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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:

Remote Sensing Estimation of Bamboo Forest Aboveground Biomass Based on Geographically Weighted Regression
Jingyi Wang, Huaqiang Du, Xuejian Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2962-2962
Open Access | Times Cited: 24

Showing 24 citing articles:

Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China
Huimian Li, Guilian Zhang, Qicheng Zhong, et al.
Remote Sensing (2023) Vol. 15, Iss. 1, pp. 284-284
Open Access | Times Cited: 22
UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests
Lingjun Zhang, Yinyin Zhao, Chao Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 705-705
Open Access | Times Cited: 9
Satellite based integrated approaches to modelling spatial carbon stock and carbon sequestration potential of different land uses of Northeast India
Reetashree Bordoloi, Biswajit Das, Om Prakash Tripathi, et al.
Environmental and Sustainability Indicators (2021) Vol. 13, pp. 100166-100166
Open Access | Times Cited: 48
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
Mapping aboveground biomass of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress using Sentinel-2 imagery
Lingyan Chen, Anqi He, Zhanghua Xu, et al.
Ecological Indicators (2024) Vol. 158, pp. 111564-111564
Open Access | Times Cited: 6
Estimation of Bamboo Forest Aboveground Carbon Using the RGLM Model Based on Object-Based Multiscale Segmentation of SPOT-6 Imagery
Yulong Lv, Ning Han, Huaqiang Du
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2566-2566
Open Access | Times Cited: 13
Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China
Hung-Il Jin, Yinghui Zhao, Unil Pak, et al.
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 4
Drivers of forest productivity in two regions of the United States: Relative impacts of management and environmental variables
Hazhir Karimi, Michael W. Binford, William Kleindl, et al.
Journal of Environmental Management (2025) Vol. 374, pp. 124040-124040
Closed Access
UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection
Jing Shi, Kaili Yang, Ningge Yuan, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127529-127529
Open Access
Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data
Zige Lan, Xiandie Jiang, Guiying Li, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Potential effects of fertilization strategies on greenhouse gas emissions from bamboo forest soils
Ziliang Zhao, Dejin Dong, Yujie Zhao, et al.
Research Square (Research Square) (2025)
Closed Access
Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method
Li Xu, Jinge Yu, Qingtai Shu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Spatial Downscaling of Forest Above-Ground Biomass Distribution Patterns Based on Landsat 8 OLI Images and a Multiscale Geographically Weighted Regression Algorithm
Nan Wang, Min Sun, Junhong Ye, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 526-526
Open Access | Times Cited: 5
Mapping aboveground carbon density of subtropical subalpine dwarf bamboo (Yushania niitakayamensis) vegetation using UAV-lidar
Hsiao-Lung Pan, Chu‐Mei Huang, Cho‐ying Huang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103487-103487
Open Access | Times Cited: 5
Spatial–Temporal Variations of the Gross Ecosystem Product under the Influence of the Spatial Spillover Effect of Urbanization and Ecological Construction in the Yangtze River Delta Region of China
Lin Ji, Yuanjing Qi, Qun’ou Jiang, et al.
Land (2024) Vol. 13, Iss. 6, pp. 778-778
Open Access | Times Cited: 1
What Drives the Spatial Variation of Interregional Ancient Trees? A Geoinformatics–Based Approach in Henan, Central China
Heping Hou, Wanqian Ren, Zexin Wang, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1010-1010
Open Access | Times Cited: 1
Greenhouse gas emissions and carbon and water footprints during processing of Lei bamboo shoots
Zixiang Weng, Shuiqin Lu, Xuekun Cheng, et al.
Journal of Cleaner Production (2024) Vol. 469, pp. 143110-143110
Closed Access | Times Cited: 1
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
Multi-scale geographically weighted regression estimation of carbon storage on coniferous forests considering residual distribution using remote sensing data
Meixuan Song, Zihao Huang, Chao Chen, et al.
Ecological Indicators (2024) Vol. 166, pp. 112495-112495
Open Access | Times Cited: 1
Landsat-based spatiotemporal estimation of subtropical forest aboveground carbon storage using machine learning algorithms with hyperparameter tuning
Lei Huang, Zihao Huang, Weilong Zhou, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Spatial and temporal characteristics of carbon emission and sequestration of terrestrial ecosystems and their driving factors in mainland China—a case study of 352 prefectural administrative districts
Jingyuan Lin, Yi Guo, Jiayan Li, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 3
Differential characteristics and driving forces of the spatial distribution of heritage trees in Luoyang, an ancient capital of China
Heping Hou, Longchong Zhang, Huitao Bi, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 3
Uso das Geotecnologias na Estimativa de Biomassa e Carbono Florestal: Uma Revisão
José Douglas Monteiro da Costa, José Alberto Quintanilha
Revista Brasileira de Geografia Física (2024) Vol. 17, Iss. 2, pp. 1127-1146
Closed Access
Uncertainty Analysis of Forest Aboveground Carbon Stock Estimation Combining Sentinel-1 and Sentinel-2 Images
Bingsheng Qiu, Sha Li, Jun Cao, et al.
Forests (2024) Vol. 15, Iss. 12, pp. 2134-2134
Open Access
Estudio de la productividad y biomasa arriba del suelo, mediante el uso de índices de vegetación en plantaciones de Tectona grandis L. (Teca) ubicadas en Guanacaste, Costa Rica
Arleth Porras Granados, Dagoberto Arias‐Aguilar, Casia Soto Montoya, et al.
Revista Tecnología en Marcha (2022)
Open Access
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