OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 26-50 of 217 citing articles:

CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2
César Aybar, Luis Ysuhuaylas, Jhomira Loja, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 47

Comprehensive quality assessment of optical satellite imagery using weakly supervised video learning
Valerie J. Pasquarella, Christopher F. Brown, Wanda Czerwinski, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2125-2135
Closed Access | Times Cited: 26

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France
Diego Fernando Urbina Salazar, Emmanuelle Vaudour, Anne C Richer-De-Forges, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2410-2410
Open Access | Times Cited: 24

Evaluation of Landsat-9 interoperability with Sentinel-2 and Landsat-8 over Europe and local comparison with field surveys
Francesca Trevisiol, Emanuele Mandanici, Alessandra Pagliarani, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 55-68
Open Access | Times Cited: 12

Towards a standardized, ground-based network of hyperspectral measurements: Combining time series from autonomous field spectrometers with Sentinel-2
Paul Naethe, Andrea De Sanctis, Andreas Burkart, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 114013-114013
Open Access | Times Cited: 9

Comparison of Cloud-Mask Algorithms and Machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain
Xinyi Gao, Hong Chi, Jinliang Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 9

The Impact of Acquisition Date on the Prediction Performance of Topsoil Organic Carbon from Sentinel-2 for Croplands
Emmanuelle Vaudour, Cécile Gomez, Thomas Loiseau, et al.
Remote Sensing (2019) Vol. 11, Iss. 18, pp. 2143-2143
Open Access | Times Cited: 70

Transferring deep learning models for cloud detection between Landsat-8 and Proba-V
Gonzalo Mateo‐García, Valero Laparra, Dan López-Puigdollers, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 160, pp. 1-17
Closed Access | Times Cited: 69

Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest
Alber Sánchez, Michelle Cristina Araújo Picoli, Gilberto Câmara, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1284-1284
Open Access | Times Cited: 69

A global cloud free pixel- based image composite from Sentinel-2 data
Christina Corbane, Panagiotis Politis, Pieter Kempeneers, et al.
Data in Brief (2020) Vol. 31, pp. 105737-105737
Open Access | Times Cited: 56

Comparison of Masking Algorithms for Sentinel-2 Imagery
Viktoria Zekoll, Magdalena Main-Knorn, Kevin Alonso, et al.
Remote Sensing (2021) Vol. 13, Iss. 1, pp. 137-137
Open Access | Times Cited: 53

A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features
Li Jun, Zhaocong Wu, Zhongwen Hu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-19
Open Access | Times Cited: 49

Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series
Philipp Hochreuther, Niklas Neckel, Nathalie Reimann, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 205-205
Open Access | Times Cited: 47

Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan
Aqil Tariq, Hong Shu, Alexandre S. Gagnon, et al.
Forests (2021) Vol. 12, Iss. 10, pp. 1371-1371
Open Access | Times Cited: 44

Quantitative estimation for the impact of mining activities on vegetation phenology and identifying its controlling factors from Sentinel-2 time series
Xiaofei Sun, Linguo Yuan, Meng Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 111, pp. 102814-102814
Open Access | Times Cited: 37

Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge
Hugo Costa, Pedro Benevides, Francisco D. Moreira, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1865-1865
Open Access | Times Cited: 36

Global crop calendars of maize and wheat in the framework of the WorldCereal project
B. Franch, Juanma Cintas, Inbal Becker‐Reshef, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 885-913
Open Access | Times Cited: 36

A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
Jun Li, Zhaocong Wu, Qinghong Sheng, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113197-113197
Open Access | Times Cited: 36

DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 3376-3389
Open Access | Times Cited: 32

Cloud detection using sentinel 2 imageries: a comparison of XGBoost, RF, SVM, and CNN algorithms
Rohit Singh, Mantosh Biswas, Mahesh Pal
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-32
Open Access | Times Cited: 29

Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets
Hayfa Zayani, Youssef Fouad, Didier Michot, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4264-4264
Open Access | Times Cited: 22

Seeing Through Clouds in Satellite Images
M. Zhao, Peder A. Olsen, Ranveer Chandra
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Open Access | Times Cited: 20

Cloud Removal from Satellite Images Using a Deep Learning Model with the Cloud-Matting Method
Deying Ma, Renzhe Wu, Dongsheng Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 904-904
Open Access | Times Cited: 17

Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches
Marco Vizzari, Giacomo Lesti, Siham Acharki
Geo-spatial Information Science (2024), pp. 1-16
Open Access | Times Cited: 9

Scroll to top