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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:

Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics
András Gudmann, Nándor Csikós, Péter Szilassi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3580-3580
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine
James Magidi, Luxon Nhamo, Sylvester Mpandeli, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 876-876
Open Access | Times Cited: 123
Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping
Anca Dabija, Marcin Kluczek, Bogdan Zagajewski, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 777-777
Open Access | Times Cited: 71
Land Use and Land Cover Mapping with VHR and Multi-Temporal Sentinel-2 Imagery
Suzanna Cuypers, Andrea Nascetti, Maarten Vergauwen
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2501-2501
Open Access | Times Cited: 21
Assessing the impact of anthropogenic activities on land use and land cover changes in the semi-arid and arid regions of Algeria
Ghefar Mohammed, Boutkhil Morsli, Bouazzaoui Ayoub
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 4
Closed Access | Times Cited: 8
From Land Cover Map to Land Use Map: A Combined Pixel-Based and Object-Based Approach Using Multi-Temporal Landsat Data, a Random Forest Classifier, and Decision Rules
Dang Hung Bui, László Mucsi
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1700-1700
Open Access | Times Cited: 26
A multi-spectral image-based high-level classification based on a modified SVM with enhanced PCA and hybrid metaheuristic algorithm
Ramalingam Sugumar, D. Suganya
Remote Sensing Applications Society and Environment (2023) Vol. 31, pp. 100984-100984
Closed Access | Times Cited: 10
An integrated object-based sampling approach for validating non-contiguous forest cover maps in fragmented tropical landscapes
Chima Iheaturu, Vladimir Wingate, Felicia O. Akinyemi, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104497-104497
Closed Access
Exploring new mangrove horizons: A scalable remote sensing approach with Planet-NICFI and Sentinel-2 images
Adam Irwansyah Fauzi, Markus Immitzer, Clement Atzberger
Ecological Informatics (2025), pp. 103152-103152
Open Access
Elaborating Hungarian Segment of the Global Map of Salt-Affected Soils (GSSmap): National Contribution to an International Initiative
Gábor Szatmári, Zsófia Bakacsi, Annamária Laborczi, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4073-4073
Open Access | Times Cited: 24
Monitoring Land Use/Cover Change Using Remotely Sensed Data in Guangzhou of China
Liang Guo, Xiaohuan Xi, Weijun Yang, et al.
Sustainability (2021) Vol. 13, Iss. 5, pp. 2944-2944
Open Access | Times Cited: 23
Comparison of Layer-stacking and Dempster-Shafer Theory-based Methods Using Sentinel-1 and Sentinel-2 Data Fusion in Urban Land Cover Mapping
Dang Hung Bui, László Mucsi
Geo-spatial Information Science (2022) Vol. 25, Iss. 3, pp. 425-438
Open Access | Times Cited: 15
Declining land for subsistence and small-scale farming in South Africa: A case study of Thulamela local municipality
Zwidofhelangani Lidzhegu, Tabaro Kabanda
Land Use Policy (2022) Vol. 119, pp. 106170-106170
Open Access | Times Cited: 14
GOOGLE EARTH ENGINE FOR LANDSAT IMAGE PROCESSING AND ASSESSING LULC CLASSIFICATION IN SOUTHWESTERN CÔTE D’IVOIRE
Christian Jonathan Anoma Kouassi, Qian Chen, Dilawar Khan, et al.
Geodesy and Cartography (2023) Vol. 49, Iss. 1, pp. 37-50
Open Access | Times Cited: 6
Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning
Orsolya Varga, Zoltán Kovács, László Bekő, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 857-857
Open Access | Times Cited: 14
Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping
Mohammad Kazemi Garajeh, Zhenlong Li, Saber Hasanlu, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Land use and land cover classification from satellite images based on ensemble machine learning and crowdsourcing data verification
Supattra Puttinaovarat, Kanit Khaimook, Paramate Horkaew
International Journal of Cartography (2023), pp. 1-21
Closed Access | Times Cited: 5
Design of an optimized deep learning algorithm for automatic classification of high-resolution satellite dataset (LISS IV) for studying land-use patterns in a mining region
Ajay Kumar, Amit Kumar Gorai
Computers & Geosciences (2022) Vol. 170, pp. 105251-105251
Open Access | Times Cited: 9
Crop breeding for a changing climate in the Pannonian region: towards integration of modern phenotyping tools
Ankica Kondić‐Špika, Sanja Mikić, Milan Mirosavljević, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 15, pp. 5089-5110
Closed Access | Times Cited: 8
Integration of radar and optical sentinel images for land use mapping in a complex landscape (case study: Arasbaran Protected Area)
Vahid Nasiri, Arnaud Le Bris, Ali Asghar Darvishsefat, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 24
Closed Access | Times Cited: 7
Enhanced land use and land cover classification using modified CNN in Uppal Earth Region
P. Aruna Sri, V. Santhi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Land Cover Segmentation in Satellite Images Using Transfer Learning
K. Kalaivani, C. S. Kanimozhi Selvi, Mohamed Bilal Z H, et al.
(2024), pp. 714-724
Closed Access | Times Cited: 1
An Open-Pit Mines Land Use Classification Method Based on Random Forest Using UAV: A Case Study of a Ceramic Clay Mine
Yuanrong He, Yangfeng Lai, Bingning Chen, et al.
Minerals (2024) Vol. 14, Iss. 12, pp. 1282-1282
Open Access | Times Cited: 1
Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia
Marlena Kycko, Bogdan Zagajewski, Marcin Kluczek, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5531-5531
Open Access | Times Cited: 6
Wildlife habitat mapping using Sentinel-2 imagery of Mehao Wildlife Sanctuary, Arunachal Pradesh, India
Arif Ahmad, Rajapandian Kanagaraj, Govindan Veeraswami Gopi
Heliyon (2023) Vol. 9, Iss. 3, pp. e13799-e13799
Open Access | Times Cited: 3
Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier
András Gudmann, László Mucsi
Geographica Pannonica (2022) Vol. 26, Iss. 3, pp. 165-175
Open Access | Times Cited: 5
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