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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:

High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China
Bangqian Chen, Ting Yun, Jun Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3853-3853
Open Access | Times Cited: 24

Showing 24 citing articles:

Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
Onisimo Mutanga, Anita Masenyama, Mbulisi Sibanda
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 297-309
Closed Access | Times Cited: 92
Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery
Hongjian Tan, Weili Kou, Weiheng Xu, et al.
Drones (2025) Vol. 9, Iss. 1, pp. 32-32
Open Access | Times Cited: 2
Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery
Yuying Liang, Weili Kou, Hongyan Lai, et al.
Ecological Indicators (2022) Vol. 142, pp. 109286-109286
Closed Access | Times Cited: 46
Application of Optical Remote Sensing in Rubber Plantations: A Systematic Review
Fathin Ayuni Azizan, Adhitya Marendra Kiloes, Ike Sari Astuti, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 429-429
Open Access | Times Cited: 46
Estimation of Rubber Plantation Biomass Based on Variable Optimization from Sentinel-2 Remote Sensing Imagery
Yanglimin Fu, Hongjian Tan, Weili Kou, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 900-900
Open Access | Times Cited: 6
Pixel-Based Mapping of Rubber Plantation Age at Annual Resolution Using Supervised Learning for Forest Inventory and Monitoring
Sangdao Wongsai, Manatsawee Sanpayao, Supet Jirakajohnkool, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 672-672
Open Access
Main drivers of plant diversity patterns of rubber plantations in the Greater Mekong Subregion
Guoyu Lan, Bangqian Chen, Chuan Yang, et al.
Biogeosciences (2022) Vol. 19, Iss. 7, pp. 1995-2005
Open Access | Times Cited: 11
Regression Models for Estimating Aboveground Biomass and Stand Volume Using Landsat-Based Indices in Post-Mining Area
A R Priatama, Yudi Setiawan
Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) (2022) Vol. 28, Iss. 1, pp. 1-14
Open Access | Times Cited: 9
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: 5
Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem: A Case Study of Hainan Island, China
Junyi Liu, Zhixiang Wu, Siqi Yang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14068-14068
Open Access | Times Cited: 8
Age-Based Stratification to Estimate Aboveground Biomass (AGB) and Carbon Stocks of Rubber Plantations in Tripura
S. Vazeed Pasha, V. K. Dadhwal
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 4, pp. 711-721
Closed Access | Times Cited: 4
The opportunities and challenges associated with developing rubber plantations as carbon sinks in China
Zhen-Sheng Ma, Lei Liu, Dongling Qi, et al.
Journal of Rubber Research (2024) Vol. 27, Iss. 3, pp. 309-321
Closed Access | Times Cited: 1
Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm
Yuanfeng Gao, Ting Yun, Bangqian Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103941-103941
Open Access | Times Cited: 1
Evaluation of the temperature adaptation of three rubber tree pest mites based on their two‐sex life table
Weihua Wang, Sanlian Wan, Lijiu Zheng, et al.
Archives of Insect Biochemistry and Physiology (2024) Vol. 116, Iss. 4
Closed Access | Times Cited: 1
Geospatial Environmental Influence on Forest Carbon Sequestration Potential of Tropical Forest Growth in Hainan Island, China
Meizhi Lin, Yanni Song, Lu Di, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 6
Rubber Tree Recognition Based on UAV RGB Multi-Angle Imagery and Deep Learning
Yuying Liang, Yongke Sun, Weili Kou, et al.
Drones (2023) Vol. 7, Iss. 9, pp. 547-547
Open Access | Times Cited: 3
Deep learning-based prediction for stand age and land utilization of rubber plantation
Indra Mahakalanda, Piyumal Demotte, Indika Perera, et al.
Elsevier eBooks (2022), pp. 131-156
Closed Access | Times Cited: 3
Main drivers of plant diversity patterns of rubber plantations in the Greater Mekong Sub-region
Guoyu Lan, Banqian Chen, Chuan Yang, et al.
(2022)
Open Access | Times Cited: 1
Correction: Chen et al. High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China. Remote Sens. 2020, 12, 3853
Bangqian Chen, Ting Yun, Jun Ma, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 5044-5044
Open Access | Times Cited: 1
Comment on bg-2021-335
Yuwu Li
(2022)
Open Access
Comment on bg-2021-335
Guoyu Lan, Bangqian Chen, Chuan Yang, et al.
(2022)
Open Access
Reply on RC1
Guoyu Lan
(2022)
Open Access
Reply on RC2
Guoyu Lan
(2022)
Open Access
Remote Sensing-Based Assessment of How Much Tropical Wetland Fires Contribute to Carbon Emissions and How Fast the Carbon Recovering Is
Abdi Fithria, Syamani D. Ali, Arfa Agustina Rezekiah
Journal of Wetlands Environmental Management (2022) Vol. 10, Iss. 1, pp. 48-48
Open Access
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