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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:

A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO
Renata Ďuračiová, Milan Muňko, Ivan Barka, et al.
iForest - Biogeosciences and Forestry (2020) Vol. 13, Iss. 1, pp. 215-223
Open Access | Times Cited: 22

Showing 22 citing articles:

Early detection of bark beetle (Ips typographus) infestations by remote sensing – A critical review of recent research
Markus Kautz, Joachim Feurer, Petra Adler
Forest Ecology and Management (2024) Vol. 556, pp. 121595-121595
Open Access | Times Cited: 18
Patterns, drivers and detectability of infestation symptoms following attacks by the European spruce bark beetle
Markus Kautz, Felix Johannes Peter, Laura Harms, et al.
Journal of Pest Science (2022) Vol. 96, Iss. 1, pp. 403-414
Open Access | Times Cited: 40
Features predisposing forest to bark beetle outbreaks and their dynamics during drought
Mitro Müller, P-O. Olsson, Lars Eklundh, et al.
Forest Ecology and Management (2022) Vol. 523, pp. 120480-120480
Open Access | Times Cited: 40
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
Seyed Mojtaba Marvasti-Zadeh, Devin W. Goodsman, Nilanjan Ray, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-40
Open Access | Times Cited: 19
Detection of green attack and bark beetle susceptibility in Norway Spruce: Utilizing PlanetScope Multispectral Imagery for Tri-Stage spectral separability analysis
Aleksei Trubin, Giorgi Kozhoridze, Khodabakhsh Zabihi, et al.
Forest Ecology and Management (2024) Vol. 560, pp. 121838-121838
Closed Access | Times Cited: 7
Infestation patterns of two bark beetle species in multi-species coniferous forests on Kunashir Island in North Pacific Ocean region
A.I. Karpov, Nana Pirtskhalava-Karpova, Aleksei Trubin, et al.
Forest Ecology and Management (2024) Vol. 558, pp. 121774-121774
Closed Access | Times Cited: 5
Both native and invasive bark beetles threaten exotic conifers within the spa towns in the Czech part of “The Great Spas of Europe”
Tomáš Fiala, Jaroslav Holuša, Adam Véle
Urban forestry & urban greening (2021) Vol. 67, pp. 127417-127417
Closed Access | Times Cited: 23
: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images
Giuseppina Andresini, Annalisa Appice, Donato Malerba
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 10050-10066
Open Access | Times Cited: 9
Predictive Model for Bark Beetle Outbreaks in European Forests
Ángel Fernández-Carrillo, Antonio Franco-Nieto, María Julia Yagüe-Ballester, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1114-1114
Open Access | Times Cited: 3
Wind Damage and Temperature Effect on Tree Mortality Caused by Ips typographus L.: Phase Transition Model
V. G. Soukhovolsky, Anton Kovalev, О. В. Тарасова, et al.
Forests (2022) Vol. 13, Iss. 2, pp. 180-180
Open Access | Times Cited: 14
Contrasting Norway spruce disturbance dynamics in managed forests and strict forest reserves in Slovakia
Mária Potterf, Marek Svitok, Pavel Mezei, et al.
Forestry An International Journal of Forest Research (2022) Vol. 96, Iss. 3, pp. 387-398
Open Access | Times Cited: 14
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2024), pp. 875-882
Open Access | Times Cited: 2
Assessment of Machine Learning Algorithms for Modeling the Spatial Distribution of Bark Beetle Infestation
Milan Koreň, Rastislav Jakuš, Martin Zápotocký, et al.
Forests (2021) Vol. 12, Iss. 4, pp. 395-395
Open Access | Times Cited: 17
Comparative study of the analytical hierarchy process, frequency ratio, and logistic regression models for predicting the susceptibility to Ips sexdentatus in Crimean pine forests
Fatih Sivrikaya, Gonca Ece Özcan, Korhan Enez, et al.
Ecological Informatics (2022) Vol. 71, pp. 101811-101811
Closed Access | Times Cited: 12
A Point-Cloud Solar Radiation Tool
Filip Pružinec, Renata Ďuračiová
Energies (2022) Vol. 15, Iss. 19, pp. 7018-7018
Open Access | Times Cited: 6
Predicting the Susceptibility to Pityokteines curvidens Using GIS with AHP and MaxEnt Models in Fir Forests
Fatih Sivrikaya, Gonca Ece Özcan, Korhan Enez
IntechOpen eBooks (2023)
Open Access | Times Cited: 3
Spruce bark beetle phenological modelling and drought risk within framework of TANABBO II model
Nana Pirtskhalava-Karpova, A.I. Karpov, Aleksei Trubin, et al.
Ecological Modelling (2024) Vol. 496, pp. 110814-110814
Closed Access
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images
Giuseppina Andresini, Annalisa Appice, Dino Ienco, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 5227-5230
Closed Access
An intelligent system for determining the degree of tree bark beetle damage based on the use of generative‐adversarial neural networks
S. P. Victor, Hordun Mykhailo, Junttila Samuli
Plant-Environment Interactions (2024) Vol. 5, Iss. 6
Open Access
Titania: Mapping Forest Tree Dieback with Self-Distilling U-Net on Sentinel-2 Images
Giuseppina Andresini, Annalisa Appice, Donato Malerba
(2024)
Closed Access
Analytic Hierarchy Process - Models, Methods, Concepts, and Applications [Working Title]
Fabio De Felice, Antonella Petrillo, Hatice Esen, et al.
IntechOpen eBooks (2023)
Open Access | Times Cited: 1
Analysing Pine Disease Spread Using Random Point Process by Remote Sensing of a Forest Stand
Rostyslav Kosarevych, Izabela Jonek-Kowalska, Bohdan Rusyn, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3941-3941
Open Access
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