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:

Real-Time Integration of Segmentation Techniques for Reduction of False Positive Rates in Fire Plume Detection Systems during Forest Fires
Leonardo Martins, Federico Guede-Fernández, Rui Valente de Almeida, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2701-2701
Open Access | Times Cited: 15

Showing 15 citing articles:

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

YOLO-SF: YOLO for Fire Segmentation Detection
Xianghong Cao, Yixuan Su, Xin Geng, et al.
IEEE Access (2023) Vol. 11, pp. 111079-111092
Open Access | Times Cited: 32

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: 7

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: 4

A New Smoke Segmentation Method Based on Improved Adaptive Density Peak Clustering
Zongfang Ma, Yonggen Cao, Song Lin, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1281-1281
Open Access | Times Cited: 8

Attention-driven YOLOv5 for wildfire smoke detection from camera images
Himadri Vaidya, Akanksha Gupta, Kamal Kumar Ghanshala
Journal of Earth System Science (2024) Vol. 133, Iss. 3
Closed Access | Times Cited: 2

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: 2

Lightweight and attention-based CNN architecture for wildfire detection using UAV vision data
Rahmi Arda Aral, Cemil Zalluhoğlu, Ebru Akçapınar Sezer
International Journal of Remote Sensing (2023) Vol. 44, Iss. 18, pp. 5768-5787
Closed Access | Times Cited: 6

IoT Based Forest Fire Detection Using Deep Learning Techniques- A Survey
M. Murugesan, Arun Kumar, Vishwathsen Karthikeyan, et al.
(2024), pp. 654-660
Closed Access | Times Cited: 1

Flow-Field Inference for Turbulent Exhale Flow Measurement
Shane Transue, Do-kyeong Lee, Jae-Sung Choi, et al.
Diagnostics (2024) Vol. 14, Iss. 15, pp. 1596-1596
Open Access | Times Cited: 1

A novel single shot-multibox detector based on multiple Gaussian mixture model for urban fire smoke detection
Hao Han
Computer Science and Information Systems (2023) Vol. 20, Iss. 4, pp. 1819-1843
Open Access | Times Cited: 3

Technique based on the grayscale value for evaluating the shielding performance of infrared smokescreen
Xi Chen, Yihua Hu, Youlin Gu, et al.
Optical Engineering (2024) Vol. 63, Iss. 03
Closed Access

Smoke plume detection using U-Net model: an application in the Mexican territory
Christopher Gomez, Daniela Moctezuma
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 04
Closed Access

Special Issue: “The Design and Optimization of Fire Protection Processes”
Iveta Marková, Aleš Bernatík
Processes (2023) Vol. 11, Iss. 12, pp. 3338-3338
Open Access | Times Cited: 1

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