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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:

Forest Stand Species Mapping Using the Sentinel-2 Time Series
Ewa Grabska‐Szwagrzyk, Patrick Hostert, Dirk Pflugmacher, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1197-1197
Open Access | Times Cited: 241

Showing 1-25 of 241 citing articles:

African Journal of Environmental Science and Technology

African Journal of Environmental Science and Technology (2024)
Open Access | Times Cited: 607
Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest
N. Amiri, Peter Krzystek, Marco Heurich, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2614-2614
Open Access | Times Cited: 231
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
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
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 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
Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
Zheng Gong, Wenyan Ge, Jiaqi Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 149-164
Closed Access | Times Cited: 28
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification
Yuan Yuan, Lei Lin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 474-487
Open Access | Times Cited: 124
Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation
Josef Laštovička, Pavel Švec, Daniel Paluba, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1914-1914
Open Access | Times Cited: 90
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: 61
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: 61
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: 53
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 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
The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial Resolution UAV Images
Jianjun Chen, Zizhen Chen, Renjie Huang, et al.
Drones (2023) Vol. 7, Iss. 1, pp. 61-61
Open Access | Times Cited: 34
TreeSatAI Benchmark Archive: a multi-sensor, multi-label dataset for tree species classification in remote sensing
Steve Ahlswede, Christian Schulz, Christiano Gava, et al.
Earth system science data (2023) Vol. 15, Iss. 2, pp. 681-695
Open Access | Times Cited: 29
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
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
Comprehensive mapping of individual living and dead tree species using leaf-on and leaf-off ALS and CIR data in a complex temperate forest
Maciej Lisiewicz, Agnieszka Kamińska, Bartłomiej Kraszewski, et al.
Forestry An International Journal of Forest Research (2025)
Closed Access | Times Cited: 1
National mapping and estimation of forest area by dominant tree species using Sentinel-2 data
Johannes Breidenbach, Lars T. Waser‬, Misganu Debella-Gilo, et al.
Canadian Journal of Forest Research (2020) Vol. 51, Iss. 3, pp. 365-379
Open Access | Times Cited: 65
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 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: 56
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