Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network
Xin Zheng, Feng Chen, Liming Lou, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 536-536
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Real-Time Vehicle Detection Based on Improved YOLO v5
Yu Zhang, Zhongyin Guo, Jianqing Wu, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12274-12274
Open Access | Times Cited: 189
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: 55
Efficient fire and smoke detection in complex environments via adaptive spatial feature fusion and dual attention mechanism
Jie Hu, Lei Wang, Bo Peng, et al.
Digital Signal Processing (2025) Vol. 159, pp. 104982-104982
Closed Access | Times Cited: 2
Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method
Jia‐Run Huang, Zhili He, Yuwei Guan, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1894-1894
Open Access | Times Cited: 37
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
Visual fire detection using deep learning: A survey
Guangtao Cheng, Xue Chen, Chenyi Wang, et al.
Neurocomputing (2024) Vol. 596, pp. 127975-127975
Closed Access | Times Cited: 8
Early smoke and flame detection based on transformer
Xinzhi Wang, Mengyue Li, Mingke Gao, et al.
Journal of Safety Science and Resilience (2023) Vol. 4, Iss. 3, pp. 294-304
Open Access | Times Cited: 17
Forest Fire Smoke Detection Research Based on the Random Forest Algorithm and Sub-Pixel Mapping Method
Xihao Li, Gui Zhang, Sanqing Tan, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 485-485
Open Access | Times Cited: 13
A lightweight algorithm capable of accurately identifying forest fires from UAV remote sensing imagery
Hongtao Zheng, Sounkalo Dembélé, Yongxin Wu, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 13
A new multi-sensor fire detection method based on LSTM networks with environmental information fusion
Pingshan Liu, Pingchuan Xiang, Dianjie Lu
Neural Computing and Applications (2023) Vol. 35, Iss. 36, pp. 25275-25289
Closed Access | Times Cited: 13
Forest Fire Smoke Detection Based on Multiple Color Spaces Deep Feature Fusion
Ziqi Han, Ye Tian, Change Zheng, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 689-689
Open Access | Times Cited: 5
SimUV-Net: A novel approach for UV signal-based fire detection and classification leveraging supervised contrastive learning
Jinseo Jeong, Seunwon Baik, Hyunsoo Yoon, et al.
Expert Systems with Applications (2025), pp. 127120-127120
Closed Access
PyQt5‐powered frontend for advanced YOLOv8 vehicle detection in challenging backgrounds
Fujun Sun, Liping Du, Yuxing Dai
IET Wireless Sensor Systems (2025) Vol. 15, Iss. 1
Open Access
A Small-Sample Target Detection Method for Transmission Line Hill Fires Based on Meta-Learning YOLOv11
Yaoran Huo, Shuicheng Yan, Jian Xu, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1511-1511
Open Access
A forest fire smoke detection model combining convolutional neural network and vision transformer
Ying Zheng, Gui Zhang, Sanqing Tan, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 12
A satellite imagery smoke detection framework based on the Mahalanobis distance for early fire identification and positioning
Yehan Sun, Lijun Jiang, Jun Pan, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103257-103257
Open Access | Times Cited: 11
An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5
Long Zhang, Jiaming Li, Fuquan Zhang
Fire (2023) Vol. 6, Iss. 8, pp. 291-291
Open Access | Times Cited: 11
YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s
Jianan Wang, Changzhong Wang, Weiping Ding, et al.
Fire Technology (2024) Vol. 60, Iss. 6, pp. 4023-4043
Closed Access | Times Cited: 4
Real-Time Fire Detection in Scenic Spot Using Convolutional Neural Network
He Yan, Shaheem Sayed Merajuddin, Mengmeng Zhang
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 2, pp. 432-437
Open Access
MobileOne-YOLO: An Improved Real-Time Fire Detection Algorithm for Aircraft Cargo Compartments
Wei Zhang, Kai Wang, Xin Zhou, et al.
Journal of Aerospace Information Systems (2025), pp. 1-10
Closed Access
A Forest Fire Identification System Based on Weighted Fusion Algorithm
Jingjing Qian, Haifeng Lin
Forests (2022) Vol. 13, Iss. 8, pp. 1301-1301
Open Access | Times Cited: 16
Vision-Based obstacle detection in dangerous region of coal mine driverless rail electric locomotives
Tun Yang, Yongcun Guo, Deyong Li, et al.
Measurement (2024) Vol. 239, pp. 115514-115514
Closed Access | Times Cited: 3
Wildfire Smoke Detection Enhanced by Image Augmentation with StyleGAN2-ADA for YOLOv8 and RT-DETR Models
Ganghyun Park, Yangwon Lee
Fire (2024) Vol. 7, Iss. 10, pp. 369-369
Open Access | Times Cited: 3
Fighting against forest fire: A lightweight real-time detection approach for forest fire based on synthetic images
Guanbo Wang, Haiyan Li, Qing Xiao, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125620-125620
Closed Access | Times Cited: 3
Fire situation detection method for unmanned fire-fighting vessel based on coordinate attention structure-based deep learning network
Shengzheng Wang, Yunfan Zhang, Tsung-Hsuan Hsieh, et al.
Ocean Engineering (2022) Vol. 266, pp. 113208-113208
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top