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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:

Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine
Fernando Pech-May, Raúl Aquino-Santos, Germán Ríos-Toledo, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4729-4729
Open Access | Times Cited: 18

Showing 18 citing articles:

Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 25
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105788-105788
Closed Access | Times Cited: 15
Sentinel-1 SAR Images and Deep Learning for Water Body Mapping
Fernando Pech-May, Raúl Aquino-Santos, Jorge Delgadillo-Partida
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3009-3009
Open Access | Times Cited: 13
Vegetation Type Mapping in Southern Patagonia and Its Relationship with Ecosystem Services, Soil Carbon Stock, and Biodiversity
Pablo Luís Peri, Juan Gaitán, Boris Díaz, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2025-2025
Open Access | Times Cited: 4
Segmentation and Visualization of Flooded Areas Through Sentinel-1 Images and U-Net
Fernando Pech May, Raúl Aquino-Santos, Omar Álvarez Cárdenas, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8996-9008
Open Access | Times Cited: 4
Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery
André Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 65-65
Open Access
Analysis of Temporal and Spatial Changes in Ecological Environment Quality on Changxing Island Using an Optimized Remote Sensing Ecological Index
Y Zhu, Yingzi Hou, Fangxiong Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1791-1791
Open Access
Change Detection Using Machine Learning Algorithms in Google Earth Engine Environment Bharatpur District of the Rajasthan State
Gaurav Sharma, Manoj Kumar Sharma
Communications in computer and information science (2025), pp. 385-399
Closed Access
Analysis of past and future urban growth on a regional scale using remote sensing and machine learning
Andressa Garcia Fontana, Víctor Fernandez Nascimento, Jean Pierre Ometto, et al.
Frontiers in Remote Sensing (2023) Vol. 4
Open Access | Times Cited: 9
Multi-Temporal Passive and Active Remote Sensing for Agricultural Mapping and Acreage Estimation in Context of Small Farm Holds in Ethiopia
Tesfamariam Engida Mengesha, Lulseged Tamene, Paolo Gamba, et al.
Land (2024) Vol. 13, Iss. 3, pp. 335-335
Open Access | Times Cited: 3
Determining the critical recruitment needs for the declining population of Olea europaea subsp. africana (Mill.) P.S. Green in Free State, South Africa
Loyd Rodney Vukeya, Thabiso Michael Mokotjomela, Leslie W. Powrie, et al.
Ecology and Evolution (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 5
Land Cover Changes Detection Based on Object-Based Image Classification Using the Google Earth Engine
Pavan Puligadda, Suneetha Manne, Durga Ramdas Raja
Lecture notes in electrical engineering (2024), pp. 287-302
Closed Access | Times Cited: 1
Assessment of land use transition and crop intensification using geospatial technology in Bangladesh
Mst Irin Parvin, Md Anwarul Islam, Mst Farida Perveen, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 9, pp. 100660-100660
Open Access | Times Cited: 1
Crop Type Classification using Sentinel 2A-Derived Normalized Difference Red Edge Index (NDRE) and Machine Learning Approach
Bere Benjamin Bantchına, Kemal Sulhi Gündoğdu
Uludağ Üniversitesi Ziraat Fakültesi dergisi/Bursa uludağ üniversitesi ziraat fakültesi dergisi (2024) Vol. 38, Iss. 1, pp. 89-105
Open Access | Times Cited: 1
Optimizing agricultural land use: A GIS-based assessment of suitability in the Sana River Basin, Bosnia and Herzegovina
Luka Sablјić, Tin Lukić, Davorin Bajić, et al.
Open Geosciences (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches
Hind Raki, Juan González-Vergara, Yahya Aalaila, et al.
Communications in computer and information science (2022), pp. 31-44
Closed Access | Times Cited: 6
On the Identification of Agroforestry Application Areas Using Object-Oriented Programming
Κωνσταντίνος Ιωάννου
Agriculture (2023) Vol. 13, Iss. 1, pp. 164-164
Open Access | Times Cited: 2
Investigation of the applicability of the microwave image to complement the optical image for the preparation of a coastal configuration map
Md. Abdul Kader, A Z Md Zahedul Islam, Md. Sohel Parvez
Research in Agriculture Livestock and Fisheries (2024) Vol. 11, Iss. 1, pp. 47-51
Open Access
Assessment of Chlorophyll Content in Leaves of Crops and Orchards Based on SPAD, Multispectral, and Hyperspectral Techniques
Nadia Niaz, Salman Gulzar, Syed Jamil Hasan Kazmi, et al.
Ecological Questions (2023) Vol. 35, Iss. 2, pp. 1-21
Open Access | Times Cited: 1
Remote sensing identification of early planting information of rapeseed in mountainous areas
Xin Zhang, Lulu Dong, Wen Dong
American Journal of Geographical Research and Reviews (2023)
Open Access
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