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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:

Two-phase forest inventory using very-high-resolution laser scanning
Henrik Persson, Kenneth Olofsson, Johan Holmgren
Remote Sensing of Environment (2022) Vol. 271, pp. 112909-112909
Open Access | Times Cited: 25

Showing 25 citing articles:

Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114078-114078
Open Access | Times Cited: 25
Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping—A Mixed Forests Showcase in Spain
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1169-1169
Open Access | Times Cited: 24
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
Maciej Wielgosz, Stefano Puliti, Binbin Xiang, et al.
Remote Sensing of Environment (2024) Vol. 313, pp. 114367-114367
Open Access | Times Cited: 12
Using Synthetic Tree Data in Deep Learning-Based Tree Segmentation Using LiDAR Point Clouds
Mitch Bryson, Feiyu Wang, James Allworth
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2380-2380
Open Access | Times Cited: 11
Tree Segmentation and Parameter Measurement from Point Clouds Using Deep and Handcrafted Features
Feiyu Wang, Mitch Bryson
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1086-1086
Open Access | Times Cited: 11
Integration of UAS and Backpack-LiDAR to Estimate Aboveground Biomass of Picea crassifolia Forest in Eastern Qinghai, China
Jauhar Ali, Long Chen, Bin Liao, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 681-681
Open Access
Combining hand-held and drone-based lidar for forest carbon monitoring: insights from a Mediterranean mixed forest in central Portugal
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
European Journal of Forest Research (2025)
Open Access
Use of close-range LiDAR devices and statistical inference approaches in operational stand-level forest inventories
Juan Alberto Molina-Valero, Rorai Pereira Martins-Neto, Adela Martínez-Calvo, et al.
Remote Sensing of Environment (2025) Vol. 325, pp. 114773-114773
Open Access
Comparison of Field Sampling- and Airborne Laser Scanning-Derived Stand-Level Inventories in a Mixed Conifer Forest and Volume Validation Using Log Scaling Data
Aaron M. Sparks, Mark V. Corrao, Robert Keefe, et al.
Forests (2025) Vol. 16, Iss. 5, pp. 784-784
Open Access
Handling uncertainties in forest information: the hierarchical forest planning process and its use of information at large forest companies
Patrik Ulvdal, Karin Öhman, Ljusk Ola Eriksson, et al.
Forestry An International Journal of Forest Research (2022) Vol. 96, Iss. 1, pp. 62-75
Open Access | Times Cited: 11
The utility of forest attribute maps for automated Avalanche Terrain Exposure Scale (ATES) modelling
Johannes Schumacher, Håvard Boutera Toft, J. Paul McLean, et al.
Scandinavian Journal of Forest Research (2022) Vol. 37, Iss. 4, pp. 264-275
Open Access | Times Cited: 10
Detection of standing retention trees in boreal forests with airborne laser scanning point clouds and multispectral imagery
Alwin Hardenbol, Lauri Korhonen, Mikko Kukkonen, et al.
Methods in Ecology and Evolution (2022) Vol. 14, Iss. 7, pp. 1610-1622
Open Access | Times Cited: 7
Assessing the Performance of a Hand-held Laser Scanning for Individual Tree Mapping in an Urban Area
J.‐M. Yang, Wenwen Yuan, Huicui Lu, et al.
(2024)
Open Access | Times Cited: 1
Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area
J.‐M. Yang, Wenwen Yuan, Huicui Lu, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 575-575
Open Access | Times Cited: 1
Accuracy of tree mapping based on hand-held laser scanning comparing leaf-on and leaf-off conditions in mixed forests
Frederico Tupinambá‐Simões, Adrián Pascual, Juan Guerra-Hernández, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1
Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning
Raul de Paula Pires, Eva Lindberg, Henrik Persson, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114414-114414
Open Access | Times Cited: 1
Applications of artificial intelligence and LiDAR in forest inventories: A Systematic Literature Review
Welington G. Rodrigues, Gabriel da Silva Vieira, Christian Dias Cabacinha, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109793-109793
Closed Access | Times Cited: 1
Improvement of Treetop Displacement Detection by UAV-LiDAR Point Cloud Normalization: A Novel Method and A Case Study
Kaisen Ma, Chaokui Li, Fugen Jiang, et al.
Drones (2023) Vol. 7, Iss. 4, pp. 262-262
Open Access | Times Cited: 2
Characterizing prediction errors of a new tree height model for cut-to-length Pinus radiata stems through the Burr Type XII distribution
Xinyu Cao, Huiquan Bi, Duncan Watt, et al.
Journal of Forestry Research (2023) Vol. 34, Iss. 6, pp. 1899-1914
Closed Access | Times Cited: 2
Comparison of Single Tree Species Classification Using Very Dense ALS Data or Dual-Wave ALS Data
Henrik Persson, Christoffer Axelsson, Ritwika Mukhopadhyay, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 3066-3069
Closed Access | Times Cited: 2
Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking
Kenneth Olofsson, Johan Holmgren
Silva Fennica (2022) Vol. 56, Iss. 3
Open Access | Times Cited: 3
Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference
Ritwika Mukhopadhyay, Erik Næsset, Terje Gobakken, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3508-3508
Open Access | Times Cited: 1
Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region
Ritwika Mukhopadhyay, Magnus Ekström, Eva Lindberg, et al.
Forestry An International Journal of Forest Research (2024)
Open Access
Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees
Mitch Bryson, Ahalya Ravendran, Céline Mercier, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2024), pp. 100078-100078
Open Access
Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data
Ritwika Mukhopadhyay, Mats Nilsson, Magnus Ekström, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 3253-3256
Open Access
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