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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:

A brief overview and perspective of using airborne Lidar data for forest biomass estimation
Dengsheng Lu, Xiandie Jiang
International Journal of Image and Data Fusion (2024) Vol. 15, Iss. 1, pp. 1-24
Closed Access | Times Cited: 11

Showing 11 citing articles:

Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions
Ruoqi Wang, Yagang Lu, Dengsheng Lu, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 7
Improving Forest Canopy Height Mapping in Wuyishan National Park Through Calibration of ZiYuan-3 Stereo Imagery Using Limited Unmanned Aerial Vehicle LiDAR Data
Jian Kai, Dengsheng Lu, Yagang Lu, et al.
Forests (2025) Vol. 16, Iss. 1, pp. 125-125
Open Access
Modeling Forest Carbon Stock Based on Sample Plots and UAV Lidar Data from Multiple Sites and Examining Its Vertical Characteristics in Wuyishan National Park
Jian Kai, Dengsheng Lu, Guiying Li
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 377-377
Open Access
Enhancing aboveground biomass estimation in Moso bamboo forests: the role of on-year and off-year phenomena in remote sensing
Nan Li, Mianda Hu, Jingyi Xie, et al.
Frontiers in Forests and Global Change (2025) Vol. 8
Open Access
Integration of UAS and Backpack-LiDAR to Estimate Aboveground Biomass of Picea crassifolia Forest in Eastern Qinghai, China
Jauhar Ali, Long Chen, Bin Liao, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 681-681
Open Access
The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests
Yiru Zhang, Binbin He, Rui Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
Integration of Handheld and Airborne Lidar Data for Dicranopteris Dichotoma Biomass Estimation in a Subtropical Region of Fujian Province, China
Xiaoxue Li, Juan Wu, Shunfa Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2088-2088
Open Access | Times Cited: 1
Examining the Impact of Topography and Vegetation on Existing Forest Canopy Height Products from ICESat-2 ATLAS/GEDI Data
Yisa Li, Dengsheng Lu, Yagang Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3650-3650
Open Access
Mapping Forest Carbon Stock Distribution in a Subtropical Region with the Integration of Airborne Lidar and Sentinel-2 Data
Xiaoyu Sun, Guiying Li, Qinquan Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3847-3847
Open Access
Forest Biomass Estimation Using Deep Learning Data Fusion of Lidar, Multispectral, and Topographic Data Remote Sensing of Environment
Harry S. Seely, Nicholas C. Coops, Joanne C. White, et al.
(2024)
Closed Access
Retrieval of Chinese fir tree parameters under different understory conditions with the integration of handheld and airborne Lidar data
Yunhe Li, Guiying Li, Si‐Rong Wang, et al.
Geo-spatial Information Science (2024), pp. 1-22
Open Access
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