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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:

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

Showing 14 citing articles:

Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics
Szilárd Szabó, I. J. Holb, Vanda Éva Molnár, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111468-111468
Open Access | Times Cited: 10
Linking Flood Risk Mitigation and Food Security: An Analysis of Land-Use Change in the Metropolitan Area of Rome
Davide Marino, Margherita Palmieri, Angelo Marucci, et al.
Land (2023) Vol. 12, Iss. 2, pp. 366-366
Open Access | Times Cited: 20
Smaller is better? Unduly nice accuracy assessments in roof detection using remote sensing data with machine learning and k-fold cross-validation
Dávid Abriha, Prashant K. Srivastava, Szilárd Szabó
Heliyon (2023) Vol. 9, Iss. 3, pp. e14045-e14045
Open Access | Times Cited: 18
The Accuracy of Land Use and Cover Mapping across Time in Environmental Disaster Zones: The Case of the B1 Tailings Dam Rupture in Brumadinho, Brazil
Carlos Roberto Mangussi Filho, Renato Farias do Valle, Maytê Maria Abreu Pires de Melo Silva, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6949-6949
Open Access | Times Cited: 17
A Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing
Marko Pavlović, Slobodan Ilić, Neobojša Ralevic, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 655-655
Open Access | Times Cited: 7
Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches
Morad Mirzaei, Manouchehr Gorji Anari, Eugenio Díaz‐Pinés, et al.
Journal of Arid Environments (2023) Vol. 211, pp. 104947-104947
Open Access | Times Cited: 11
Perfect Labelling: A Review and Outlook of Label Optimization Techniques in Dynamic Earth Observation
Sarah Hauser, Lena Augner, Andreas Schmitt
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1246-1246
Open Access
Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency
Kwanele Phinzi, Szilárd Szabó
Natural Hazards (2024) Vol. 120, Iss. 8, pp. 7211-7244
Open Access | Times Cited: 3
Assessing Microplastic Pollution in a River Basin: A Multidisciplinary Study on Circularity, Sustainability, and Socio-Economic impacts
Ülkü Nіhan Tavşanoğlu, İdris Koraltan, Gökben Başaran Kankılıç, et al.
Environmental Research (2024) Vol. 262, pp. 119819-119819
Closed Access | Times Cited: 3
Tree-related microhabitats are similar in mountain forests of Europe and North America and their occurrence may be explained by tree functional groups
Thomas Asbeck, Marco Basile, Jessica M. Stitt, et al.
Trees (2020) Vol. 34, Iss. 6, pp. 1453-1466
Open Access | Times Cited: 13
Geological Information Extraction from Satellite Imagery Using Machine Learning
Anupam Yadav, Shipra Saraswat, Neetu Faujdar
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-5
Closed Access | Times Cited: 8
An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions
Sadiq Al-Maliki, Taha I. M. Ibrahim, Gusztáv Jakab, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1523-1523
Open Access | Times Cited: 6
Aquatic vegetation mapping with UAS-cameras considering phenotypes
Loránd Szabó, László Bertalan, Gergely Szabó, et al.
Ecological Informatics (2024) Vol. 81, pp. 102624-102624
Open Access
Salt Land classification based on pansharpening images using Random Forest algorithm
Diastarini Diastarini, Riantini Virtriana, Agung Budi Harto
Journal of Spatial Science (2023) Vol. 69, Iss. 2, pp. 621-647
Closed Access
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