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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:

Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region
Yukun Gao, Dengsheng Lu, Guiying Li, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 627-627
Open Access | Times Cited: 169

Showing 26-50 of 169 citing articles:

Estimation of Aboveground Carbon Density of Forests Using Deep Learning and Multisource Remote Sensing
Fanyi Zhang, Xin Tian, Haibo Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3022-3022
Open Access | Times Cited: 35
A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
A. Jaya Prakash, Mukunda Dev Behera, Sujit Madhab Ghosh, et al.
Ecological Informatics (2022) Vol. 72, pp. 101900-101900
Closed Access | Times Cited: 35
Forest Above-Ground Biomass Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model
Wangfei Zhang, Lixian Zhao, Yun Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1608-1608
Open Access | Times Cited: 29
Using machine learning algorithms to estimate stand volume growth of Larix and Quercus forests based on national-scale Forest Inventory data in China
Huiling Tian, Jianhua Zhu, Xiao He, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100037-100037
Open Access | Times Cited: 29
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data
Tian‐Bao Huang, Guanglong Ou, Yong Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3550-3550
Open Access | Times Cited: 22
Allometric models for aboveground biomass estimation of small trees and shrubs in African savanna ecosystems
Antonia Nyamukuru, Cory Whitney, John R. S. Tabuti, et al.
Trees Forests and People (2023) Vol. 11, pp. 100377-100377
Open Access | Times Cited: 21
Modeling forest above-ground biomass using freely available satellite and multisource datasets
Ai Hojo, Ram Avtar, Tatsuro Nakaji, et al.
Ecological Informatics (2023) Vol. 74, pp. 101973-101973
Closed Access | Times Cited: 20
Estimation of Above-Ground Forest Biomass in Nepal by the Use of Airborne LiDAR, and Forest Inventory Data
Yam Bahadur KC, Qijing Liu, Pradip Saud, et al.
Land (2024) Vol. 13, Iss. 2, pp. 213-213
Open Access | Times Cited: 8
UAV and Satellite Synergies for Mapping Grassland Aboveground Biomass in Hulunbuir Meadow Steppe
Zhu Xiao-hua, Xinyu Chen, Lingling Ma, et al.
Plants (2024) Vol. 13, Iss. 7, pp. 1006-1006
Open Access | Times Cited: 8
Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques
Sudarsan Biswal, Navneet Pathak, Chandranath Chatterjee, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 7
Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison
Guanglong Ou, Chao Li, Yanyu Lv, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 738-738
Open Access | Times Cited: 50
Estimating Urban Vegetation Biomass from Sentinel-2A Image Data
Long Li, Xisheng Zhou, Longqian Chen, et al.
Forests (2020) Vol. 11, Iss. 2, pp. 125-125
Open Access | Times Cited: 50
Remote Estimation of Mangrove Aboveground Carbon Stock at the Species Level Using a Low-Cost Unmanned Aerial Vehicle System
Zhen Li, Qijie Zan, Qiong Yang, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1018-1018
Open Access | Times Cited: 48
Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data
Xiandie Jiang, Guiying Li, Dengsheng Lu, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1101-1101
Open Access | Times Cited: 46
Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method
Fugen Jiang, Mykola Kutia, Arbi J. Sarkissian, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7248-7248
Open Access | Times Cited: 41
Spatial and temporal variations of maize and wheat yield gaps and their relationships with climate in China
Yukun Gao, Hongfang Zhao, Chuang Zhao, et al.
Agricultural Water Management (2022) Vol. 270, pp. 107714-107714
Closed Access | Times Cited: 25
Predicting Individual Tree Diameter of Larch (Larix olgensis) from UAV-LiDAR Data Using Six Different Algorithms
Yusen Sun, Xingji Jin, Timo Pukkala, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1125-1125
Open Access | Times Cited: 23
Floristic Composition, Structure, and Aboveground Biomass of the Moraceae Family in an Evergreen Andean Amazon Forest, Ecuador
Walter García-Cox, Rolando López-Tobar, Robinson J. Herrera-Feijoo, et al.
Forests (2023) Vol. 14, Iss. 7, pp. 1406-1406
Open Access | Times Cited: 16
Biomass Estimation and Saturation Value Determination Based on Multi-Source Remote Sensing Data
Rula Sa, Yonghui Nie, С. И. Чумаченко, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2250-2250
Open Access | Times Cited: 6
Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume Estimation: A Comprehensive Analysis of Baishanzu Forest Park, China
Bo Wang, Yao Chen, Zhijun Yan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 324-324
Open Access | Times Cited: 5
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China
Yangguang Li, Ning Han, Xuejian Li, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 898-898
Open Access | Times Cited: 44
Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation
Tony Chang, Brandon Rasmussen, Brett G. Dickson, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 768-768
Open Access | Times Cited: 36
Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method
Xinyu Li, Hui Lin, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2740-2740
Open Access | Times Cited: 28
A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28
Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar Coupled with Canopy Volume
Bo Zhang, Xuejian Li, Huaqiang Du, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6375-6375
Open Access | Times Cited: 20

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