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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:

Tree Species Mapping on Sentinel-2 Satellite Imagery with Weakly Supervised Classification and Object-Wise Sampling
Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, et al.
Forests (2021) Vol. 12, Iss. 10, pp. 1413-1413
Open Access | Times Cited: 25

Showing 25 citing articles:

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
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
OpenForest: a data catalog for machine learning in forest monitoring
Arthur Ouaknine, Teja Kattenborn, Étienne Laliberté, et al.
Environmental Data Science (2025) Vol. 4
Open Access | Times Cited: 1
Estimation of the Total Carbon Stock of Dudles Forest Based on Satellite Imagery, Airborne Laser Scanning, and Field Surveys
Kornél Czimber, Botond Szász, Norbert Ács, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 512-512
Open Access | Times Cited: 1
Deep Learning in Forest Tree Species Classification Using Sentinel-2 on Google Earth Engine: A Case Study of Qingyuan County
Tao He, Houkui Zhou, Caiyao Xu, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2741-2741
Open Access | Times Cited: 17
Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels
Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, et al.
IEEE Access (2023) Vol. 11, pp. 82570-82583
Open Access | Times Cited: 15
Exploiting hyperspectral and multispectral images in the detection of tree species: A review
Sude Gul Yel, Esra Tunç Görmüş
Frontiers in Remote Sensing (2023) Vol. 4
Open Access | Times Cited: 14
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-based Methods
Lihui Zhong, Zhengquan Dai, Panfei Fang, et al.
(2024)
Open Access | Times Cited: 6
Advancing forest carbon stocks’ mapping using a hierarchical approach with machine learning and satellite imagery
Svetlana Illarionova, Polina Tregubova, Islomjon Shukhratov, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks
Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5861-5861
Open Access | Times Cited: 22
Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery
Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2347-2347
Open Access | Times Cited: 11
Forest Plant Diversity Assessment Based on Remote Sensing: A Systematic Literature Review
Zelalem Teshager, Teshome Soromessa
Research Square (Research Square) (2025)
Closed Access
Automated Recognition of Tree Species Composition of Forest Communities Using Sentinel-2 Satellite Data
Alika Polyakova, Svetlana Mukharamova, Oleg Yermolaev, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 329-329
Open Access | Times Cited: 9
Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images
Rıdvan Salih Kuzu, Oleg Antropov, Matthieu Molinier, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4751-4767
Open Access | Times Cited: 3
Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2281-2281
Open Access | Times Cited: 14
Tree Species Classification Based on Self-Supervised Learning with Multisource Remote Sensing Images
Xueliang Wang, Nan Yang, Enjun Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1928-1928
Open Access | Times Cited: 8
Enabling Multi-Part Plant Segmentation with Instance-Level Augmentation Using Weak Annotations
Semen Mukhamadiev, Sergey Nesteruk, Svetlana Illarionova, et al.
Information (2023) Vol. 14, Iss. 7, pp. 380-380
Open Access | Times Cited: 6
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images
Shaojia Ge, Oleg Antropov, Tuomas Häme, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5152-5152
Open Access | Times Cited: 5
A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus
Arslan Amin, Andreas Kamilaris, Savvas Karatsiolis
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4611-4611
Open Access | Times Cited: 1
Mapping of Rill Erosion of the Middle Volga (Russia) Region Using Deep Neural Network
Artur Gafurov
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 197-197
Open Access | Times Cited: 5
Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management
Oleg Antropov, Matthieu Molinier, Rıdvan Salih Kuzu, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 650-653
Open Access | Times Cited: 1
Segmentation of Agricultural Parcels in Satellite Images Based on Historical Vegetation Index Data
Maria Pavlova, Valerii Timofeev, Dmitry Bocharov, et al.
(2021)
Open Access | Times Cited: 2
Forests for a Better Future: Sustainability, Innovation and Interdisciplinarity
Angela Lo Monaco, Cate Macinnis‐Ng, Om P. Rajora
Forests (2022) Vol. 13, Iss. 6, pp. 941-941
Open Access | Times Cited: 1
IMPROVING QUALITY OF SATELLITE IMAGES FOR THE CARBON FOOTPRINT MONITORING
S. G. Fomicheva, Sergey Bezzateev, Irina S. Skrobat
T-Comm (2023) Vol. 17, Iss. 9, pp. 4-18
Open Access
Using deep convolutional neural networks for mapping of rill erosion of the pre-Volga region (Republic of Tatarstan, Russia)
Artur Gafurov, Bulat Usmanov
(2022), pp. 51-51
Closed Access
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