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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:

Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states
Nikolai Knapp, Rico Fischer, Andreas Huth
Remote Sensing of Environment (2017) Vol. 205, pp. 199-209
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
R. Dubayah, J. B. Blair, S. J. Goetz, et al.
Science of Remote Sensing (2020) Vol. 1, pp. 100002-100002
Open Access | Times Cited: 859
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Stefan Oehmcke, Lei Li, Katerina Trepekli, et al.
Remote Sensing of Environment (2024) Vol. 302, pp. 113968-113968
Open Access | Times Cited: 28
Cross-site learning in deep learning RGB tree crown detection
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
Ecological Informatics (2020) Vol. 56, pp. 101061-101061
Open Access | Times Cited: 114
The importance of forest structure for carbon fluxes of the Amazon rainforest
Edna Rödig, Matthias Cuntz, Anja Rammig, et al.
Environmental Research Letters (2018) Vol. 13, Iss. 5, pp. 054013-054013
Open Access | Times Cited: 111
Gap models and their individual-based relatives in the assessment of the consequences of global change
Herman H. Shugart, Bin Wang, Rico Fischer, et al.
Environmental Research Letters (2018) Vol. 13, Iss. 3, pp. 033001-033001
Open Access | Times Cited: 89
Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data
Jingxian Xu, Jun Ma, Yanan Tang, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2823-2823
Open Access | Times Cited: 73
Tackling unresolved questions in forest ecology: The past and future role of simulation models
Isabelle Maréchaux, Fanny Langerwisch, Andreas Huth, et al.
Ecology and Evolution (2021) Vol. 11, Iss. 9, pp. 3746-3770
Open Access | Times Cited: 72
The Relevance of Forest Structure for Biomass and Productivity in Temperate Forests: New Perspectives for Remote Sensing
Rico Fischer, Nikolai Knapp, Friedrich J. Bohn, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 709-734
Closed Access | Times Cited: 74
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
Dmitry Schepaschenko, Jérôme Chave, Oliver L. Phillips, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 66
Improving plant allometry by fusing forest models and remote sensing
Fabian Jörg Fischer, Isabelle Maréchaux, Jérôme Chave
New Phytologist (2019) Vol. 223, Iss. 3, pp. 1159-1165
Open Access | Times Cited: 57
Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales
Sawaid Abbas, Man Sing Wong, Jin Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3351-3351
Open Access | Times Cited: 53
Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data
Khaldoun Rishmawi, Chengquan Huang, Xiwu Zhan
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 442-442
Open Access | Times Cited: 53
The impact of logging on vertical canopy structure across a gradient of tropical forest degradation intensity in Borneo
David T. Milodowski, David A. Coomes, Tom Swinfield, et al.
Journal of Applied Ecology (2021) Vol. 58, Iss. 8, pp. 1764-1775
Open Access | Times Cited: 48
An overview of remote monitoring methods in biodiversity conservation
Rout George Kerry, Francis Jesmar P. Montalbo, Rajeswari Das, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 53, pp. 80179-80221
Open Access | Times Cited: 37
Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling
Lei Ma, G. C. Hurtt, Hao Tang, et al.
Global Change Biology (2023) Vol. 29, Iss. 12, pp. 3378-3394
Open Access | Times Cited: 20
Structure metrics to generalize biomass estimation from lidar across forest types from different continents
Nikolai Knapp, Rico Fischer, Victor Cazcarra-Bes, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111597-111597
Open Access | Times Cited: 54
From small-scale forest structure to Amazon-wide carbon estimates
Edna Rödig, Nikolai Knapp, Rico Fischer, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 45
UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground Biomass of the Bioenergy Grass Arundo donax
Mauro Maesano, Sacha Khoury, Farid Nakhle, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3464-3464
Open Access | Times Cited: 42
Forest Canopy Fuel Loads Mapping Using Unmanned Aerial Vehicle High-Resolution Red, Green, Blue and Multispectral Imagery
Álvaro Agustín Chávez-Durán, Mariano Garcı́a, Miguel Olvera‐Vargas, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 225-225
Open Access | Times Cited: 5
Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
José Luis Hernández‐Stefanoni, Gabriela Reyes-Palomeque, Miguel Santiago, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1586-1586
Open Access | Times Cited: 46
Estimation of maize above-ground biomass based on stem-leaf separation strategy integrated with LiDAR and optical remote sensing data
Yaohui Zhu, Chunjiang Zhao, Hao Yang, et al.
PeerJ (2019) Vol. 7, pp. e7593-e7593
Open Access | Times Cited: 41
Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR
Fabian Ewald Fassnacht, Hooman Latifi, Florian Härtig
Remote Sensing of Environment (2018) Vol. 213, pp. 115-128
Closed Access | Times Cited: 38
Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++
Guanjian Wang, Linong Wang, Shaocheng Wu, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2829-2829
Open Access | Times Cited: 12
Modeling and spatialization of biomass and carbon stock using unmanned Aerial Vehicle Lidar (Lidar-UAV) metrics and forest inventory in cork oak forest of Maamora
Sanaa Fadil, Imane Sebari, Mohamed Ajerame Moulay, et al.
Regional Science Policy & Practice (2024) Vol. 16, Iss. 11, pp. 100127-100127
Open Access | Times Cited: 4
A review on modelling forest biogeochemistry and the coupled forest – soil interactions in a changing world
Felix Sauke, Rico Fischer, Michael Rode
Environmental Modelling & Software (2025), pp. 106381-106381
Open Access
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