
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:
An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach
Akmalbek Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1512-1512
Open Access | Times Cited: 90
Akmalbek Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1512-1512
Open Access | Times Cited: 90
Showing 1-25 of 90 citing articles:
An improved fire detection approach based on YOLO-v8 for smart cities
Fatma M. Talaat, Hanaa ZainEldin
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20939-20954
Open Access | Times Cited: 298
Fatma M. Talaat, Hanaa ZainEldin
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 20939-20954
Open Access | Times Cited: 298
A modified YOLOv5 architecture for efficient fire detection in smart cities
Hikmat Yar, Zulfiqar Ahmad Khan, Fath U Min Ullah, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120465-120465
Closed Access | Times Cited: 65
Hikmat Yar, Zulfiqar Ahmad Khan, Fath U Min Ullah, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120465-120465
Closed Access | Times Cited: 65
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: 62
Saydirasulov Norkobil Saydirasulovich, Akmalbek Abdusalomov, Muhammad Kafeel Jamil, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3161-3161
Open Access | Times Cited: 62
Advancements in Forest Fire Prevention: A Comprehensive Survey
Francesco Carta, Chiara Zidda, Martina Putzu, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6635-6635
Open Access | Times Cited: 54
Francesco Carta, Chiara Zidda, Martina Putzu, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6635-6635
Open Access | Times Cited: 54
Forest Fire Detection and Notification Method Based on AI and IoT Approaches
Kuldoshbay Avazov, An Eui Hyun, A. S., et al.
Future Internet (2023) Vol. 15, Iss. 2, pp. 61-61
Open Access | Times Cited: 48
Kuldoshbay Avazov, An Eui Hyun, A. S., et al.
Future Internet (2023) Vol. 15, Iss. 2, pp. 61-61
Open Access | Times Cited: 48
An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images
Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8374-8374
Open Access | Times Cited: 44
Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8374-8374
Open Access | Times Cited: 44
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: 34
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 34
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 33
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 33
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: 16
Aziza Ergasheva, Farkhod Akhmedov, Akmalbek Abdusalomov, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 84-84
Open Access | Times Cited: 16
SWVR: A Lightweight Deep Learning Algorithm for Forest Fire Detection and Recognition
Li Jin, Yanqi Yu, Jianing Zhou, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 204-204
Open Access | Times Cited: 15
Li Jin, Yanqi Yu, Jianing Zhou, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 204-204
Open Access | Times Cited: 15
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
Eman H. Alkhammash
Fire (2025) Vol. 8, Iss. 1, pp. 17-17
Open Access | Times Cited: 2
Eman H. Alkhammash
Fire (2025) Vol. 8, Iss. 1, pp. 17-17
Open Access | Times Cited: 2
FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety
Furkat Safarov, Farkhod Akhmedov, Akmalbek Abdusalomov, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6459-6459
Open Access | Times Cited: 39
Furkat Safarov, Farkhod Akhmedov, Akmalbek Abdusalomov, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6459-6459
Open Access | Times Cited: 39
TeutongNet: A Fine-Tuned Deep Learning Model for Improved Forest Fire Detection
Ghazi Mauer Idroes, Aga Maulana, Rivansyah Suhendra, et al.
Leuser Journal of Environmental Studies (2023) Vol. 1, Iss. 1, pp. 1-8
Open Access | Times Cited: 30
Ghazi Mauer Idroes, Aga Maulana, Rivansyah Suhendra, et al.
Leuser Journal of Environmental Studies (2023) Vol. 1, Iss. 1, pp. 1-8
Open Access | Times Cited: 30
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: 27
Soon-Young Kim, Azamjon Muminov
Sensors (2023) Vol. 23, Iss. 12, pp. 5702-5702
Open Access | Times Cited: 27
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: 21
Kuldoshbay Avazov, Muhammad Kafeel Jamil, Bahodir Muminov, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7078-7078
Open Access | Times Cited: 21
M4 SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection
Guanbo Wang, Haiyan Li, Peng Li, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123489-123489
Closed Access | Times Cited: 14
Guanbo Wang, Haiyan Li, Peng Li, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123489-123489
Closed Access | Times Cited: 14
Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches
Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 1039-1039
Open Access | Times Cited: 9
Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 1039-1039
Open Access | Times Cited: 9
A Forest Fire Recognition Method Based on Modified Deep CNN Model
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7
Deep Learning-based Bangla Sign Language Detection with an Edge Device
Sumaya Siddique, Shafinul Islam, Emon Emtiyaz Neon, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200224-200224
Open Access | Times Cited: 20
Sumaya Siddique, Shafinul Islam, Emon Emtiyaz Neon, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200224-200224
Open Access | Times Cited: 20
Image-based fire detection using an attention mechanism and pruned dense network transfer learning
Hai Li, Zheng Ma, Sheng‐Hua Xiong, et al.
Information Sciences (2024) Vol. 670, pp. 120633-120633
Closed Access | Times Cited: 7
Hai Li, Zheng Ma, Sheng‐Hua Xiong, et al.
Information Sciences (2024) Vol. 670, pp. 120633-120633
Closed Access | Times Cited: 7
A Yolo-based Approach for Fire and Smoke Detection in IoT Surveillance Systems
Dawei Zhang
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Dawei Zhang
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Fire and smoke detection from videos: A literature review under a novel taxonomy
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124783-124783
Open Access | Times Cited: 6
Diego Gragnaniello, Antonio Greco, Carlo Sansone, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124783-124783
Open Access | Times Cited: 6
Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques
Аброр Бурибоев, Хошим Рахманов, Temur Soqiyev, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5184-5184
Open Access | Times Cited: 6
Аброр Бурибоев, Хошим Рахманов, Temur Soqiyev, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5184-5184
Open Access | Times Cited: 6
Forest Defender Fusion System for Early Detection of Forest Fires
Manar Khalid Ibraheem, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
Computers (2024) Vol. 13, Iss. 2, pp. 36-36
Open Access | Times Cited: 5
Manar Khalid Ibraheem, Mbarka Belhaj Mohamed, Ahmed Fakhfakh
Computers (2024) Vol. 13, Iss. 2, pp. 36-36
Open Access | Times Cited: 5