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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:

Pixel- and Object-Based ensemble learning for forest burn severity using USGS FIREMON and Mediterranean condition dNBRs in Aegean ecosystem (Turkey)
Hasan Tonbul, İsmail Çölkesen, Taşkın Kavzoğlu
Advances in Space Research (2022) Vol. 69, Iss. 10, pp. 3609-3632
Closed Access | Times Cited: 16

Showing 16 citing articles:

Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach
Halil İbrahim Gündüz, Ahmet Tarık TORUN, Cemil Gezgin
Fire (2025) Vol. 8, Iss. 4, pp. 121-121
Open Access | Times Cited: 1
Vegetation regeneration dynamics of a natural mediterranean ecosystem following a wildfire exploiting the LANDSAT archive, google earth engine and geospatial analysis techniques
Ioannis Lemesios, George P. Petropoulos
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101153-101153
Closed Access | Times Cited: 7
Development of an emission estimation method with satellite observations for significant forest fires and comparison with global fire emission inventories: Application to catastrophic fires of summer 2021 over the Eastern Mediterranean
Efem Bi̇lgi̇ç, Gizem Tuna Tuygun, Orhan Gündüz
Atmospheric Environment (2023) Vol. 308, pp. 119871-119871
Open Access | Times Cited: 14
Effects of auxiliary and ancillary data on LULC classification in a heterogeneous environment using optimized random forest algorithm
Taşkın Kavzoğlu, Furkan Bilücan
Earth Science Informatics (2022) Vol. 16, Iss. 1, pp. 415-435
Closed Access | Times Cited: 22
Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine
Almo Senja Kulinan, Younghyun Cho, Minsoo Park, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 126, pp. 103628-103628
Open Access | Times Cited: 10
SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH
Alihan Teke, Taşkın Kavzoğlu
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-4/W9-2024, pp. 363-370
Open Access | Times Cited: 3
Remote sensing and GIS-based inventory and analysis of the unprecedented 2021 forest fires in Türkiye’s history
Remzi Eker, Tunahan Çınar, İsmail Baysal, et al.
Natural Hazards (2024) Vol. 120, Iss. 12, pp. 10687-10707
Open Access | Times Cited: 3
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: 3
Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms
İsmail Çölkesen, Taşkın Kavzoğlu, Ayhan Ateşoğlu, et al.
Advances in Space Research (2022) Vol. 71, Iss. 7, pp. 3022-3044
Closed Access | Times Cited: 11
Ormancılıkta makine öğrenmesi kullanımı
Remzi Eker, Kamber Can Alkiş, Zennure Uçar, et al.
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi (2023), pp. 150-177
Open Access | Times Cited: 6
Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions
Alihan Teke, Taşkın Kavzoğlu
Advances in natural and technological hazards research (2024), pp. 153-182
Closed Access | Times Cited: 1
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 Kavzoğlu
(2023), pp. 1-5
Closed Access | Times Cited: 2
Evaluation of the effect of spatial and temporal resolutions for digital change detection: case of forest fire
Ayben Balsak, Bekir Taner San
Natural Hazards (2023) Vol. 119, Iss. 3, pp. 1799-1818
Closed Access | Times Cited: 1
Google Earth Engine ile Türkiye'de Yanmış Alanların MODIS ve FireCCI51 Küresel Yanmış Alan Uydu Gözlem Verileriyle Karşılaştırmalı Değerlendirilmesi
Hasan Tonbul
Turkish Journal of Remote Sensing and GIS (2024), pp. 69-82
Open Access
Türkiye’de 2021 Yılında Yaşanan Büyük Orman Yangınlarında Yanan Orman Alanlarının ve Yangın Kaynaklı Atmosferik Aerosollerin Uydular ile İzlenmesi
Gizem Tuna Tuygun, Gülşen İŞSEVER, Tolga Elbir
Deu Muhendislik Fakultesi Fen ve Muhendislik (2023) Vol. 25, Iss. 74, pp. 351-369
Open Access | Times Cited: 1
Google Earth Engine Üzerinde Sentinel-2 Görüntülerinin Arazi Örtüsü Haritalama Doğruluğunun İyileştirilmesi
Çiğdem Şerifoğlu Yılmaz
Turkish Journal of Remote Sensing and GIS (2022), pp. 150-159
Open Access | Times Cited: 1
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