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:

Temporal Changes in Mediterranean Pine Forest Biomass Using Synergy Models of ALOS PALSAR-Sentinel 1-Landsat 8 Sensors
Edward A. Velasco Pereira, Ma Ángeles Varo-Martínez, Francisco J. Ruíz-Gómez, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3430-3430
Open Access | Times Cited: 12

Showing 12 citing articles:

Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models
Xingguang Yan, Jing Li, Andrew R. Smith, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 2, pp. 4471-4491
Open Access | Times Cited: 25

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

Estimating above-ground biomass of trees outside forests using multi-frequency SAR data in the semi-arid regional landscape of southern India
A. S. Anjitha, C. Sudhakar Reddy, N. Nitish Sri Surya, et al.
Spatial Information Research (2024) Vol. 32, Iss. 5, pp. 593-605
Closed Access | Times Cited: 2

The impacts of altering biodiversity to the Water–Energy–Food nexus: case study North Euboea, Greece
G.-Fivos Sargentis, Romanos Ioannidis
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2

Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains
Jiahui Chang, Chang Huang
Ecological Informatics (2024) Vol. 81, pp. 102566-102566
Open Access | Times Cited: 1

Integrating Dendrochronological and LiDAR Data to Improve Management of Pinus canariensis Forests under Different Thinning and Climatic Scenarios
Rafael M. Navarro‐Cerrillo, Eva Padrón Cedrés, Antonio M. Cachinero-Vivar, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 850-850
Open Access

Aboveground biomass estimation in conifer and deciduous forests with the use of a combined approach
Viktoriia Lovynska, Svitlana Sytnyk, Sergey Stankevich, et al.
Biosystems Diversity (2024) Vol. 32, Iss. 2, pp. 210-216
Open Access

Continuous mapping of forest canopy height using ICESat-2 data and a weighted kernel integration of multi-temporal multi-source remote sensing data aided by Google Earth Engine
Jalal Mansouri, Mohsen A. Jafari, Alireza Taheri Dehkordi
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 37, pp. 49757-49779
Closed Access

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