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:

Evaluating single and multi-date Landsat classifications of land-cover in a seasonally dry tropical forest
João Andrade, John Cunha, João Paulo Luz Silva, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 22, pp. 100515-100515
Open Access | Times Cited: 13

Showing 13 citing articles:

Geo-ecological impact assessment of severe cyclonic storm Amphan on Sundarban mangrove forest using geospatial technology
Manoranjan Mishra, Tamoghna Acharyya, Celso Augusto Guimarães Santos, et al.
Estuarine Coastal and Shelf Science (2021) Vol. 260, pp. 107486-107486
Closed Access | Times Cited: 59

Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers
Rodolpho Luiz Barros de Medeiros, João Andrade, Desirée M. Ramos, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2637-2637
Open Access | Times Cited: 30

A comparative methodological approach for argan forest classification using Landsat imagery
El Houcine El Moussaoui, Aicha Moumni, Saïd Khabba, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Open Access

Modeling salinized wasteland using remote sensing with the integration of decision tree and multiple validation approaches in Hetao irrigation district of China
Ya-Nan Sun, Xianyue Li, Haibin Shi, et al.
CATENA (2021) Vol. 209, pp. 105854-105854
Closed Access | Times Cited: 16

Clasificación de cobertura vegetal con resolución espacial de 10 metros en bosques del Caribe colombiano basado en misiones Sentinel 1 y 2
Jesús A. Anaya, Susana Rodríguez‐Buriticá, María Cecilia Londoño
Revista de Teledetección (2023), Iss. 61, pp. 29-41
Open Access | Times Cited: 3

Land use/land cover mapping using deep neural network and sentinel image dataset based on google earth engine in a heavily urbanized area, China
Shudan Chen, Fan Lei, Shengguang Dong, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16951-16972
Closed Access | Times Cited: 4

Land Cover Classification Using CNN and Semantic Segmentation: A Case of Study in Antioquia, Colombia
Juan Carlos Gonzalez-Velez, J. D. Martínez-Vargas, María C. Torres-Madroñero
Communications in computer and information science (2022), pp. 306-317
Closed Access | Times Cited: 3

SYNERGIZING LANDSAT-8 AND MODIS DATA FOR ENHANCED PADDY PHENOLOGY ASSESSMENT AND CROP FREQUENCY MAPPING: A FUSION OF PHENOLOGICAL INSIGHTS AND MACHINE LEARNING ALGORITHMS
Putri Laila KARTIKA NINGRUM, Bimo Adi Satrio Pratama, Sanjiwana Arjasakusuma
Geographia Technica (2024) Vol. 19, Iss. 1/2024, pp. 121-134
Open Access

REMOTE SENSING DATA APPLICATION TO MONITOR CARBON FARMING PRACTICES
Gustė Metrikaitytė Gudelė, Jūratė Sužiedelytė Visockienė
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-4/W9-2024, pp. 257-265
Open Access



Geographia Technica (2024) Vol. 19, Iss. 1/2024
Open Access

STEEP: a remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests
Ulisses Alencar Bezerra, John Cunha, Fernanda Falente, et al.
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 1

Steep: A Remotely-Sensed Energy Balance Model for Evapotranspiration Estimation in Seasonally Dry Tropical Forests
Ulisses Alencar Bezerra, John Cunha, Fernanda Valente, et al.
SSRN Electronic Journal (2022)
Open Access

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