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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:

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

Showing 1-25 of 158 citing articles:

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: 192
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: 179
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
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
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
Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data
Xiang Liu, Julian Frey, Catalina Munteanu, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113576-113576
Closed Access | Times Cited: 44
National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data
Lukas Blickensdörfer, Katja Oehmichen, Dirk Pflugmacher, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114069-114069
Open Access | Times Cited: 36
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
Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data
Zayd Mahmoud Hamdi, Melanie Brandmeier, Christoph Straub
Remote Sensing (2019) Vol. 11, Iss. 17, pp. 1976-1976
Open Access | Times Cited: 120
Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a mountainous region
Andreas Kollert, Magnus Bremer, Markus Löw, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 94, pp. 102208-102208
Open Access | Times Cited: 81
Exploitation of Time Series Sentinel-2 Data and Different Machine Learning Algorithms for Detailed Tree Species Classification
Yanbiao Xi, Chunying Ren, Qingjiu Tian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 7589-7603
Open Access | Times Cited: 60
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries
Lars T. Waser‬, Marius Rüetschi, Achilleas Psomas, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 180, pp. 209-226
Open Access | Times Cited: 60
Mapping tree species proportions from satellite imagery using spectral–spatial deep learning
Corentin Bolyn, Philippe Lejeune, Adrien Michez, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113205-113205
Open Access | Times Cited: 53
Mapping Dominant Tree Species of German Forests
Torsten Welle, Lukas Aschenbrenner, Kevin Kuonath, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3330-3330
Open Access | Times Cited: 52
Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
Vahid Nasiri, Mirela Beloiu, Ali Asghar Darvishsefat, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103154-103154
Open Access | Times Cited: 46
Mountain Tree Species Mapping Using Sentinel-2, PlanetScope, and Airborne HySpex Hyperspectral Imagery
Marcin Kluczek, Bogdan Zagajewski, Tomasz Zwijacz‐Kozica
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 844-844
Open Access | Times Cited: 31
FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net
Kassim Kalinaki, Owais Ahmed Malik, Daphne Teck Ching Lai
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103453-103453
Open Access | Times Cited: 24
Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest
Pan Liu, Chunying Ren, Zongming Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 293-293
Open Access | Times Cited: 12
Map of forest tree species for Poland based on Sentinel-2 data
Ewa Grabska‐Szwagrzyk, Dirk Tiede, Martin Sudmanns, et al.
Earth system science data (2024) Vol. 16, Iss. 6, pp. 2877-2891
Open Access | Times Cited: 10
Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy
Eros Caputi, Gabriele Delogu, Alessio Patriarca, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 356-356
Open Access | Times Cited: 1
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
Yang Hu, Xuelei Xu, Fayun Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 186-186
Open Access | Times Cited: 63
Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data
Kourosh Ahmadi, Bahareh Kalantar, Vahideh Saeidi, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3019-3019
Open Access | Times Cited: 55
Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve
Bogdan Zagajewski, Marcin Kluczek, Edwin Raczko, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2581-2581
Open Access | Times Cited: 55
Assessment of Sentinel-2 Satellite Images and Random Forest Classifier for Rainforest Mapping in Gabon
Adam Waśniewski, Agata Hościło, Bogdan Zagajewski, et al.
Forests (2020) Vol. 11, Iss. 9, pp. 941-941
Open Access | Times Cited: 53
Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve
Michael Lechner, Alena Dostálová, Markus Hollaus, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2687-2687
Open Access | Times Cited: 36
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