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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:

Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale
Pilar Durante, Santiago Martín‐Alcón, Assu Gil‐Tena, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 795-795
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Lei Tian, Xiaocan Wu, Tao Yu, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 78
Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery
Xiaoli Zhang, Hanwen Shen, Tian‐Bao Huang, et al.
Ecological Indicators (2024) Vol. 159, pp. 111752-111752
Open Access | Times Cited: 30
Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data
Jéssica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1944-1944
Open Access | Times Cited: 88
A LiDAR biomass index-based approach for tree- and plot-level biomass mapping over forest farms using 3D point clouds
Liming Du, Yong Pang, Qiang Wang, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113543-113543
Closed Access | Times Cited: 35
A Review of Regional and Global Gridded Forest Biomass Datasets
Yuzhen Zhang, Shunlin Liang, Lu Yang
Remote Sensing (2019) Vol. 11, Iss. 23, pp. 2744-2744
Open Access | Times Cited: 62
A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA
Andrew T. Hudak, Patrick A. Fekety, Van R. Kane, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 9, pp. 095003-095003
Open Access | Times Cited: 54
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
Parth Naik, Michele Dalponte, Lorenzo Bruzzone
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1282-1282
Open Access | Times Cited: 50
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data
Tian‐Bao Huang, Guanglong Ou, Yong Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3550-3550
Open Access | Times Cited: 22
Integrated Spatial Analysis of Forest Fire Susceptibility in the Indian Western Himalayas (IWH) Using Remote Sensing and GIS-Based Fuzzy AHP Approach
Pragya, Manish Kumar, Akash Tiwari, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4701-4701
Open Access | Times Cited: 21
Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon
Francisco Mauro, Andrew T. Hudak, Patrick A. Fekety, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 261-261
Open Access | Times Cited: 25
Inventory of Forest Attributes to Support the Integration of Non-provisioning Ecosystem Services and Biodiversity into Forest Planning—from Collecting Data to Providing Information
Thomas Knoke, Mengistie Kindu, Thomas Schneider, et al.
Current Forestry Reports (2021) Vol. 7, Iss. 1, pp. 38-58
Open Access | Times Cited: 24
Modelling aboveground biomass and productivity and the impact of climate change in Mediterranean forests of South Spain
Aurelio Díaz Herraiz, Pablo César Salazar-Zarzosa, Francisco Javier Mesas, et al.
Agricultural and Forest Meteorology (2023) Vol. 337, pp. 109498-109498
Closed Access | Times Cited: 9
An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
Junpeng Zhao, Lei Zhao, Erxue Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 568-568
Open Access | Times Cited: 13
High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France
Lilian Vallet, Martin Schwartz, Philippe Ciais, et al.
Biogeosciences (2023) Vol. 20, Iss. 18, pp. 3803-3825
Open Access | Times Cited: 7
Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects
Hooman Latifi, Marco Heurich
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1260-1260
Open Access | Times Cited: 18
Estimation of Above-Ground Carbon-Stocks for Urban Greeneries in Arid Areas: Case Study for Doha and FIFA World Cup Qatar 2022
Salma Habib, Sami G. Al‐Ghamdi
Frontiers in Environmental Science (2021) Vol. 9
Open Access | Times Cited: 14
Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)
Juan Guerra-Hernández, Brigite Botequim, Sandra Buján, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 686-704
Open Access | Times Cited: 10
Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data
Ivan Sačkov, Ivan Barka, Tomáš Bucha
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4189-4189
Open Access | Times Cited: 12
Postfire damage zoning with open low-density LiDAR data sources in semi-arid forests of the Iberian Peninsula
Esther Peña‐Molina, Daniel Moya, José Luis Pensado Tomé, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101114-101114
Open Access | Times Cited: 4
Predicting soil organic carbon with different approaches and spatial resolutions for the southern Iberian Peninsula, Spain
Pilar Durante, Mário Guevara, Rodrigo Vargas, et al.
Geoderma Regional (2024) Vol. 37, pp. e00780-e00780
Closed Access | Times Cited: 1
Exploring the Potential of Lidar and Sentinel-2 Data to Model the Post-Fire Structural Characteristics of Gorse Shrublands in NW Spain
José María Fernández-Alonso, Rafael Llorens, José A. Sobrino, et al.
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6063-6063
Open Access | Times Cited: 6
Forest Landscape Model Initialization with Remotely Sensed-Based Open-Source Databases in the Absence of Inventory Data
Igor Bychkov, Anastasia K. Popova
Forests (2023) Vol. 14, Iss. 10, pp. 1995-1995
Open Access | Times Cited: 3
Uncertainty Analysis of Remote Sensing Pretreatment for Biomass Estimation on Landsat OLI and Landsat ETM+
Qi Zhang, Lihua Xu, Maozhen Zhang, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 1, pp. 48-48
Open Access | Times Cited: 7
Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India
Praveen Kumar, Akhouri Pramod Krishna, Thorkild M. Rasmussen, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 1, pp. 29-29
Open Access | Times Cited: 7
A Systematic Review of Small Domain Estimation Research in Forestry During the Twenty-First Century From Outside the United States
Richard W. Guldin
Frontiers in Forests and Global Change (2021) Vol. 4
Open Access | Times Cited: 7
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