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.

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Showing 7 citing articles:

Artificial Intelligence in Agricultural Mapping: A Review
Ramón Espinel, Gricelda Herrera-Franco, José Luis Rivadeneira García, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1071-1071
Open Access | Times Cited: 11

Boosting crop classification by hierarchically fusing satellite, rotational, and contextual data
Valentin Barrière, Martin Claverie, Maja Schneider, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114110-114110
Open Access | Times Cited: 9

Impact of Resampling and Interpolation Methods on the Quality of Digital Elevation Models
Luis Izquierdo Mesa, J. Benedito, Carolina Echavarría-Caballero, et al.
Lecture notes in mechanical engineering (2025), pp. 723-737
Closed Access

Deep Learning for Satellite Image Time-Series Analysis: A review
Lynn Miller, Charlotte Pelletier, Geoffrey I. Webb
IEEE Geoscience and Remote Sensing Magazine (2024) Vol. 12, Iss. 3, pp. 81-124
Open Access | Times Cited: 3

UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2
P. Kramarczyk, B. Hejmanowska
˜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-1/W3-2023, pp. 85-90
Open Access | Times Cited: 4

Spatially Explicit Active Learning for Crop-Type Mapping from Satellite Image Time Series
Beatrice Kaijage, Mariana Belgiu, W. Bijker
Sensors (2024) Vol. 24, Iss. 7, pp. 2108-2108
Open Access | Times Cited: 1

From Tradition to Transformation: Deep and Self-Supervised Learning Approaches for Remote Sensing in Agriculture and Environmental Change
Mateus Pinto da Silva, Santiago Correa, Mariana Albuquerque Reynaud Schaefer, et al.
(2024)
Closed Access

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