
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:
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
Tian‐Bao Huang, Guanglong Ou, Hui Xu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1742-1742
Open Access | Times Cited: 7
Showing 7 citing articles:
Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna
Yong Wu, Guanglong Ou, Teng-Fei Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1276-1276
Open Access | Times Cited: 6
Yong Wu, Guanglong Ou, Teng-Fei Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1276-1276
Open Access | Times Cited: 6
Forest Aboveground Biomass Estimation in Küre Mountains National Park Using Multifrequency SAR and Multispectral Optical Data with Machine-Learning Regression Models
Eren Gürsoy ÖZDEMİR, Saygın Abdikan
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1063-1063
Open Access
Eren Gürsoy ÖZDEMİR, Saygın Abdikan
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1063-1063
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
Er Wang, Tian‐Bao Huang, Zhi Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4497-4497
Open Access | Times Cited: 3
Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China
Zihao Liu, Tian‐Bao Huang, Yong Wu, et al.
Ecological Informatics (2024) Vol. 83, pp. 102796-102796
Open Access | Times Cited: 2
Zihao Liu, Tian‐Bao Huang, Yong Wu, et al.
Ecological Informatics (2024) Vol. 83, pp. 102796-102796
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
Thuy Phuong Nguyen, Phuc Khoa Nguyen, Huu Ngu Nguyen, et al.
Forest Science and Technology (2024), pp. 1-13
Open Access | Times Cited: 2
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
Huanfen Yang, Zhen Qin, Qingtai Shu, et al.
Forests (2024) Vol. 15, Iss. 8, pp. 1440-1440
Open Access | Times Cited: 1
基于Landsat和Sentinel-2卫星的草地利用率遥感监测——以不同草地类型放牧平台为例
Chuchen Chang, Jie Wang, Jilin Yang, et al.
Chinese Science Bulletin (Chinese Version) (2024)
Closed Access
Chuchen Chang, Jie Wang, Jilin Yang, et al.
Chinese Science Bulletin (Chinese Version) (2024)
Closed Access