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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:

Aboveground biomass estimation in forests with random forest and Monte Carlo-based uncertainty analysis
Zizhao Li, Shoudong Bi, Shuang Hao, et al.
Ecological Indicators (2022) Vol. 142, pp. 109246-109246
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Inversion of large-scale citrus soil moisture using multi-temporal Sentinel-1 and Landsat-8 data
Zongjun Wu, Ningbo Cui, Wenjiang Zhang, et al.
Agricultural Water Management (2024) Vol. 294, pp. 108718-108718
Open Access | Times Cited: 11
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
Uncertainty Analysis of Remote Sensing Estimation of Chinese Fir (Cunninghamia lanceolata) Aboveground Biomass in Southern China
Yujie Hu, Liyong Fu, Bingsheng Qiu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 230-230
Open Access
Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning
Zhou Jia, Mei Zan, Lili Zhai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessing above ground biomass of Wunbaik Mangrove Forest in Myanmar using machine learning and remote sensing data
Win Sithu Maung, Satoshi Tsuyuki, Takuya Hiroshima, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Artificial Intelligence Technique for Prediction of Carbon Stocks and Uncertainty Estimates in Tropical Forests
Sehinde Akinbiola, Jide Ebenezer Taiwo Akinsola, Sunday Adeola Ajagbe, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms
Jiamin Ma, Wangfei Zhang, Yongjie Ji, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
A novel well-logging data generation model integrated with random forests and adaptive domain clustering algorithms
Tianru Song, Weiyao Zhu, Zhangxin Chen, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212381-212381
Closed Access | Times Cited: 11
The contributions of stand characteristics on carbon sequestration potential are triple that of climate variables for Larix spp. plantations in northeast China
Lingbo Dong, Xueying Lin, Pete Bettinger, et al.
The Science of The Total Environment (2023) Vol. 911, pp. 168726-168726
Closed Access | Times Cited: 10
A Novel Framework for Forest Above-Ground Biomass Inversion Using Multi-Source Remote Sensing and Deep Learning
Junxiang Zhang, Cui Zhou, Gui Zhang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 456-456
Open Access | Times Cited: 3
Hyperspectral Estimation of Chlorophyll Content in Grape Leaves Based on Fractional-Order Differentiation and Random Forest Algorithm
Yafeng Li, Xingang Xu, Wenbiao Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2174-2174
Open Access | Times Cited: 3
Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method
Sahar Heidari Masteali, Mahmoud Bayat, Pete Bettinger, et al.
Ecological Indicators (2024) Vol. 170, pp. 112979-112979
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
Manajemen Persediaan Darah Komponen Packed Red Cell (PRC) Menggunakan Simulasi Monte Carlo
Wulan Purnamasari Hasanah
Action Research Literate (2024) Vol. 8, Iss. 7
Open Access | Times Cited: 2
Evaluation of statistical and machine learning models using satellite data to estimate aboveground biomass: A study in Vietnam Tropical Forests
Thuy Phuong Nguyen, Phuc Khoa Nguyen, Huu Ngu Nguyen, et al.
Forest Science and Technology (2024), pp. 1-13
Open Access | Times Cited: 2
Seasonal evaluation and mapping of aboveground biomass in natural rangelands using Sentinel-1 and Sentinel-2 data
Monde Rapiya, Abel Ramoelo, Wayne Truter
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Open Access | Times Cited: 6
Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction
Donato Amitrano, Giovanni Giacco, Stefano Marrone, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5138-5138
Open Access | Times Cited: 4
Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms
Madeleine Gillespie, Gregory S. Okin, Thoralf Meyer, et al.
(2024)
Open Access | Times Cited: 1
Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat, and Sentinel data
Natasha Lutz, Pedro Rodríguez‐Veiga, Imma Oliveras
Environmental Research Ecology (2024) Vol. 3, Iss. 4, pp. 045004-045004
Open Access | Times Cited: 1
Random forest regression kriging modeling for soil organic carbon density estimation using multi-source environmental data in central Vietnamese forests
Viet Hoang Ho, Hidenori MORITA, Felix Bachofer, et al.
Modeling Earth Systems and Environment (2024)
Open Access | Times Cited: 1
Towards complex applications of active remote sensing for ecology and conservation
Hooman Latifi, Rubén Valbuena, Carlos Alberto Silva
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 7, pp. 1578-1586
Open Access | Times Cited: 3
Assessment of above ground biomass and soil organic carbon in the forests of Nepal under climate change scenario
Rajesh Malla, Prem Raj Neupane, Michael Köhl
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 3
Phenology and Plant Functional Type Link Optical Properties of Vegetation Canopies to Patterns of Vertical Vegetation Complexity
Duncan Jurayj, R.J. Bowers, Jessica V. Fayne
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2577-2577
Open Access
Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms
Madeleine Gillespie, Gregory S. Okin, Thoralf Meyer, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3943-3943
Open Access
Feature extraction of fluorescence excitation-emission matrices using PCA fused with Wilks Λ-statistic and FDA for origin identification and active components content prediction of sweet basil
Wenfei Du, Yong Yin, Hao Wu, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 12, pp. 9971-9982
Closed Access
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