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:

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
Markus Immitzer, Francesco Vuolo, Clement Atzberger
Remote Sensing (2016) Vol. 8, Iss. 3, pp. 166-166
Open Access | Times Cited: 804

Showing 26-50 of 804 citing articles:

Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixels in Sentinel-2 MSI Images
André Hollstein, Karl Segl, Luis Guanter, et al.
Remote Sensing (2016) Vol. 8, Iss. 8, pp. 666-666
Open Access | Times Cited: 183
Status of Phenological Research Using Sentinel-2 Data: A Review
Gourav Misra, Fiona Cawkwell, Astrid Wingler
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2760-2760
Open Access | Times Cited: 180
Sentinel-2’s Potential for Sub-Pixel Landscape Feature Detection
Julien Radoux, Guillaume Chomé, Damien Jacques, et al.
Remote Sensing (2016) Vol. 8, Iss. 6, pp. 488-488
Open Access | Times Cited: 176
Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
Ewa Grabska‐Szwagrzyk, David Frantz, Katarzyna Ostapowicz
Remote Sensing of Environment (2020) Vol. 251, pp. 112103-112103
Closed Access | Times Cited: 171
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
Remote Sensing of Environment (2019) Vol. 233, pp. 111347-111347
Open Access | Times Cited: 169
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
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
Anderson Santos, José Marcato, Márcio Santos Araújo, et al.
Sensors (2019) Vol. 19, Iss. 16, pp. 3595-3595
Open Access | Times Cited: 165
Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
Sébastien Rapinel, Cendrine Mony, Lucie Lecoq, et al.
Remote Sensing of Environment (2019) Vol. 223, pp. 115-129
Open Access | Times Cited: 161
Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data
Agata Hościło, Aneta Lewandowska
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 929-929
Open Access | Times Cited: 158
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1977-1977
Open Access | Times Cited: 147
Mapping the presence and distribution of tree species in Canada's forested ecosystems
Txomin Hermosilla, Alex Bastyr, Nicholas C. Coops, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113276-113276
Open Access | Times Cited: 77
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
Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM Texture Feature—A Case Study for Lousã Region, Portugal
Pegah Mohammadpour, D. X. Viegas, Carlos Viegas
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4585-4585
Open Access | Times Cited: 73
Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
Lijun Wang, Jiayao Wang, Zhenzhen Liu, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1435-1451
Open Access | Times Cited: 72
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Haijun Li, Xiao‐Peng Song, Matthew C. Hansen, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113623-113623
Closed Access | Times Cited: 57
Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1463-1463
Open Access | Times Cited: 49
A Sentinel-2 machine learning dataset for tree species classification in Germany
Maximilian Freudenberg, Sebastian Schnell, Paul Magdon
Earth system science data (2025) Vol. 17, Iss. 2, pp. 351-367
Open Access | Times Cited: 4
Sentinel-2A MSI and Landsat 8 OLI Provide Data Continuity for Geological Remote Sensing
H.M.A. van der Werff, F.D. van der Meer
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 883-883
Open Access | Times Cited: 168
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species
Dezhi Wang, Bo Wan, Penghua Qiu, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1468-1468
Open Access | Times Cited: 162
Enset in Ethiopia: a poorly characterized but resilient starch staple
James S. Borrell, Manosh Kumar Biswas, Mark Goodwin, et al.
Annals of Botany (2018) Vol. 123, Iss. 5, pp. 747-766
Open Access | Times Cited: 156
Crop classification from Sentinel-2-derived vegetation indices using ensemble learning
Rei Sonobe, Yuki Yamaya, Hiroshi Tani, et al.
Journal of Applied Remote Sensing (2018) Vol. 12, Iss. 02, pp. 1-1
Open Access | Times Cited: 154
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
Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
Francesco Vuolo, Mateusz Żółtak, Claudia Pipitone, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 938-938
Open Access | Times Cited: 148
The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests
Astrid Verhegghen, Hugh Eva, Guido Ceccherini, et al.
Remote Sensing (2016) Vol. 8, Iss. 12, pp. 986-986
Open Access | Times Cited: 146
Assessing the suitability of data from Sentinel-1A and 2A for crop classification
Rei Sonobe, Yuki Yamaya, Hiroshi Tani, et al.
GIScience & Remote Sensing (2017) Vol. 54, Iss. 6, pp. 918-938
Open Access | Times Cited: 144

Scroll to top