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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:

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

Showing 1-25 of 28 citing articles:

A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India
Kurian Ayushi, Kanda Naveen Babu, Narayanan Ayyappan, et al.
Ecological Informatics (2024) Vol. 80, pp. 102479-102479
Open Access | Times Cited: 17
Estimating Forest Growing Stock Volume Using Feature Selection and Advanced Remote Sensing Algorithm
Yabing Zhao, Famiao Guo, Yin Wang, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101458-101458
Closed Access | Times Cited: 1
Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring
Uzair Ahmad, Abozar Nasirahmadi, Oliver Hensel, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 555-555
Open Access | Times Cited: 30
Improving aboveground biomass estimation of natural forests on the Tibetan Plateau using spaceborne LiDAR and machine learning algorithms
Fugen Jiang, Hua Sun, Kaisen Ma, et al.
Ecological Indicators (2022) Vol. 143, pp. 109365-109365
Open Access | Times Cited: 27
A stacked regression ensemble approach for the quantitative determination of biomass feedstock compositions using near infrared spectroscopy
Gerard G. Dumancas, Indra Adrianto
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 276, pp. 121231-121231
Open Access | Times Cited: 21
Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration
Qing X. Li, Jia Yin, Xiaoxin Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109904-109904
Closed Access
Fusion-Based Approaches and Machine Learning Algorithms for Forest Monitoring: A Systematic Review
Abdullah Al Saim, Mohamed H. Aly
Wild (2025) Vol. 2, Iss. 1, pp. 7-7
Open Access
Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach
Abdullah Al Saim, Mohamed H. Aly
Journal of Geovisualization and Spatial Analysis (2025) Vol. 9, Iss. 1
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
Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method
Er Wang, Tian‐Bao Huang, Zhi Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4497-4497
Open Access | Times Cited: 3
Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest Neighbor and Random Forest
Huafang Chen, Zhihao Qin, Deli Zhai, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5456-5456
Open Access | Times Cited: 14
Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI
Xinyu Li, Zilin Ye, Jiangping Long, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2754-2754
Open Access | Times Cited: 13
Evaluating the Sensitivity of Polarimetric Features Related to Rotation Domain and Mapping Chinese Fir AGB Using Quad-Polarimetric SAR Images
Tingchen Zhang, Hui Lin, Jiangping Long, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1519-1519
Open Access | Times Cited: 7
Comparing Algorithms for Estimation of Aboveground Biomass in Pinus yunnanensis
Tian‐Bao Huang, Guanglong Ou, Hui Xu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1742-1742
Open Access | Times Cited: 7
Analyzing the Saturation of Growing Stem Volume Based on ZY-3 Stereo and Multispectral Images in Planted Coniferous Forest
Tingchen Zhang, Hui Lin, Jiangping Long, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 15, pp. 50-61
Open Access | Times Cited: 12
Integration of UAV and GF-2 Optical Data for Estimating Aboveground Biomass in Spruce Plantations in Qinghai, China
Z. F. Wang, Lubei Yi, Wenqiang Xu, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9700-9700
Open Access | Times Cited: 5
Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps
Parth Naik, Michele Dalponte, Lorenzo Bruzzone
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 4755-4771
Open Access | Times Cited: 8
Production of High-Resolution Map of Biomass Carbon over Forests in Malaysia Estimated using Aboveground Carbon Density Indicator (ACDI) and a Collection of 12 Years Inventory Data
Hamdan Omar, Muhamad Afizzul Misman, Valeria Linggok, et al.
(2023)
Open Access | Times Cited: 4
A Novel Feature Evaluation Method in Mapping Forest AGB by Fusing Multiple Evaluation Metrics Using PolSAR Data
Tingchen Zhang, Jiangping Long, Hui Lin, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 1
Estimation of the Aboveground Carbon Storage of Dendrocalamus giganteus Based on Spaceborne Lidar Co-Kriging
Huanfen Yang, Zhen Qin, Qingtai Shu, et al.
Forests (2024) Vol. 15, Iss. 8, pp. 1440-1440
Open Access | Times Cited: 1
Mapping Growing Stem Volume Using Dual-Polarization GaoFen-3 SAR Images in Evergreen Coniferous Forests
Zilin Ye, Jiangping Long, Huanna Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2253-2253
Open Access | Times Cited: 3
How have RPAS helped monitor forests and what can we apply in forest restoration monitoring?
Melodie Kern Sarubo Dorth Sinegalia, Giulio Brossi Santoro, Paulo Guilherme Molin
Restoration Ecology (2023) Vol. 32, Iss. 1
Closed Access | Times Cited: 3
Interpretation and Mapping Tree Crown Diameter Using Spatial Heterogeneity in Relation to the Radiative Transfer Model Extracted from GF-2 Images in Planted Boreal Forest Ecosystems
Zhaohua Liu, Jiangping Long, Hui Lin, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1806-1806
Open Access | Times Cited: 2
Mapping Forest Growing Stem Volume Using Novel Feature Evaluation Criteria Based on Spectral Saturation in Planted Chinese Fir Forest
Hui Lin, Wanguo Zhao, Jiangping Long, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 402-402
Open Access | Times Cited: 1
Afforestation and other land- and soil-based methods
Steve Rackley
Elsevier eBooks (2023), pp. 215-248
Closed Access | Times Cited: 1
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