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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:

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
Linjing Zhang, Zhenfeng Shao, Jianchen Liu, et al.
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1459-1459
Open Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 24-49
Open Access | Times Cited: 1128
High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
Wang Li, Zheng Niu, Rong Shang, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102163-102163
Open Access | Times Cited: 222
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1357-1357
Open Access | Times Cited: 218
Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
Zhenfeng Shao, Neema Simon Sumari, Aleksei Portnov, et al.
Geo-spatial Information Science (2020) Vol. 24, Iss. 2, pp. 241-255
Open Access | Times Cited: 206
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 172-200
Open Access | Times Cited: 88
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Stefan Oehmcke, Lei Li, Katerina Trepekli, et al.
Remote Sensing of Environment (2024) Vol. 302, pp. 113968-113968
Open Access | Times Cited: 28
Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery
Xiaoli Zhang, Hanwen Shen, Tian‐Bao Huang, et al.
Ecological Indicators (2024) Vol. 159, pp. 111752-111752
Open Access | Times Cited: 26
Remote estimation of rice LAI based on Fourier spectrum texture from UAV image
Bo Duan, Yating Liu, Yan Gong, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 92
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning
Yun Chen, Juan Pablo Guerschman, Yuri Shendryk, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 603-603
Open Access | Times Cited: 78
Assessing of Urban Vegetation Biomass in Combination with LiDAR and High-resolution Remote Sensing Images
Ya Zhang, Zhenfeng Shao
International Journal of Remote Sensing (2020) Vol. 42, Iss. 3, pp. 964-985
Closed Access | Times Cited: 73
Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review
Omosalewa Odebiri, John Odindi, Onisimo Mutanga
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102389-102389
Open Access | Times Cited: 61
Spatio-temporal-spectral observation model for urban remote sensing
Zhenfeng Shao, Wenfu Wu, Deren Li
Geo-spatial Information Science (2021) Vol. 24, Iss. 3, pp. 372-386
Open Access | Times Cited: 58
Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data
Omosalewa Odebiri, Onisimo Mutanga, John Odindi
Geoderma (2022) Vol. 411, pp. 115695-115695
Closed Access | Times Cited: 55
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Alireza Hamedianfar, Cheikh Mohamedou, Annika Kangas, et al.
Forestry An International Journal of Forest Research (2022) Vol. 95, Iss. 4, pp. 451-465
Open Access | Times Cited: 42
Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China
Zijin Bai, Songchao Chen, Yongsheng Hong, et al.
Geoderma (2023) Vol. 437, pp. 116589-116589
Open Access | Times Cited: 24
A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China
Yu Wang, Songchao Chen, Yongsheng Hong, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108067-108067
Closed Access | Times Cited: 24
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
Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives
T. J. Wang, Yiping Zuo, Teja Manda, et al.
Plants (2025) Vol. 14, Iss. 7, pp. 998-998
Open Access | Times Cited: 1
Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2
Luofan Dong, Huaqiang Du, Ning Han, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 958-958
Open Access | Times Cited: 66
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
Yang Hu, Xuelei Xu, Fayun Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 186-186
Open Access | Times Cited: 63
Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling
Dezhi Wang, Bo Wan, Penghua Qiu, et al.
Remote Sensing (2019) Vol. 11, Iss. 18, pp. 2156-2156
Open Access | Times Cited: 62
Applications of UAS in Crop Biomass Monitoring: A Review
Tianhai Wang, Yadong Liu, Minghui Wang, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 44
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model
Sujit Madhab Ghosh, Mukunda Dev Behera
Computers & Geosciences (2021) Vol. 150, pp. 104737-104737
Closed Access | Times Cited: 43
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
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
Qiuli Yang, Yanjun Su, Tianyu Hu, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100059-100059
Open Access | Times Cited: 34
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