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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:

Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference
Qi Chen, Ronald E. McRoberts, Changwei Wang, et al.
Remote Sensing of Environment (2016) Vol. 184, pp. 350-360
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data
Yongze Song, Jinfeng Wang, Yong Ge, et al.
GIScience & Remote Sensing (2020) Vol. 57, Iss. 5, pp. 593-610
Open Access | Times Cited: 700
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping
Carlos Alberto Silva, Laura Duncanson, Steven Hancock, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112234-112234
Open Access | Times Cited: 165
Quantitative analysis of fractional vegetation cover in southern Sichuan urban agglomeration using optimal parameter geographic detector model, China
Xiaoyan Zhao, Shucheng Tan, Yongping Li, et al.
Ecological Indicators (2024) Vol. 158, pp. 111529-111529
Open Access | Times Cited: 25
Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data
Panpan Zhao, Dengsheng Lu, Guangxing Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2016) Vol. 53, pp. 1-15
Closed Access | Times Cited: 130
Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China
Huabing Huang, Caixia Liu, Xiaoyi Wang, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 225-234
Closed Access | Times Cited: 107
Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data
Jéssica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1944-1944
Open Access | Times Cited: 86
Detecting vulnerability of humid tropical forests to multiple stressors
Sassan Saatchi, Marcos Longo, Liang Xu, et al.
One Earth (2021) Vol. 4, Iss. 7, pp. 988-1003
Open Access | Times Cited: 65
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests
Juan Guerra-Hernández, Lana L. Narine, Adrián Pascual, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1509-1533
Open Access | Times Cited: 43
Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale mapping of canopy height
Ibrahim Fayad, Philippe Ciais, Martin A. Schwartz, et al.
Remote Sensing of Environment (2023) Vol. 302, pp. 113945-113945
Open Access | Times Cited: 34
Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery
Shufan Wang, Chun Liu, Weiyue Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103431-103431
Open Access | Times Cited: 26
Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 9
Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states
Nikolai Knapp, Rico Fischer, Andreas Huth
Remote Sensing of Environment (2017) Vol. 205, pp. 199-209
Open Access | Times Cited: 86
Spatial Distribution of Carbon Stored in Forests of the Democratic Republic of Congo
Liang Xu, Sassan Saatchi, Aurélie Shapiro, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 73
A Review of Regional and Global Gridded Forest Biomass Datasets
Yuzhen Zhang, Shunlin Liang, Lu Yang
Remote Sensing (2019) Vol. 11, Iss. 23, pp. 2744-2744
Open Access | Times Cited: 60
Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China
Haoshuang Han, Rongrong Wan, Bing Li
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 176-176
Open Access | Times Cited: 42
How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors?
Ronald E. McRoberts, Erik Næsset, Zhengyang Hou, et al.
Remote Sensing of Environment (2023) Vol. 288, pp. 113455-113455
Closed Access | Times Cited: 17
Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory
Eric L. Bullock, Sean P. Healey, Zhiqiang Yang, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 8, pp. 085001-085001
Open Access | Times Cited: 17
sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories
Tristan R.H. Goodbody, Nicholas C. Coops, Martin Queinnec, et al.
Forestry An International Journal of Forest Research (2023) Vol. 96, Iss. 4, pp. 411-424
Open Access | Times Cited: 16
Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison
Guanglong Ou, Chao Li, Yanyu Lv, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 738-738
Open Access | Times Cited: 50
Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications
Ronald E. McRoberts, Erik Næsset, Terje Gobakken, et al.
Canadian Journal of Forest Research (2018) Vol. 48, Iss. 6, pp. 642-649
Closed Access | Times Cited: 48
Quantifying vertical profiles of biochemical traits for forest plantation species using advanced remote sensing approaches
Xin Shen, Lin Cao, Nicholas C. Coops, et al.
Remote Sensing of Environment (2020) Vol. 250, pp. 112041-112041
Closed Access | Times Cited: 45
Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery
Yinghui Zhao, Ye Ma, Lindi J. Quackenbush, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 271-271
Open Access | Times Cited: 27
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data
Yuting Zhao, Jungho Im, Zhen Zhen, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 16
Revealing the Driving Mechanisms of Land Surface Temperature Spatial Heterogeneity and Its Sensitive Regions in China Based on GeoDetector
Yanru Yu, Shibo Fang, Zhuo Wen
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2814-2814
Open Access | Times Cited: 16
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China
Yangguang Li, Ning Han, Xuejian Li, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 898-898
Open Access | Times Cited: 44
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