Open Access Helper

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:

How much does multi-temporal Sentinel-2 data improve crop type classification?
Francesco Vuolo, Martin Neuwirth, Markus Immitzer, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 72, pp. 122-130
Closed Access | Times Cited: 287

Showing 1-25 of 287 citing articles:

Land-cover classification with high-resolution remote sensing images using transferable deep models
Xinyi Tong, Gui-Song Xia, Qikai Lu, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111322-111322
Open Access | Times Cited: 734
Sentinel-2 Data for Land Cover/Use Mapping: A Review
Darius Phiri, Matamyo Simwanda, Serajis Salekin, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2291-2291
Open Access | Times Cited: 588
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Abdulhakim M. Abdi
GIScience & Remote Sensing (2019) Vol. 57, Iss. 1, pp. 1-20
Open Access | Times Cited: 499
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
Remote Sensing (2019) Vol. 11, Iss. 5, pp. 523-523
Open Access | Times Cited: 465
Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications
Joel Segarra, Ma. Luisa Buchaillot, J. L. Araus, et al.
Agronomy (2020) Vol. 10, Iss. 5, pp. 641-641
Open Access | Times Cited: 355
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
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
Kristof Van Tricht, Anne Gobin, Sven Gilliams, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1642-1642
Open Access | Times Cited: 221
Tree Species Classification with Multi-Temporal Sentinel-2 Data
Magnus Persson, Eva Lindberg, Heather Reese
Remote Sensing (2018) Vol. 10, Iss. 11, pp. 1794-1794
Open Access | Times Cited: 218
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
Markus Immitzer, Martin Neuwirth, Sebastian Böck, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2599-2599
Open Access | Times Cited: 193
Understanding deep learning in land use classification based on Sentinel-2 time series
Manuel Campos‐Taberner, Francisco Javier Garcı́a-Haro, Beatriz Martínez, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 169
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu, Stefano D’Aronco, Gregor Perich, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112603-112603
Open Access | Times Cited: 119
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 172-200
Open Access | Times Cited: 89
10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product
Khuong H. Tran, Hankui K. Zhang, John McMaine, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102692-102692
Open Access | Times Cited: 74
Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020
Chengkang Zhang, Hongyan Zhang, Sijing Tian
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108105-108105
Closed Access | Times Cited: 61
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery
Yumiao Wang, Luwei Feng, Zhou Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 102-117
Closed Access | Times Cited: 51
Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
Julia Maschler, Clement Atzberger, Markus Immitzer
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1218-1218
Open Access | Times Cited: 153
Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region
Chuanliang Sun, Yan Shan Bian, Tao Zhou, et al.
Sensors (2019) Vol. 19, Iss. 10, pp. 2401-2401
Open Access | Times Cited: 139
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 238-238
Open Access | Times Cited: 119
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 105
Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method
Zhenrong Du, Jianyu Yang, Cong Ou, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 888-888
Open Access | Times Cited: 98
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images
Yumiao Wang, Zhou Zhang, Luwei Feng, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106090-106090
Open Access | Times Cited: 97
In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1 Time Series
Valérie Demarez, Frederick Ruby Helen, Claire Marais-Sicre, et al.
Remote Sensing (2019) Vol. 11, Iss. 2, pp. 118-118
Open Access | Times Cited: 92
Pre- and within-season crop type classification trained with archival land cover information
David M. Johnson, Richard Mueller
Remote Sensing of Environment (2021) Vol. 264, pp. 112576-112576
Open Access | Times Cited: 91
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery
Shuting Yang, Lingjia Gu, Xiaofeng Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3119-3119
Open Access | Times Cited: 85
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot, Loïc Landrieu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 85
Page 1 - Next Page

Scroll to top