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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:

Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China
Guiying Li, Zhuli Xie, Xiandie Jiang, et al.
Remote Sensing (2019) Vol. 11, Iss. 19, pp. 2328-2328
Open Access | Times Cited: 32

Showing 1-25 of 32 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
Estimating the aboveground biomass of coniferous forest in Northeast China using spectral variables, land surface temperature and soil moisture
Fugen Jiang, Mykola Kutia, Kaisen Ma, et al.
The Science of The Total Environment (2021) Vol. 785, pp. 147335-147335
Closed Access | Times Cited: 68
Estimation of tree height and aboveground biomass of coniferous forests in North China using stereo ZY-3, multispectral Sentinel-2, and DEM data
Yueting Wang, Xiaoli Zhang, Zhengqi Guo
Ecological Indicators (2021) Vol. 126, pp. 107645-107645
Open Access | Times Cited: 65
Forest Height Mapping Using Feature Selection and Machine Learning by Integrating Multi-Source Satellite Data in Baoding City, North China
Nan Zhang, Mingjie Chen, Fan Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4434-4434
Open Access | Times Cited: 41
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: 14
Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm
Fugen Jiang, Feng Zhao, Kaisen Ma, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1535-1535
Open Access | Times Cited: 55
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
Parth Naik, Michele Dalponte, Lorenzo Bruzzone
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1282-1282
Open Access | Times Cited: 50
Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data
Xiandie Jiang, Guiying Li, Dengsheng Lu, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1101-1101
Open Access | Times Cited: 46
Recent advances in using Chinese Earth observation satellites for remote sensing of vegetation
Zhengyang Zhang, Lei Lu, Yuhe Zhao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 393-407
Open Access | Times Cited: 27
Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method
Xinyu Li, Hui Lin, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2740-2740
Open Access | Times Cited: 28
A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28
Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images
Fugen Jiang, Hua Sun, Erxue Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5734-5734
Open Access | Times Cited: 21
Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm
Xinyu Li, Zhaohua Liu, Hui Lin, et al.
Remote Sensing (2020) Vol. 12, Iss. 5, pp. 871-871
Open Access | Times Cited: 30
Mapping Forest Aboveground Biomass Using Multi-Source Remote Sensing Data Based on the XGBoost Algorithm
Dejun Wang, Yanqiu Xing, Anmin Fu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 347-347
Open Access
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China
Wenke Lin, Yagang Lu, Guiying Li, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 568-589
Open Access | Times Cited: 16
Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data
Xinyu Li, Jiangping Long, Meng Zhang, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3468-3468
Open Access | Times Cited: 20
Mapping Forest Stock Volume Based on Growth Characteristics of Crown Using Multi-Temporal Landsat 8 OLI and ZY-3 Stereo Images in Planted Eucalyptus Forest
Zhaohua Liu, Zilin Ye, Xiaodong Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5082-5082
Open Access | Times Cited: 13
Estimating Individual Tree Above-Ground Biomass of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos
Lingting Lei, Guoqi Chai, Yueting Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 504-504
Open Access | Times Cited: 11
Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries
Yueting Wang, Xiang Jia, Guoqi Chai, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 6
Combining Multisource Data and Machine Learning Approaches for Multiscale Estimation of Forest Biomass
Yifeng Hong, Jiaming Xu, Chunyan Wu, et al.
Forests (2023) Vol. 14, Iss. 11, pp. 2248-2248
Open Access | Times Cited: 6
Analyzing the Saturation of Growing Stem Volume Based on ZY-3 Stereo and Multispectral Images in Planted Coniferous Forest
Tingchen Zhang, Hui Lin, Jiangping Long, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 15, pp. 50-61
Open Access | Times Cited: 12
Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data
Sinan Bulut, Fatih Sivrikaya, Alkan Günlü
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 9
Closed Access | Times Cited: 8
China’s larch stock volume estimation using Sentinel-2 and LiDAR data
Tao Yu, Yong Pang, Xiaojun Liang, et al.
Geo-spatial Information Science (2022) Vol. 26, Iss. 3, pp. 392-405
Open Access | Times Cited: 7
Enhancing Forest Canopy Height Retrieval: Insights from Integrated GEDI and Landsat Data Analysis
Weidong Zhu, Fei Yang, Zhenge Qiu, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10434-10434
Open Access | Times Cited: 4
A remote sensing-guided forest inventory concept using multispectral 3D and height information from ZiYuan-3 satellite data
Adelheid Wallner, S. Friedrich, Emanuel Geier, et al.
Forestry An International Journal of Forest Research (2021) Vol. 95, Iss. 3, pp. 331-346
Open Access | Times Cited: 8
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