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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:

Lidar sampling for large-area forest characterization: A review
Michael A. Wulder, Joanne C. White, Ross Nelson, et al.
Remote Sensing of Environment (2012) Vol. 121, pp. 196-209
Open Access | Times Cited: 672

Showing 26-50 of 672 citing articles:

Digital Aerial Photogrammetry for Updating Area-Based Forest Inventories: A Review of Opportunities, Challenges, and Future Directions
Tristan R.H. Goodbody, Nicholas C. Coops, Joanne C. White
Current Forestry Reports (2019) Vol. 5, Iss. 2, pp. 55-75
Open Access | Times Cited: 155
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154
Review on carbon storage estimation of forest ecosystem and applications in China
Wanlong Sun, Xuehua Liu
Forest Ecosystems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 148
GEDI launches a new era of biomass inference from space
R. Dubayah, John Armston, Sean P. Healey, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 9, pp. 095001-095001
Open Access | Times Cited: 137
Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Matthew G. Gale, Geoffrey J. Cary, Albert I. J. M. van Dijk, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112282-112282
Closed Access | Times Cited: 127
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
Danilo Roberti Alves de Almeida, Eben N. Broadbent, Matheus Pinheiro Ferreira, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112582-112582
Open Access | Times Cited: 123
LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives
Dandan Xu, Haobin Wang, Weixin Xu, et al.
Forests (2021) Vol. 12, Iss. 5, pp. 550-550
Open Access | Times Cited: 115
The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring
David P. Roy, Herve B. Kashongwe, John Armston
Science of Remote Sensing (2021) Vol. 4, pp. 100024-100024
Open Access | Times Cited: 114
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Ruusa Magano David, Nick Rosser, Daniel N.M. Donoghue
Remote Sensing of Environment (2022) Vol. 282, pp. 113232-113232
Closed Access | Times Cited: 75
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives
Linyuan Li, Xihan Mu, Hailan Jiang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 133-156
Closed Access | Times Cited: 57
LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review
Mattia Balestra, Suzanne Marselis, Temuulen Tsagaan Sankey, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 4, pp. 281-297
Open Access | Times Cited: 26
Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
Tao Liu, Shaolong Zhu, Tianle Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108685-108685
Closed Access | Times Cited: 21
Airborne laser scanning and digital stereo imagery measures of forest structure: comparative results and implications to forest mapping and inventory update
Mikko Vastaranta, Michael A. Wulder, Joanne C. White, et al.
Canadian Journal of Remote Sensing (2013) Vol. 39, Iss. 5, pp. 382-395
Closed Access | Times Cited: 193
Outlook for the Next Generation’s Precision Forestry in Finland
Markus Holopainen, Mikko Vastaranta, Juha Hyyppä
Forests (2014) Vol. 5, Iss. 7, pp. 1682-1694
Open Access | Times Cited: 175
Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.
Göran Ståhl, Sören Holm, Timothy G. Grégoire, et al.
Canadian Journal of Forest Research (2011) Vol. 41, Iss. 1, pp. 96-107
Open Access | Times Cited: 171
International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning
Yunsheng Wang, Juha Hyyppä, Xinlian Liang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2016) Vol. 54, Iss. 9, pp. 5011-5027
Open Access | Times Cited: 169
Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.
Timothy G. Grégoire, Göran Ståhl, Erik Næsset, et al.
Canadian Journal of Forest Research (2011) Vol. 41, Iss. 1, pp. 83-95
Closed Access | Times Cited: 160
Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data
Sorin C. Popescu, Tan Zhou, R. Nelson, et al.
Remote Sensing of Environment (2018) Vol. 208, pp. 154-170
Closed Access | Times Cited: 159
Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar
Juan Carlos Fernández-Diaz, William Carter, Craig Glennie, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 936-936
Open Access | Times Cited: 155
PTrees: A point-based approach to forest tree extraction from lidar data
Cédric Vega, A. El Hamrouni, Sohrab Mokhtari, et al.
International Journal of Applied Earth Observation and Geoinformation (2014) Vol. 33, pp. 98-108
Closed Access | Times Cited: 151
Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data
Fabian Schneider, Reik Leiterer, Felix Morsdorf, et al.
Remote Sensing of Environment (2014) Vol. 152, pp. 235-250
Closed Access | Times Cited: 145
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
Linjing Zhang, Zhenfeng Shao, Jianchen Liu, et al.
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1459-1459
Open Access | Times Cited: 145
Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks
Maxime Réjou‐Méchain, Helene C. Muller‐Landau, Matteo Detto, et al.
Biogeosciences (2014) Vol. 11, Iss. 23, pp. 6827-6840
Open Access | Times Cited: 136
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
Dezhi Wang, Bo Wan, Jing Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 85, pp. 101986-101986
Open Access | Times Cited: 136
UAV photogrammetry for mapping vegetation in the low-Arctic
Robert Fraser, Ian Olthof, Trevor C. Lantz, et al.
Arctic Science (2016) Vol. 2, Iss. 3, pp. 79-102
Open Access | Times Cited: 134

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