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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:

Automated Mapping of Wetland Ecosystems: A Study Using Google Earth Engine and Machine Learning for Lotus Mapping in Central Vietnam
Pham Huu Ty, Nguyen Hao Quang, Khac-Phuc Le, et al.
Water (2023) Vol. 15, Iss. 5, pp. 854-854
Open Access | Times Cited: 15

Showing 15 citing articles:

Regional scale terrace mapping in fragmented mountainous areas using multi-source remote sensing data and sample purification strategy
Zicheng Liu, Guokun Chen, Bo‐Hui Tang, et al.
The Science of The Total Environment (2024) Vol. 925, pp. 171366-171366
Closed Access | Times Cited: 6
Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review
S Vijayakumar, R Saravanakumar, Mariadoss Arulanandam, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 4
Closed Access | Times Cited: 5
Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC
Mingxing Zhou, Guiying Li, Dengsheng Lu, et al.
Geo-spatial Information Science (2025), pp. 1-18
Open Access
Comparison of Artificial Intelligence Algorithms and Remote Sensing for Modeling Pine Bark Beetle Susceptibility in Honduras
Omar Orellana, Marco Antonio Sandoval Estrada, Erick Zagal, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 912-912
Open Access
Estimation of carbon stock in the reed wetland of Weishan county in China based on Sentinel satellite series
Yiming Lu, Jie Chen, Guoping Gao, et al.
Carbon Research (2025) Vol. 4, Iss. 1
Open Access
Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach
Abdullah Al Saim, Mohamed H. Aly
Journal of Geovisualization and Spatial Analysis (2025) Vol. 9, Iss. 1
Open Access
Mapping small inland wetlands in the South-Kivu province by integrating optical and SAR data with statistical models for accurate distribution assessment
Géant Basimine Chuma, Mushagalusa Nachigera Gustave, Serge Schmitz
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Machine Learning-Based Classification of Small-Sized Wetlands Using Sentinel-2 Images
Eric Ariel L. Salas, Sakthi Subburayalu Kumaran, Robert S. Bennett, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 1, pp. 62-79
Open Access | Times Cited: 2
EFFECT OF PLANTING LOTUSES ON THE COMMUNITY STRUCTURE OF PLANKTONIC EUKARYOTES IN A SHALLOW POND OF A SUBTROPICAL URBAN PARK IN CHINA
Xuemei Li, W. WANG, Wanxue Liu, et al.
Applied Ecology and Environmental Research (2024) Vol. 22, Iss. 1, pp. 833-847
Open Access
Enhanced spatiotemporal fusion algorithm for long-term monitoring of intertidal zone topography
Jianchun Chen, Yan Gu, Ziyao Chen, et al.
Geo-Marine Letters (2024) Vol. 45, Iss. 1
Closed Access
Detection And Growth Estimation Of Indo–Pacific Eel (Anguilla marmorata Quoy & Gaimard, 1824) Using Machine Learning In Central Vietnam
Kiều Thị Huyền, Nam Thang Ha, Nguyễn Quang Linh
Journal Of Advanced Zoology (2024)
Open Access
A dataset of remote sensing classification for Beidagang wetlands in Tianjin from 2019 to 2022
Xinyue Zhang, Xingxing Han, Tiejun Wang, et al.
China Scientific Data (2024) Vol. 9, Iss. 3, pp. 1-14
Closed Access
Enhancing Tree Species Mapping in Arkansas' Forests through Machine Learning and Satellite Data Fusion: A Google Earth Engine-Based Approach
Abdullah Al Saim, Mohamed H. Aly
Research Square (Research Square) (2024)
Open Access
Detecting Wetlands within the Gomoa East District of Ghana through the Lenses of Sentinel-1 SAR Data Using Google Earth Engine for Ecosystem Conservation and Water Resource Management
Jeff Dacosta Osei
Journal of Environmental Impact and Management Policy (2023), Iss. 35, pp. 39-55
Open Access | Times Cited: 1
Approaches, potential, and challenges in the use of remote sensing to study mangrove and other tropical wetland forests
Diego Espíritu Chávez, Jorge López‐Portillo, J. Alberto Gallardo-Cruz, et al.
Botanical Sciences (2023) Vol. 102, Iss. 1, pp. 1-25
Open Access
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