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:

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series
Hugo do Nascimento Bendini, Leila María García Fonseca, Marcel Schwieder, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 82, pp. 101872-101872
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 259

Mapping temperate forest tree species using dense Sentinel-2 time series
Jan Hemmerling, Dirk Pflugmacher, Patrick Hostert
Remote Sensing of Environment (2021) Vol. 267, pp. 112743-112743
Closed Access | Times Cited: 141

Examining rice distribution and cropping intensity in a mixed single- and double-cropping region in South China using all available Sentinel 1/2 images
Yingli He, Jinwei Dong, Xiaoyong Liao, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102351-102351
Open Access | Times Cited: 87

Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
Kowsalya Thiagarajan, M. Anandan, Andrzej Stateczny, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4351-4351
Open Access | Times Cited: 67

SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification
Yuan Yuan, Lei Lin, Qingshan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 106, pp. 102651-102651
Open Access | Times Cited: 61

Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Esther Shupel Ibrahim, Philippe Rufin, Leon Nill, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3523-3523
Open Access | Times Cited: 60

A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
Baili Chen, Hongwei Zheng, Lili Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102762-102762
Open Access | Times Cited: 40

Applications, Challenges and Perspectives for Monitoring Agricultural Dynamics in the Brazilian Savanna with Multispectral Remote Sensing
Taya Cristo Parreiras, Édson Luís Bolfe, Paulo Roberto Mendes Pereira, et al.
Remote Sensing Applications Society and Environment (2025) Vol. 37, pp. 101448-101448
Open Access | Times Cited: 1

Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products
Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Lúbia Vinhas, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4033-4033
Open Access | Times Cited: 64

Phenology-based sample generation for supervised crop type classification
Mariana Belgiu, W. Bijker, Ovidiu Csillik, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 95, pp. 102264-102264
Open Access | Times Cited: 61

High-resolution map of sugarcane cultivation in Brazil using a phenology-based method
Yi Zheng, Ana Cláudia dos Santos Luciano, Jie Dong, et al.
Earth system science data (2022) Vol. 14, Iss. 4, pp. 2065-2080
Open Access | Times Cited: 34

Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery
Olaniyi A. Ajadi, Jeremiah Barr, Sang-Zi Liang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 97, pp. 102294-102294
Open Access | Times Cited: 41

A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect
Haili Huang, Lin Yang, Lei Zhang, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 12, pp. 123004-123004
Open Access | Times Cited: 28

Mapping native and non-native vegetation in the Brazilian Cerrado using freely available satellite products
Kennedy Lewis, Fernanda Barros, Marcio B. Cure, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24

Deep Learning in the Mapping of Agricultural Land Use Using Sentinel-2 Satellite Data
Gurwinder Singh, Sartajvir Singh, Ganesh Kumar Sethi, et al.
Geographies (2022) Vol. 2, Iss. 4, pp. 691-700
Open Access | Times Cited: 24

Satellite Image Categorization Using Scalable Deep Learning
Samabia Tehsin, Sumaira Kausar, Amina Jameel, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5108-5108
Open Access | Times Cited: 13

Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning
Hugo do Nascimento Bendini, Rémy Fieuzal, Pierre Carrère, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 834-834
Open Access | Times Cited: 4

Mapping Integrated Crop–Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning
J. P. S. Werner, Mariana Belgiu, Inácio Thomaz Bueno, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1421-1421
Open Access | Times Cited: 4

A robust method for mapping soybean by phenological aligning of Sentinel-2 time series
Xin Huang, Anton Vrieling, Yue Dou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 1-18
Open Access | Times Cited: 4

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

Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method
Zhou Wang, Yan Mo, Qiaofeng Ou, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1245-1245
Open Access

Bacterial and nematode communities associated with soybean-cultivated soils from two native Brazilian biomes
Felipe Martins do Rêgo Barros, Roy Neilson, Madeline Giles, et al.
Applied Soil Ecology (2025) Vol. 212, pp. 106179-106179
Closed Access

CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt
Michel Eustáquio Dantas Chaves, Anderson R. Soares, Ieda Del’Arco Sanches, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 21, pp. 8398-8432
Closed Access | Times Cited: 22

Estimating Double Cropping Plantations in the Brazilian Cerrado through PlanetScope Monthly Mosaics
Edson Eyji Sano, Édson Luís Bolfe, Taya Cristo Parreiras, et al.
Land (2023) Vol. 12, Iss. 3, pp. 581-581
Open Access | Times Cited: 9

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