Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
Qiuli Yang, Yanjun Su, Tianyu Hu, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100059-100059
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 9
Modelling above ground biomass for a mixed-tree urban arboretum forest based on a LiDAR-derived canopy height model and field-sampled data
Jigme Thinley, Catherine Marina Pickering, Christopher E. Ndehedehe
GEOMATICA (2025), pp. 100047-100047
Open Access | Times Cited: 1
Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
Biao Zhang, Zhichao Wang, Tiantian Ma, et al.
Ecological Informatics (2025), pp. 103045-103045
Open Access | Times Cited: 1
A machine learning method for distinguishing detrital zircon provenance
Shihua Zhong, Yongjiang Liu, Sanzhong Li, et al.
Contributions to Mineralogy and Petrology (2023) Vol. 178, Iss. 6
Open Access | Times Cited: 21
UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China
Xiaoliang Jin, Yü Liu, Xiubo Yu
Ecological Informatics (2024) Vol. 81, pp. 102574-102574
Open Access | Times Cited: 7
Spatially continuous estimation of urban forest aboveground biomass with UAV-LiDAR and multispectral scanning: An allometric model of forest structural diversity
Yalin Zhai, Lei Wang, Yunlong Yao, et al.
Agricultural and Forest Meteorology (2024) Vol. 360, pp. 110301-110301
Closed Access | Times Cited: 6
Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory
Jonathan A. Knott, Greg C. Liknes, Courtney L. Giebink, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 7, pp. 1587-1602
Open Access | Times Cited: 15
Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale
Rina Su, Wala Du, Yu Shan, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3927-3927
Open Access | Times Cited: 5
Assessing the potential of mobile laser scanning for stand-level forest inventories in near-natural forests
Can Vatandaşlar, Mehmet Seki, Mustafa Zeybek
Forestry An International Journal of Forest Research (2023) Vol. 96, Iss. 4, pp. 448-464
Closed Access | Times Cited: 12
Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models
Asadilla Yusup, Ümüt Halik, Maierdang Keyimu, et al.
Forest Ecosystems (2023) Vol. 10, pp. 100082-100082
Open Access | Times Cited: 11
Investigating Dual-Source Satellite Image Data and ALS Data for Estimating Aboveground Biomass
Wen Fan, Jiaojiao Tian, Thomas Knoke, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1804-1804
Open Access | Times Cited: 4
Optimal integration of forest inventory data and aerial image-based canopy height models for forest stand management
Ardalan Daryaei, Zoran Trailović, Hormoz Sohrabi, et al.
Forest Ecosystems (2025), pp. 100299-100299
Open Access
Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery
Xiaodi Xu, Ya Zhang, Peng Fu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104348-104348
Open Access
Mapping Forest Aboveground Biomass Using Multi-Source Remote Sensing Data Based on the XGBoost Algorithm
Dejun Wang, Yanqiu Xing, Anmin Fu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 347-347
Open Access
Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China’s boreal forests
Pan Liu, Chunying Ren, Xiutao Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
From Air to Space: A Comprehensive Approach to Optimizing Aboveground Biomass Estimation on UAV-Based Datasets
Muhammad Nouman Khan, Yumin Tan, Lingfeng He, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 214-214
Open Access
Mapping the Spatial Distribution of Aboveground Biomass in China’s Subtropical Forests Based on UAV LiDAR Data
Ganxing Wang, Shun Li, Chao Huang, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1560-1560
Open Access | Times Cited: 9
LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations
Abraham Aidoo Borsah, Majid Nazeer, Man Sing Wong
Forests (2023) Vol. 14, Iss. 10, pp. 2095-2095
Open Access | Times Cited: 9
Estimation of Aboveground Carbon Stocks in Forests Based on LiDAR and Multispectral Images: A Case Study of Duraer Coniferous Forests
Rina Su, Wala Du, Hong Ying, et al.
Forests (2023) Vol. 14, Iss. 5, pp. 992-992
Open Access | Times Cited: 7
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
Improved Object-Based Mapping of Aboveground Biomass Using Geographic Stratification with GEDI Data and Multi-Sensor Imagery
Lin Chen, Chunying Ren, Bai Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2625-2625
Open Access | Times Cited: 6
Forest Volume Estimation Method Based on Allometric Growth Model and Multisource Remote Sensing Data
Yanjie Wu, Zhihui Mao, Lijie Guo, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8900-8912
Open Access | Times Cited: 5
Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China
Xin Li, Xincheng Wang, Yuanfeng Gao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3447-3447
Open Access | Times Cited: 4
Active Remote Sensing Assessment of Biomass Productivity and Canopy Structure of Short-Rotation Coppice American Sycamore (Platanus occidentalis L.)
Omoyemeh J. Ile, Lindsey S. Smart, Justyna Jeziorska, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2589-2589
Open Access | Times Cited: 1
Classification of Forest LiDAR Data Using Deep Learning Pipeline Algorithm and Geometric Feature Analysis
Fayez Tarsha Kurdi
International Journal of Environmental Sciences & Natural Resources (2023) Vol. 32, Iss. 3
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top