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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:

Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory
Jonathan A. Knott, Greg C. Liknes, Courtney L. Giebink, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 7, pp. 1587-1602
Open Access | Times Cited: 15

Showing 15 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: 75
Calibration of GEDI footprint aboveground biomass models in Mediterranean forests with NFI plots: A comparison of approaches
Adrián Pascual, Paul May, Aarón Cárdenas-Martínez, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124313-124313
Open Access | Times Cited: 2
Integration of Airborne Laser Scanning data into forest ecosystem management in Canada: Current status and future directions
Tristan R.H. Goodbody, Nicholas C. Coops, Liam Irwin, et al.
The Forestry Chronicle (2024) Vol. 100, Iss. 2, pp. 240-260
Closed Access | Times Cited: 5
Aboveground Biomass and Tree Mortality Revealed Through Multi-Scale LiDAR Analysis
Inácio Thomaz Bueno, Carlos Alberto Silva, Kristina J. Anderson‐Teixeira, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 796-796
Open Access
Machine learning approach for Forest Biomass Modelling with In-Situ and Remote Sensing Data in Narmadapuram central India
Pradeep Kumar Rajput
Research Square (Research Square) (2025)
Closed Access
Forest aboveground biomass estimation using deep learning data fusion of ALS, multispectral, and topographic data
Harry Seely, Nicholas C. Coops, Joanne C. White, et al.
International Journal of Remote Sensing (2025), pp. 1-39
Closed Access
Decadal soil warming decreased vascular plant above and belowground production in a subarctic grassland by inducing nitrogen limitation
Chao Fang, Niel Verbrigghe, Bjarni D. Sigurðsson, et al.
New Phytologist (2023) Vol. 240, Iss. 2, pp. 565-576
Open Access | Times Cited: 10
Evaluating the impact of field-measured tree height errors correction on aboveground biomass modeling using airborne laser scanning and GEDI datasets in Brazilian Amazonia
Nadeem Fareed, Izaya Numata
Trees Forests and People (2024), pp. 100751-100751
Open Access | Times Cited: 3
Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest
Harry Seely, Nicholas C. Coops, Joanne C. White, et al.
Science of Remote Sensing (2023) Vol. 8, pp. 100110-100110
Open Access | Times Cited: 8
Forest Carbon Storage in the Western United States: Distribution, Drivers, and Trends
Jazlynn Hall, Manette E. Sandor, Brian J. Harvey, et al.
Earth s Future (2024) Vol. 12, Iss. 7
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
Towards spatial predictions of disease transmission risk: classical scrapie spill-over from domestic small ruminants to wild cervids
Nuno Mouta, Leonor Orge, Joana R. Vicente, et al.
Web Ecology (2024) Vol. 24, Iss. 2, pp. 47-57
Open Access
Forest Biomass Estimation Using Deep Learning Data Fusion of Lidar, Multispectral, and Topographic Data Remote Sensing of Environment
Harry Seely, Nicholas C. Coops, Joanne C. White, et al.
(2024)
Closed Access
The Influence of the Spatial Co-Registration Error on the Estimation of Growing Stock Volume Based on Airborne Laser Scanning Metrics
Marek Lisańczuk, Krzysztof Mitelsztedt, Krzysztof Stereńczak
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4709-4709
Open Access
ANOMALY DETECTION - REVIEW OF METHODS, TOOLS AND ALGORITHMS
Roberts Volkovičs
Environment Technology Resources Proceedings of the International Scientific and Practical Conference (2023) Vol. 2, pp. 105-112
Open Access
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