Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Total Stem Biomass Estimation Using Sentinel-1 and -2 Data in a Dense Coniferous Forest of Complex Structure and Terrain
Nikos Georgopoulos, C. Sotiropoulos, Alexandra Stefanidou, et al.
Forests (2022) Vol. 13, Iss. 12, pp. 2157-2157
Open Access | Times Cited: 11

Showing 11 citing articles:

Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran)
Armin Moghimi, Ava Tavakoli Darestani, Nikrouz Mostofi, et al.
Kuwait Journal of Science (2023) Vol. 51, Iss. 2, pp. 100159-100159
Open Access | Times Cited: 18
Forest Aboveground Biomass Estimation in Küre Mountains National Park Using Multifrequency SAR and Multispectral Optical Data with Machine-Learning Regression Models
Eren Gürsoy ÖZDEMİR, Saygın Abdikan
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1063-1063
Open Access
Multi-Decision Vector Fusion Model for Enhanced Mapping of Aboveground Biomass in Subtropical Forests Integrating Sentinel-1, Sentinel-2, and Airborne LiDAR Data
Wenhao Jiang, Linjing Zhang, Xiaoxue Zhang, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1285-1285
Open Access
Aboveground Forest Biomass Estimation Using Tent Mapping Atom Search Optimized Backpropagation Neural Network with Landsat 8 and Sentinel-1A Data
Chen Zhao, Zhibin Sun, Huaiqing Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5653-5653
Open Access | Times Cited: 9
The Importance of Ground-Truthing in Local Biomass Models for REDD+ – a Case Study in the Chiloe Island, Chile
Víctor Volke Haller, Luke Sanford, Timothy G. Grégoire
(2025)
Closed Access
Inversion of Forest above Ground Biomass in Mountainous Region Based on PolSAR Data after Terrain Correction: A Case Study from Saihanba, China
Yonghui Nie, Yifan Hu, Rula Sa, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 846-846
Open Access | Times Cited: 2
Bartın’daki Sahil Çamı (Pinus pinaster Ait.) Ağaçlandırma Alanlarında Sentinel-1 ve Sentinel-2 Uydu Görüntüleri Kullanılarak Toprak Üstü Biyokütlenin Kestirilmesi
Eren Gürsoy ÖZDEMİR, Aziz DEMİRALAY, Batuhan ŞAHİN
Turkish Journal of Remote Sensing and GIS (2023), pp. 15-27
Open Access | Times Cited: 1
Uso das Geotecnologias na Estimativa de Biomassa e Carbono Florestal: Uma Revisão
José Douglas Monteiro da Costa, José Alberto Quintanilha
Revista Brasileira de Geografia Física (2024) Vol. 17, Iss. 2, pp. 1127-1146
Closed Access
Aboveground biomass estimation and mapping using Sentinel-2 data in a dry afromontane forest
Buruh Abebe Tetemke, Emiru Birhane, Meley Mekonen Rannestad, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 24, pp. 9461-9479
Closed Access
UAV and satellite-based prediction of aboveground biomass in scots pine stands: a comparative analysis of regression and neural network approaches
Hasan Aksoy, Alkan Günlü
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Estimation of forest above ground biomass using Sentinel-1 data
Tsolmon Altanchimeg, D. Amarsaikhan
Deleted Journal (2023) Vol. 60, Iss. 44, pp. 116-124
Open Access
Page 1

Scroll to top