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:

Forest Disturbance Detection with Seasonal and Trend Model Components and Machine Learning Algorithms
Jonathan V. Solórzano, Yan Gao
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 803-803
Open Access | Times Cited: 11

Showing 11 citing articles:

Deforestation probability assessment using integrated machine learning algorithms of Eastern Himalayan foothills (India)
Soumik Saha, Sumana Bhattacharjee, Pravat Kumar Shit, et al.
Resources Conservation & Recycling Advances (2022) Vol. 14, pp. 200077-200077
Open Access | Times Cited: 29

Object-based continuous monitoring of land disturbances from dense Landsat time series
Su Ye, Zhe Zhu, Guofeng Cao
Remote Sensing of Environment (2023) Vol. 287, pp. 113462-113462
Open Access | Times Cited: 20

A Global 250-m Downscaled NDVI Product from 1982 to 2018
Zhimin Ma, Chunyu Dong, Kairong Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3639-3639
Open Access | Times Cited: 24

Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping
Adugna Mullissa, Johannes Reiche, Martin Herold
Remote Sensing of Environment (2023) Vol. 298, pp. 113799-113799
Open Access | Times Cited: 9

Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series
Jining Yan, Haixu He, Lizhe Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1446-1446
Open Access | Times Cited: 14

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 tree-based systems disturbance monitoring of tropical mosaic landscape using a time series ensemble learning approach
Temesgen Alemayehu Abera, Petri Pellikka, Tino Johansson, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113876-113876
Open Access | Times Cited: 5

Mapeamento de Cobertura da Terra com Máquina de Vetor de Suporte: Guia Prático no Google Earth Engine
Taís Rizzo Moreira, Jéferson Pereira Martins Silva, Nívea Maria Mafra Rodrigues, et al.
CAUFES eBooks (2024)
Open Access | Times Cited: 1

ASSESSMENT OF FOREST DISTURBANCES USING REMOTE SENSING: CASE OF KALIWA RIVER FOREST RESERVE (KRFR), PHILIPPINES
Maldonado Garcia, J. A. Principe
˜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/W8-2023, pp. 273-278
Open Access

Forecasting urban forest recreation areas in Turkey using machine learning methods
Mehmet Cüneyt Özbalcı, Sena DİKİCİ, Turgay Tugay Bilgin
Journal of Scientific Reports-A (2024), Iss. 058, pp. 40-56
Closed Access

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