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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:

Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning
Maryam Pourshamsi, Junshi Xia, Naoto Yokoya, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 172, pp. 79-94
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 178, pp. 112-123
Closed Access | Times Cited: 138
Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a review
Khushbu Maurya, Seema Mahajan, Nilima Rani Chaube
Complex & Intelligent Systems (2021) Vol. 7, Iss. 6, pp. 2797-2818
Open Access | Times Cited: 136
Reworking the political in digital forests: The cosmopolitics of socio-technical worlds
Jennifer Gabrys, Michelle Westerlaken, Danilo Urzedo, et al.
Progress in Environmental Geography (2022) Vol. 1, Iss. 1-4, pp. 58-83
Open Access | Times Cited: 75
Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm
Jingjing Cao, Kai Liu, Li Zhuo, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102414-102414
Open Access | Times Cited: 67
Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel
Camile Sothe, Alemu Gonsamo, Ricardo Barros Lourenço, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5158-5158
Open Access | Times Cited: 45
Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
Qingwei Zhuang, Zhenfeng Shao, Jianya Gong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103058-103058
Open Access | Times Cited: 45
Polarimetric Imaging via Deep Learning: A Review
Xiaobo Li, Lei Yan, Pengfei Qi, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1540-1540
Open Access | Times Cited: 36
Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
Biao Zhang, Zhichao Wang, Tiantian Ma, et al.
Ecological Informatics (2025), pp. 103045-103045
Open Access | Times Cited: 1
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: 37
Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models
Rajit Gupta, Laxmi Kant Sharma
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100817-100817
Closed Access | Times Cited: 29
Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests
Alba Viana‐Soto, Mariano Garcı́a, Inmaculada Aguado, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102754-102754
Open Access | Times Cited: 28
Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging
Asmaa Abdelbaki, Martin Schlerf, Rebecca Retzlaff, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1748-1748
Open Access | Times Cited: 40
Integrating remote sensing and machine learning into environmental monitoring and assessment of land use change
Hong Anh Thi Nguyen, Tip Sophea, Shabbir H. Gheewala, et al.
Sustainable Production and Consumption (2021) Vol. 27, pp. 1239-1254
Closed Access | Times Cited: 34
Spatio-Temporal Changes of Vegetation Cover and Its Influencing Factors in Northeast China from 2000 to 2021
Maolin Li, Qingwu Yan, Guie Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5720-5720
Open Access | Times Cited: 24
Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe
Manuela Hirschmugl, Carina Sobe, Alfredo Di Filippo, et al.
Environmental Modeling & Assessment (2023) Vol. 28, Iss. 5, pp. 761-785
Open Access | Times Cited: 15
Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods
Liwei Deng, Bolin Fu, Yan Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103588-103588
Open Access | Times Cited: 14
Monitoring Canopy Height in the Hainan Tropical Rainforest Using Machine Learning and Multi-Modal Data Fusion
Qingping Ling, Y. S. Chen, Zhongke Feng, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 966-966
Open Access
Semantically aware tree height estimator for infrastructure monitoring using multimodal satellite images
Meruyert Kenzhebay, Abdul Hanan, Mehak Khan, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
Deep support vector machine for PolSAR image classification
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 17, pp. 6498-6536
Open Access | Times Cited: 28
Retrieval of forest canopy height in a mountainous region with ICESat-2 ATLAS
Shiyun Pang, Guiying Li, Xiandie Jiang, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100046-100046
Open Access | Times Cited: 21
Mapping of Temporally Dynamic Tropical Forest and Plantations Canopy Height in Borneo Utilizing TanDEM-X InSAR and Multi-sensor Remote Sensing Data
Stanley Anak Suab, Hitesh Supe, Albertus S. Louw, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access | Times Cited: 4
Performance of XGBoost Ensemble Learning Algorithm for Mangrove Species Classification with Multi-Source Spaceborne Remote Sensing Data
Jianing Zhen, Dehua Mao, Zhen Shen, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 4
Estimation of above-ground biomass using machine learning approaches with InSAR and LiDAR data in tropical peat swamp forest of Brunei Darussalam
Elaheh Zadbagher, AM Marangoz, Kazimierz Bęcek
iForest - Biogeosciences and Forestry (2024) Vol. 17, Iss. 3, pp. 172-179
Open Access | Times Cited: 4
The Importance of Ground-Truthing in Local Biomass Models for REDD+ – a Case Study in the Chiloe Island, Chile
Víctor Volke Haller, Luke Sanford, Timothy G. Grégoire
(2025)
Closed Access
Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery
Xiaodi Xu, Ya Zhang, Peng Fu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104348-104348
Open Access
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