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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:

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
M. Bouvier, Sylvie Durrieu, Richard Fournier, et al.
Remote Sensing of Environment (2014) Vol. 156, pp. 322-334
Closed Access | Times Cited: 342

Showing 1-25 of 342 citing articles:

lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Jean-Romain Roussel, David Auty, Nicholas C. Coops, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112061-112061
Open Access | Times Cited: 686
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White, Nicholas C. Coops, Michael A. Wulder, et al.
Canadian Journal of Remote Sensing (2016) Vol. 42, Iss. 5, pp. 619-641
Open Access | Times Cited: 684
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Guangjian Yan, Ronghai Hu, Jinghui Luo, et al.
Agricultural and Forest Meteorology (2018) Vol. 265, pp. 390-411
Open Access | Times Cited: 372
Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest
Yunsheng Wang, Matti Lehtomäki, Xinlian Liang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 147, pp. 132-145
Open Access | Times Cited: 265
Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations
Kun Liu, Xin Shen, Lin Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 146, pp. 465-482
Closed Access | Times Cited: 171
Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System
Ana Paula Dalla Côrte, Franciel Eduardo Rex, Danilo Roberti Alves de Almeida, et al.
Remote Sensing (2020) Vol. 12, Iss. 5, pp. 863-863
Open Access | Times Cited: 157
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
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: 29
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
Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms
Catherine Torres de Almeida, Lênio Soares Galvão, Luiz Eduardo de Oliveira Cruz e Aragão, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111323-111323
Closed 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
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
Qinghua Guo, Yanjun Su, Tianyu Hu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 232-257
Open Access | Times Cited: 113
Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them
Maxime Réjou‐Méchain, Nicolas Barbier, Pierre Couteron, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 881-911
Closed Access | Times Cited: 102
Clustering Field-Based Maize Phenotyping of Plant-Height Growth and Canopy Spectral Dynamics Using a UAV Remote-Sensing Approach
Liang Han, Guijun Yang, Hao Yang, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 101
Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size
Jean-Romain Roussel, John P. Caspersen, Martin Béland, et al.
Remote Sensing of Environment (2017) Vol. 198, pp. 1-16
Closed Access | Times Cited: 96
Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem
Aaron Kamoske, Kyla M. Dahlin, Scott C. Stark, et al.
Forest Ecology and Management (2018) Vol. 433, pp. 364-375
Open Access | Times Cited: 94
Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests
Iván Dorado-Roda, Adrián Pascual, Sérgio Godinho, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2279-2279
Open Access | Times Cited: 94
Detection of sub-canopy forest structure using airborne LiDAR
Lukas R. Jarron, Nicholas C. Coops, William H. MacKenzie, et al.
Remote Sensing of Environment (2020) Vol. 244, pp. 111770-111770
Closed Access | Times Cited: 87
The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory
Elias Ayrey, Daniel J. Hayes
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 649-649
Open Access | Times Cited: 86
Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement
Karel Kuželka, Martin Slavík, Peter Surový
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1236-1236
Open Access | Times Cited: 84
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
Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests
Hannah Weiser, Jannika Schäfer, Lukas Winiwarter, et al.
Earth system science data (2022) Vol. 14, Iss. 7, pp. 2989-3012
Open Access | Times Cited: 62
Framework for near real-time forest inventory using multi source remote sensing data
Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, et al.
Forestry An International Journal of Forest Research (2022) Vol. 96, Iss. 1, pp. 1-19
Open Access | Times Cited: 57
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
Eduarda Martiniano de Oliveira Silveira, Volker C. Radeloff, Sebastián Martinuzzi, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113391-113391
Open Access | Times Cited: 53
Mapping understory plant communities in deciduous forests from Sentinel-2 time series
Xiucheng Yang, Shi Qiu, Zhe Zhu, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113601-113601
Open Access | Times Cited: 37
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