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 Classification Using High-Resolution Satellite Imagery and Weakly Supervised Learning
Michele Gazzea, Lars Michael Kristensen, Francesco Pirotti, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-11
Closed Access | Times Cited: 14

Showing 14 citing articles:

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

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: 10

AI applications in forest monitoring need remote sensing benchmark datasets
Emily R. Lines, Matthew R. Allen, Carlos Çabo, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4528-4533
Open Access | Times Cited: 14

Traffic monitoring system design considering multi-hazard disaster risks
Michele Gazzea, Amir Miraki, Onur Alişan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5

MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching
Michele Gazzea, Oscar Sommervold, Reza Arghandeh
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 4891-4899
Open Access | Times Cited: 5

UPDATING ABOVEGROUND BIOMASS AT A PAN-EUROPEAN SCALE THROUGH SATELLITE DATA AND ARTIFICIAL INTELLIGENCE
Francesco Pirotti, José Ramón González‐Olabarria, Erico Kutchartt
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-1/W2-2023, pp. 1763-1769
Open Access | Times Cited: 3

Evaluating the effects of texture features on Pinus sylvestris classification using high-resolution aerial imagery
Fırat Erdem, Onur Can Bayrak
Ecological Informatics (2023) Vol. 78, pp. 102389-102389
Closed Access | Times Cited: 2

Comprehensive study on the water body and environmental issues – A review
G. Silpalatha, T. S. Jayadeva
AIP conference proceedings (2024) Vol. 3028, pp. 020043-020043
Closed Access

2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction
Patrick Ebel, Rochelle Schneider, Massimo Bonavita, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access

Impact of Spectral and Meteorological Data Fusion on the Accuracy of Woody Plant Identification Using Deep Machine Learning Methods
Alexander A. Alexandrov, Pavel Dmitriev, Anastasiya A. Dmitrieva, et al.
Lecture notes in networks and systems (2024), pp. 207-216
Closed Access

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion
Michael Lindemann, Kathleen DeMichele, Masoumeh Heidari Kapourchali, et al.
(2023), pp. 528-535
Closed Access

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