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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:

Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks
Teja Kattenborn, Felix Schiefer, Julian Frey, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2022) Vol. 5, pp. 100018-100018
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103569-103569
Open Access | Times Cited: 57
Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery
Stefano Puliti, Rasmus Astrup
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102946-102946
Open Access | Times Cited: 44
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods
Johann Desloires, Dino Ienco, Antoine Botrel
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107807-107807
Open Access | Times Cited: 36
From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data
Eya Cherif, Hannes Feilhauer, Katja Berger, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113580-113580
Open Access | Times Cited: 33
UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
Felix Schiefer, Sebastian Schmidtlein, Annett Frick, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 8, pp. 100034-100034
Open Access | Times Cited: 28
Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data
Erika Piaser, Paolo Villa
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103202-103202
Open Access | Times Cited: 27
A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level
Felix Lobert, Johannes Löw, Marcel Schwieder, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113800-113800
Open Access | Times Cited: 24
Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
Jonathan V. Solórzano, Jean‐François Mas, J. Alberto Gallardo-Cruz, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 87-101
Closed Access | Times Cited: 23
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN
James Ball, Sebastian Hickman, Toby Jackson, et al.
Remote Sensing in Ecology and Conservation (2023) Vol. 9, Iss. 5, pp. 641-655
Open Access | Times Cited: 22
Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning
Simon Ecke, Florian Stehr, Julian Frey, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108785-108785
Open Access | Times Cited: 9
Instance segmentation of individual tree crowns with YOLOv5: A comparison of approaches using the ForInstance benchmark LiDAR dataset
Adrian Straker, Stefano Puliti, Johannes Breidenbach, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 9, pp. 100045-100045
Open Access | Times Cited: 20
Incorporation of neighborhood information improves performance of SDB models
Anders Knudby, Galen Richardson
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101033-101033
Closed Access | Times Cited: 19
Linearly interpolating missing values in time series helps little for land cover classification using recurrent or attention networks
Xianghong Che, Hankui K. Zhang, Zhongbin B. Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 212, pp. 73-95
Open Access | Times Cited: 6
Integrating geographic knowledge into deep learning for spatiotemporal local climate zone mapping derived thermal environment exploration across Chinese climate zones
Qiqi Zhu, Longli Ran, Yunchang Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 53-75
Closed Access | Times Cited: 6
Monitoring changes of forest height in California
Samuel Favrichon, Jake Lee, Yan Yang, et al.
Frontiers in Remote Sensing (2025) Vol. 5
Open Access
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
Application of Machine Learning for Aboveground Biomass Modeling in Tropical and Temperate Forests from Airborne Hyperspectral Imagery
Patrick Osei Darko, Samy Metari, J. Pablo Arroyo‐Mora, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 477-477
Open Access
Supervised machine learning for predicting and interpreting dynamic drivers of plantation forest productivity in northern Tasmania, Australia
Laura N. Sotomayor, Matthew J. Cracknell, Robert Musk
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107804-107804
Open Access | Times Cited: 13
The analysis of ecological security and tourist satisfaction of ice-and-snow tourism under deep learning and the Internet of Things
Baiju Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 11
spatialMaxent: Adapting species distribution modeling to spatial data
Lisa Bald, Jannis Gottwald, Dirk Zeuss
Ecology and Evolution (2023) Vol. 13, Iss. 10
Open Access | Times Cited: 10
Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines
Isabelle Rocamora, Dino Ienco, Matthieu Ferry
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 3
A Novel Framework for Forest Above-Ground Biomass Inversion Using Multi-Source Remote Sensing and Deep Learning
Junxiang Zhang, Cui Zhou, Gui Zhang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 456-456
Open Access | Times Cited: 3
STUDY ON EXOGENOUS PROCESSES ALONG THE WESTERN COAST OF THE CRIMEAN PENINSULA USING DEEP LEARNING METHODS
R. Okhrimchuk, V. Demidov, Kateryna SLIUSAR, et al.
Visnyk of Taras Shevchenko National University of Kyiv Geology (2024), Iss. 1 (104), pp. 124-131
Open Access | Times Cited: 3
Predicting unseen chub mackerel densities through spatiotemporal machine learning: Indications of potential hyperdepletion in catch-per-unit-effort due to fishing ground contraction
Shota Kunimatsu, Hiroyuki Kurota, Soyoka Muko, et al.
Ecological Informatics (2024) Vol. 85, pp. 102944-102944
Open Access | Times Cited: 3
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