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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:

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest
Saygın Abdikan, Çağlar Bayık, Aliihsan Şekertekin, et al.
Forests (2022) Vol. 13, Iss. 2, pp. 347-347
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
Muzaffer Can İban, Aliihsan Şekertekin
Ecological Informatics (2022) Vol. 69, pp. 101647-101647
Closed Access | Times Cited: 107
Normalized Burn Ratio Plus (NBR+): A New Index for Sentinel-2 Imagery
Emanuele Alcaras, Domenica Costantino, Francesca Guastaferro, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1727-1727
Open Access | Times Cited: 67
Modeling of Forest Fire Risk Areas of Amazonas Department, Peru: Comparative Evaluation of Three Machine Learning Methods
Alex J. Vergara, Sivmny V. Valqui-Reina, Dennis Cieza-Tarrillo, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 273-273
Open Access
Potential of Sentinel-1 C-band SAR data in tandem with Sentinel-2 optical data towards in-season mapping of paddy residue burnt area
Mamta Kumari, Abhishek Chakraborty, Rajendra Adhikari, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101514-101514
Closed Access
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
An Unsupervised Saliency-Guided Deep Convolutional Neural Network for Accurate Burn Mapping from Sentinel-1 SAR Data
Ali Radman, Reza Shah-Hosseini, Saeid Homayouni
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1184-1184
Open Access | Times Cited: 9
ResNet152-U-Net: Transfer Learning for the Semantic Segmentation of Forest Restoration Site Using Aerial Images
Eunhee Son, Ui Rin Ha, Hojin Seong, et al.
(2024)
Open Access | Times Cited: 2
FSNet: Enhancing Forest-Fire and Smoke Detection with an Advanced UAV-Based Network
Donghua Wu, Zhongmin Qian, Dongyang Wu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 787-787
Open Access | Times Cited: 2
Burned area detection from a single satellite image using an adaptive thresholds algorithm
Quan Duan, Ronggao Liu, Jilong Chen, et al.
International Journal of Digital Earth (2024) Vol. 17, 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
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 2
FBA-DPAttResU-Net: Forest burned area detection using a novel end-to-end dual-path attention residual-based U-Net from post-fire Sentinel-1 and Sentinel-2 images
Ehsan Khankeshizadeh, Sahand Tahermanesh, Amin Mohsenifar, et al.
Ecological Indicators (2024) Vol. 167, pp. 112589-112589
Open Access | Times Cited: 2
Forest Burned Area Detection Using a Novel Spectral Index Based on Multi-Objective Optimization
Bo Wu, Zheng He, Zelong Xu, et al.
Forests (2022) Vol. 13, Iss. 11, pp. 1787-1787
Open Access | Times Cited: 10
Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data
Michele Dalponte, Yady Tatiana Solano‐Correa, Daniele Marinelli, et al.
Remote Sensing of Environment (2023) Vol. 297, pp. 113787-113787
Open Access | Times Cited: 5
A novel deep Siamese framework for burned area mapping Leveraging mixture of experts
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108280-108280
Closed Access | Times Cited: 1
Enhancing Burned Area Monitoring with VIIRS dataset: A Case Study in Sub-Saharan Africa
Boris Ouattara, Michael Thiel, Barbara Sponholz, et al.
Science of Remote Sensing (2024), pp. 100165-100165
Open Access | Times Cited: 1
Google Earth Engine Üzerinde Sentinel-2 Uydu Görüntüleri Kullanılarak Yanan Alanların Farklı Eşik Değerlerinde Belirlenmesi
Sinan Demir
Turkish Journal of Remote Sensing and GIS (2023), pp. 262-275
Open Access | Times Cited: 4
Burn severity assessment with different remote sensing products for wildfire damage analysis
İrem İsmailoğlu, Nebiye Musaoğlu
(2023)
Closed Access | Times Cited: 3
THE IMPORTANCE OF EARTH OBSERVATION FOR MONITORING CULTURAL HERITAGE SITES AFFECTED BY FIRE EVENTS: THE CASE STUDY OF ARAKAPAS, CYPRUS USING SENTINEL 2 DATA
Μαρία Προδρόμου, D. Cerra, Kyriacos Themistocleous, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-M-1-2023, pp. 263-269
Open Access | Times Cited: 2
Fire judgment method based on intelligent optimization algorithm and evidence fusion
Junfeng Dai, Lihui Fu
Computational and Applied Mathematics (2023) Vol. 42, Iss. 5
Closed Access | Times Cited: 2
Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muğla-Bodrum, Turkey
Hasan Tonbul, Elif Özlem Yılmaz, Taşkın Kavzoǧlu
(2023), pp. 1-5
Closed Access | Times Cited: 2
The Assessment of Burn Severity and Monitoring of Recovery Process of Wildfire in Mongolia
Battsengel Vandansambuu, Byambakhuu Gantumur, Falin Wu, et al.
(2023)
Open Access | Times Cited: 2
Burned area detection using convolutional neural network based on spatial information of synthetic aperture radar data in Indonesia
Anugrah Indah Lestari, Dony Kushardono, Athar Abdurrahman Bayanuddin
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2024) Vol. 17, Iss. 2, pp. 36-48
Open Access
Investigation of burned areas with multiplatform remote sensing data on the Rhodes 2023 forest fires
Hasan Bilgehan Maki̇neci̇
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 10, pp. 102949-102949
Open Access
Improved Detection of Small-Scale Forest Fires in the Mediterranean Region from Sentinel-1 and Sentinel-2 Time Series
Chiara Aquino, Maria Vincenza Chiriacò, Manuela Balzarolo
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 913-917
Closed Access
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