis, Aristeidis Kastridis, Tania Stathaki, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 1995-1995
Open Access | Times Cited: 18
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