
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:
Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China
Xin Li, Xincheng Wang, Yuanfeng Gao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3447-3447
Open Access | Times Cited: 4
Xin Li, Xincheng Wang, Yuanfeng Gao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3447-3447
Open Access | Times Cited: 4
Showing 4 citing articles:
Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms
Savittri Ratanopad Suwanlee, Dusadee Pinasu, Jaturong Som-ard, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 750-750
Open Access | Times Cited: 7
Savittri Ratanopad Suwanlee, Dusadee Pinasu, Jaturong Som-ard, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 750-750
Open Access | Times Cited: 7
Vegetation Classification and a Biomass Inversion Model for Wildfires in Chongli Based on Remote Sensing Data
Feng Xu, Wenjing Chen, Rui Xie, et al.
Fire (2024) Vol. 7, Iss. 2, pp. 58-58
Open Access | Times Cited: 4
Feng Xu, Wenjing Chen, Rui Xie, et al.
Fire (2024) Vol. 7, Iss. 2, pp. 58-58
Open Access | Times Cited: 4
Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery via Ensemble Self-Training and Perturbation
B. Chen, Liangjing Wang, Xijian Fan, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4012-4012
Open Access | Times Cited: 7
B. Chen, Liangjing Wang, Xijian Fan, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4012-4012
Open Access | Times Cited: 7
Assessment of the Potential of Indirect Measurement for Sap Flow Using Environmental Factors and Artificial Intelligence Approach: A Case Study of Magnolia denudata in Shanghai Urban Green Spaces
Biao Zhang, Dongmei Zhang, Zhongke Feng, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1768-1768
Open Access | Times Cited: 3
Biao Zhang, Dongmei Zhang, Zhongke Feng, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1768-1768
Open Access | Times Cited: 3