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:
Machine Learning: Volume and Biomass Estimates of Commercial Trees in the Amazon Forest
Samuel José Silva Soares da Rocha, Flora Magdaline Benitez Romero, Carlos Moreira Miquelino Eleto Torres, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9452-9452
Open Access | Times Cited: 6
Samuel José Silva Soares da Rocha, Flora Magdaline Benitez Romero, Carlos Moreira Miquelino Eleto Torres, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9452-9452
Open Access | Times Cited: 6
Showing 6 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
Kurian Ayushi, Kanda Naveen Babu, Narayanan Ayyappan, et al.
Ecological Informatics (2024) Vol. 80, pp. 102479-102479
Open Access | Times Cited: 17
Machine learning methods: Modeling net growth in the Atlantic Forest of Brazil
Samuel José Silva Soares da Rocha, Carlos Moreira Miquelino Eleto Torres, Paulo Henrique Villanova, et al.
Ecological Informatics (2024) Vol. 81, pp. 102564-102564
Open Access | Times Cited: 9
Samuel José Silva Soares da Rocha, Carlos Moreira Miquelino Eleto Torres, Paulo Henrique Villanova, et al.
Ecological Informatics (2024) Vol. 81, pp. 102564-102564
Open Access | Times Cited: 9
Comparing the allometric model to machine learning algorithms for aboveground biomass estimation in tropical forests
Abhilash Dutta Roy, Subedika Debbarma
Deleted Journal (2024) Vol. 44, Iss. 5, pp. 1069-1078
Open Access | Times Cited: 4
Abhilash Dutta Roy, Subedika Debbarma
Deleted Journal (2024) Vol. 44, Iss. 5, pp. 1069-1078
Open Access | Times Cited: 4
Extraction of the spatial structure of Chinese fir plantations stands based on unmanned aerial vehicle and its effect on AGB
Xiang Huang, Yichen Chen, Hongru Tan, et al.
Forest Ecology and Management (2024) Vol. 558, pp. 121800-121800
Closed Access | Times Cited: 3
Xiang Huang, Yichen Chen, Hongru Tan, et al.
Forest Ecology and Management (2024) Vol. 558, pp. 121800-121800
Closed Access | Times Cited: 3
Eucalyptus diameter and volume prediction with deep neural networks: A Long Short-Term Memory model approach
Welington G. Rodrigues, Gabriel da Silva Vieira, Christian Dias Cabacinha, et al.
Expert Systems with Applications (2025), pp. 126704-126704
Closed Access
Welington G. Rodrigues, Gabriel da Silva Vieira, Christian Dias Cabacinha, et al.
Expert Systems with Applications (2025), pp. 126704-126704
Closed Access
Predicting Aboveground Carbon Storage in Different Types of Forests in South Subtropical Regions Using Machine Learning Models
Jiarun Liu, Zhongxing Yang, Lin Li, et al.
Ecology and Evolution (2025) Vol. 15, Iss. 5
Open Access
Jiarun Liu, Zhongxing Yang, Lin Li, et al.
Ecology and Evolution (2025) Vol. 15, Iss. 5
Open Access
Improving European Black Pine Stem Volume Prediction Using Machine Learning Models with Easily Accessible Field Measurements
Maria J. Diamantopoulou, Aristeidis Georgakis
Forests (2024) Vol. 15, Iss. 12, pp. 2251-2251
Open Access | Times Cited: 1
Maria J. Diamantopoulou, Aristeidis Georgakis
Forests (2024) Vol. 15, Iss. 12, pp. 2251-2251
Open Access | Times Cited: 1
