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:

A NEW APPROACH FOR MAPPING LAND USE / LAND COVER USING GOOGLE EARTH ENGINE: A COMPARISON OF COMPOSITION IMAGES
E. M. Sellami, H. Rhinane
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W6-2022, pp. 343-349
Open Access | Times Cited: 12

Showing 12 citing articles:

Google Earth Engine-based mapping of land use and land cover for weather forecast models using Landsat 8 imagery
Mohammad Ganjirad, Hossein Bagheri
Ecological Informatics (2024) Vol. 80, pp. 102498-102498
Open Access | Times Cited: 18

Machine Learning Algorithms for Satellite Image Classification Using Google Earth Engine and Landsat Satellite Data: Morocco Case Study
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
IEEE Access (2023) Vol. 11, pp. 71127-71142
Open Access | Times Cited: 25

Upscaling methane fluxes from peatlands across a drainage gradient in Ireland using PlanetScope imagery and machine learning tools
Ruchita Ingle, Wahaj Habib, John Connolly, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

Supervised Machine Learning Algorithms for Land Cover Classification in Casablanca, Morocco
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 1, pp. 377-387
Open Access | Times Cited: 3

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Anam Nigar, Yang Li, Muhammad Yousuf Jat Baloch, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3

Influence of Image Compositing and Multisource Data Fusion on Multitemporal Land Cover Mapping of Two Philippine Watersheds
Nico R. Almarines, Shizuka Hashimoto, Juan M. Pulhin, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2167-2167
Open Access | Times Cited: 3

Provision of land use and forest density maps in semi-arid areas of Iran using Sentinel-2 satellite images and vegetation indices
Saeedeh Eskandari, Seyed Kazem Bordbar
Advances in Space Research (2024)
Closed Access | Times Cited: 2

Comparison of Machine Learning Methods for Satellite Image Classification: A Case Study of Casablanca Using Landsat Imagery and Google Earth Engine
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
Journal of Environmental & Earth Sciences (2023) Vol. 5, Iss. 2, pp. 118-134
Open Access | Times Cited: 5

A Survey of Changes in Grasslands within the Tonle Sap Lake Landscape from 2004 to 2023
Monysocheata Chea, Benjamin T. Fraser, Sonsak Nay, et al.
Diversity (2024) Vol. 16, Iss. 8, pp. 448-448
Open Access

Land-use/cover change and future prediction by integrating the ML techniques of random forest and CA-Markov chain model of the Ganges alluvial tract of Eastern India
Kailash Chandra Roy, David Durjoy Lal Soren, Brototi Biswas
Environment Development and Sustainability (2024)
Closed Access

Land cover mapping using Landsat 8 data and supervised learning classifiers in Casablanca region, Morocco
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
(2023), pp. 12-17
Closed Access | Times Cited: 1

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