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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:

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3172-3172
Open Access | Times Cited: 21

Showing 21 citing articles:

UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia
Aisyah Marliza Muhmad Kamarulzaman, Wan Shafrina Wan Mohd Jaafar, Mohd Nizam Mohd Said, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2845-2845
Open Access | Times Cited: 39
High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data
Cesar Alvites, Hannah O’Sullivan, Saverio Francini, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1281-1281
Open Access | Times Cited: 8
Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests
Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Ibrahim Fayad
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1522-1522
Open Access | Times Cited: 21
Spatial estimation of soil organic carbon, total nitrogen, and soil water storage in reclaimed post-mining site based on remote sensing data
Amisalu Milkias Misebo, Paweł Hawryło, Marta Szostak, et al.
Ecological Indicators (2024) Vol. 166, pp. 112228-112228
Open Access | Times Cited: 5
Environmental drivers of spatial variation in tropical forest canopy height: Insights from NASA’s GEDI spaceborne LiDAR
Shaoqing Liu, Ovidiu Csillik, Elsa M. Ordway, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 10
Open Access
Estimating canopy height in tropical forests: Integrating airborne LiDAR and multi-spectral optical data with machine learning
Brianna J. Pickstone, Hugh A. Graham, Andrew M. Cunliffe
Sustainable Environment (2025) Vol. 11, Iss. 1
Open Access
Attention-Based Semantic Segmentation Networks for Forest Applications
See Ven Lim, Mohd Asyraf Zulkifley, Azlan Saleh, et al.
Forests (2023) Vol. 14, Iss. 12, pp. 2437-2437
Open Access | Times Cited: 9
Use of GEDI Signal and Environmental Parameters to Improve Canopy Height Estimation over Tropical Forest Ecosystems in Mayotte Island
Kamel Lahssini, Nicolas Baghdadi, Guerric Le Maire, et al.
Canadian Journal of Remote Sensing (2024) Vol. 50, Iss. 1
Open Access | Times Cited: 3
Mangrove-Based Carbon Market Projects: 15 Considerations for Engaging and Supporting Local Communities
Daria Agnieszka Karpowicz, Midhun Mohan, Michael S. Watt, et al.
Diversity (2024) Vol. 16, Iss. 9, pp. 574-574
Open Access | Times Cited: 2
Modeling Carbon Emissions of Post-Selective Logging in the Production Forests of Ulu Jelai, Pahang, Malaysia
Siti Nor Maizah Saad, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1016-1016
Open Access | Times Cited: 5
Improved GEDI Canopy Height Extraction Based on a Simulated Ground Echo in Topographically Undulating Areas
Hailong Tang, Huabing Huang, Yang Zheng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 5
Application of Random Forest Method Based on Sensitivity Parameter Analysis in Height Inversion in Changbai Mountain Forest Area
Xiaoyan Wang, Ruirui Wang, Shi Wei, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1161-1161
Open Access | Times Cited: 1
Divergent responses of forest canopy height to environmental conditions across China
Xiang Pan, Junjie Ji, Kuang‐Hong Gao, et al.
Ecological Indicators (2024) Vol. 168, pp. 112763-112763
Open Access | Times Cited: 1
Canopy Height Mapper: a Google Earth Engine application for predicting global canopy heights combining GEDI with multi-source data.
Cesar Alvites, Hannah O’Sullivan, Saverio Francini, et al.
Environmental Modelling & Software (2024) Vol. 183, pp. 106268-106268
Open Access | Times Cited: 1
Cross-modal fusion approach with Multispectral, LiDAR, and SAR data for Forest Canopy Height Mapping in Mountainous Region
Petar Donev, Hong Wang, Shuhong Qin, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103819-103819
Closed Access | Times Cited: 1
Deep Learning Approach for Studying Forest Types in Restored Karst Rocky Landscapes: A Case Study of Huajiang, China
Jiaxue Wan, Zhongfa Zhou, Meng Zhu, et al.
Forests (2024) Vol. 15, Iss. 12, pp. 2122-2122
Open Access
Monsoonal climate and asymmetric heating facilitate the slope-aspect to influence landscape-scale tree structure in the Western Ghats, India
Devi Maheshwori, Shreyas Managave, Girish Jathar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Fine‐scale variation in the medium and large‐sized mammal assemblage composition in northeastern Amazon: Drivers of β‐diversity and species interactions
Fernanda Colares Brandão, William Douglas de Carvalho, Herbert O. B. Duarte, et al.
Ecological Research (2024)
Open Access
Exploring Forest Vertical Structure with TomoSense: GEDI and SAR Tomography Insights
Yen-Nhi Ngo, Dinh Ho Tong Minh, Nicolas Baghdadi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 63, pp. 1-12
Closed Access
Canopy-Height and Stand-Age Estimation in Northeast China at Sub-Compartment Level Using Multi-Resource Remote Sensing Data
Xuebing Guan, Xiguang Yang, Ying Yu, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3738-3738
Open Access | Times Cited: 1
Assessing the potential of machine learning and integrated satellite data for canopy height mapping: a case study on the Iberian Peninsula
Gonzalo Otón, Samuele Capobianco, Marco Girardello, et al.
(2023), pp. 18-18
Closed Access | Times Cited: 1
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