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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:

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

Showing 1-25 of 28 citing articles:

Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models
Mi Luo, Shoaib Ahmad Anees, Qiuyan Huang, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 975-975
Open Access | Times Cited: 28
Estimation of Forest Stand Volume in Coniferous Plantation from Individual Tree Segmentation Aspect Using UAV-LiDAR
Xinshao Zhou, Kaisen Ma, Hua Sun, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2736-2736
Open Access | Times Cited: 5
Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks
Zhouxin Xi, Chris Hopkinson, L. Chasmer
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 324-343
Open Access | Times Cited: 4
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: 4
High-resolution sensors and deep learning models for tree resource monitoring
Martin Brandt, Jérôme Chave, Sizhuo Li, et al.
Nature Reviews Electrical Engineering (2024) Vol. 2, Iss. 1, pp. 13-26
Closed Access | Times Cited: 4
Advances in Laser Scanning to Assess Carbon in Forests: From Ground-Based to Space-Based Sensors
Nicholas C. Coops, Liam Irwin, Harry Seely, et al.
Current Forestry Reports (2025) Vol. 11, Iss. 1
Closed Access
LiDAR Image-Based Earth Carbon Emission Analysis and Its Impact on Public Health: A Machine Learning Model
S. Meghana, D. Lakshmi Padmaja, Krishna Sriharsha Gundu, et al.
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Monomm: a multi-scale mamba-enhanced network for real-time monocular 3D object detection
Youjia Fu, Zihao Xu, Junsong Fu, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Modeling LiDAR-Derived 3D Structural Metric Estimates of Individual Tree Aboveground Biomass in Urban Forests: A Systematic Review of Empirical Studies
Ruonan Li, Lei Wang, Yalin Zhai, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 390-390
Open Access
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
Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning
Longyu Zhou, Dezhi Han, Guangyao Sun, et al.
Plant Phenomics (2025), pp. 100028-100028
Open Access
Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China
Jamshid Ali, Haoran Wang, Kaleem Mehmood, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Harnessing AI for Precise AGB Estimation in Remote Areas
Fajar W. Wijaya, Mikael Prakoso, Muhammad Bondan V. Ramadhan, et al.
Advances in computational intelligence and robotics book series (2025), pp. 99-132
Closed Access
Deciphering the UAV-LiDAR contribution to vegetation classification using interpretable machine learning
Tao Huang, Lei Jiao, Yingfei Bai, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110360-110360
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
Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model
Guoqing Zhou, Haowen Li, Jing Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1304-1304
Open Access | Times Cited: 3
Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms
Yafeng Li, Changchun Li, Qian Cheng, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3176-3176
Open Access | Times Cited: 2
UAV or satellites? How to find the balance between efficiency and accuracy in above ground biomass estimation of artificial young coniferous forest?
Zefu Tao, Lubei Yi, Anming Bao, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104173-104173
Open Access | Times Cited: 2
Evaluating forest aboveground biomass estimation model using simulated ALS point cloud from an individual-based forest model and 3D radiative transfer model across continents
Zhexiu Yu, Jianbo Qi, Shangbo Liu, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123287-123287
Closed Access | Times Cited: 2
Inversion of Forest Aboveground Biomass in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment
Yonghui Nie, Rula Sa, С. И. Чумаченко, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2229-2229
Open Access | Times Cited: 1
Construction of Compatible Volume Model for Populus in Beijing, China
Shan Wang, Zhichao Wang, Zhongke Feng, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1059-1059
Open Access | Times Cited: 1
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
Guangpeng Fan, Fei Yan, Xiangquan Zeng, et al.
(2024)
Open Access
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
Guangpeng Fan, Fei Yan, Xiangquan Zeng, et al.
SSRN Electronic Journal (2024)
Open Access
Matrice 300 RTK e Zenmuse L1: Guia Prático de Voo e Pré-Processamento
Taís Rizzo Moreira, Alexandre Rosa dos Santos, Jéferson Pereira Martins Silva, et al.
CAUFES eBooks (2024)
Open Access
Mapping Forest Carbon Stock Distribution in a Subtropical Region with the Integration of Airborne Lidar and Sentinel-2 Data
Xiaoyu Sun, Guiying Li, Qinquan Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3847-3847
Open Access
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