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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:

Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area
Janine Florath, Sina Keller
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 657-657
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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
Advancements in remote sensing for active fire detection: A review of datasets and methods
Songxi Yang, Qunying Huang, Manzhu Yu
The Science of The Total Environment (2024) Vol. 943, pp. 173273-173273
Closed Access | Times Cited: 16
A Forest Fire Prediction Framework Based on Multiple Machine Learning Models
Chen Wang, Hanze Liu, Yiqing Xu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 329-329
Open Access | Times Cited: 1
Uni-temporal Sentinel-2 imagery for wildfire detection using deep learning semantic segmentation models
Ali Mahdi Aldabbagh, Muhammad Ilyas
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Improved burned area mapping using monotemporal Landsat-9 imagery and convolutional shift-transformer
Seyd Teymoor Seydi, Mojtaba Sadegh
Measurement (2023) Vol. 216, pp. 112961-112961
Closed Access | Times Cited: 14
Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Berk Ă–zel, Muhammad Shahab Alam, Muhammad Umer Khan
Information (2024) Vol. 15, Iss. 9, pp. 538-538
Open Access | Times Cited: 5
Rapid natural hazard extent estimation from twitter data: investigation for hurricane impact areas
Janine Florath, Jocelyn Chanussot, Sina Keller
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6775-6796
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
Object Tracking Based on Satellite Videos: A Literature Review
Zhaoxiang Zhang, Chenghang Wang, Jianing Song, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3674-3674
Open Access | Times Cited: 19
Wetlands happen: the delineation and classification of opportunistic wetlands in the Athabasca oil sands region of Canada
Virgil C. Hawkes, Jon Hornung, Julio Novoa, et al.
Wetlands Ecology and Management (2025) Vol. 33, Iss. 1
Open Access
Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine
Yue Chen, Weili Kou, Wenna Miao, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 741-741
Open Access
Evacuation path optimization algorithm for grassland fires based on SAR imagery and intelligent optimization
Ziyang Zhang, Lingye Tan, Robert L. K. Tiong
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Atlantic Forests: Phytogeography and conservation
Daniel Meira Arruda, Pedro Manuel Villa, Alice Cristina Rodrigues, et al.
Elsevier eBooks (2025), pp. 443-456
Closed Access
Enhancement of Forest Fire Assessment by KDCPMNN Approach in Sikkim, India Using Remote Sensing Images
Kapila Sharma, Gokarna Jung Thapa
Communications in computer and information science (2025), pp. 379-394
Closed Access
Data-Driven Approaches for Wildfire Mapping and Prediction Assessment Using a Convolutional Neural Network (CNN)
Rida Kanwal, Warda Rafaqat, Mansoor Iqbal, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5099-5099
Open Access | Times Cited: 9
Near real-time mapping of burned area by synergizing multiple satellites remote-sensing data
Lipeng Jiao, Yanchen Bo
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1956-1977
Open Access | Times Cited: 12
FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7801-7824
Open Access | Times Cited: 2
Detecting information from Twitter on landslide hazards in Italy using deep learning models
Rachele Franceschini, Ascanio Rosi, Filippo Catani, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2
Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level
Haizhou Xu, Gui Zhang, Zhaoming Zhou, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3546-3546
Open Access | Times Cited: 10
Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis
Janine Florath, Jocelyn Chanussot, Sina Keller
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 4, pp. 107-107
Open Access | Times Cited: 1
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Kwang Jin Kim, Woo Hyeon Park, Yongchul Shin, et al.
Hydrology (2024) Vol. 11, Iss. 11, pp. 183-183
Open Access | Times Cited: 1
Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas
Janine Florath, Jocelyn Chanussot, Sina Keller
Fire (2023) Vol. 7, Iss. 1, pp. 6-6
Open Access | Times Cited: 3
Deep Learning based Minerals’ Recognition and Mapping using Sentinel-2 Imagery
Nazir Jan, Nasru Minallah, Madiha Sher, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Artificial Intelligence Assistive Fire Detection and Seeing the Invisible Through Smoke Using Hyperspectral and Multi-Spectral Images
Ahed Alboody, Saeed Mian Qaisar, Gilles Roussel
(2023)
Open Access | Times Cited: 1
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