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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:

Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)
Langning Huo, Henrik Persson, Eva Lindberg
Remote Sensing of Environment (2021) Vol. 255, pp. 112240-112240
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years
Frank Thonfeld, Ursula Geßner, Stefanie Holzwarth, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 562-562
Open Access | Times Cited: 97
Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions
Langning Huo, Eva Lindberg, Jonas Bohlin, et al.
Remote Sensing of Environment (2023) Vol. 287, pp. 113484-113484
Open Access | Times Cited: 43
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
A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images
Peng Zhang, Peijun Du, Shanchuan Guo, et al.
Remote Sensing of Environment (2022) Vol. 276, pp. 113042-113042
Closed Access | Times Cited: 66
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
Guillaume Lassalle, Matheus Pinheiro Ferreira, Laura Elena Cué La Rosa, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 189, pp. 220-235
Open Access | Times Cited: 60
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: 43
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: 43
Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data
Michele Dalponte, Yady Tatiana Solano‐Correa, Lorenzo Frizzera, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3135-3135
Open Access | Times Cited: 40
Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations
Simon König, Frank Thonfeld, Michael Förster, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 24
Using only the red-edge bands is sufficient to detect tree stress: A case study on the early detection of PWD using hyperspectral drone images
Niwen Li, Langning Huo, Xiaoli Zhang
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108665-108665
Closed Access | Times Cited: 15
Assessment of urbanization impacts on vegetation cover in major cities of Pakistan: evidence from remotely sensed data
Zeeshan Zafar
GeoJournal (2024) Vol. 89, Iss. 4
Closed Access | Times Cited: 15
Where is tea grown in the world: A robust mapping framework for agroforestry crop with knowledge graph and sentinels images
Yufeng Peng, Bingwen Qiu, Zhenghong Tang, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 114016-114016
Closed Access | Times Cited: 11
War drives forest fire risks and highlights the need for more ecologically-sound forest management in post-war Ukraine
Maksym Matsala, Andrii Odruzhenko, Taras Hinchuk, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
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: 9
Remote sensing forest health assessment – a comprehensive literature review on a European level
Jonathan Drechsel, Matthias Forkel
Central European Forestry Journal (2025) Vol. 71, Iss. 1, pp. 14-39
Open Access | Times Cited: 1
Multispectral drone images for the early detection of bark beetle infestations: assessment over large forest areas in the Italian South-Eastern Alps
A. Bozzini, Langning Huo, Stefano Brugnaro, et al.
Frontiers in Forests and Global Change (2025) Vol. 8
Open Access | Times Cited: 1
Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images
Runsheng Yu, Youqing Luo, Haonan Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4065-4065
Open Access | Times Cited: 47
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits
T. Poblete, Juan A Navas‐Cortés, C. Camino, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 179, pp. 133-144
Open Access | Times Cited: 45
Early Monitoring of Forest Wood-Boring Pests with Remote Sensing
Youqing Luo, Huaguo Huang, Alain Roques
Annual Review of Entomology (2022) Vol. 68, Iss. 1, pp. 277-298
Open Access | Times Cited: 38
A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space
Long Tian, Ziyi Wang, Bowen Xue, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113384-113384
Closed Access | Times Cited: 30
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: 22
Detection of susceptible Norway spruce to bark beetle attack using PlanetScope multispectral imagery
Aleksei Trubin, Giorgi Kozhoridze, Khodabakhsh Zabihi, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 21
Spruce Bark Beetle Outbreak Prediction through Automatic Classification of Sentinel-2 Imagery
A. Bozzini, Saverio Francini, Gherardo Chirici, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1116-1116
Open Access | Times Cited: 17
Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Juan Sebastián Estrada, Andrés Fuentes, Pedro Reszka, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 17
Early Detection of Rice Leaf Blast Disease Using Unmanned Aerial Vehicle Remote Sensing: A Novel Approach Integrating a New Spectral Vegetation Index and Machine Learning
Dongxue Zhao, Yingli Cao, Jinpeng Li, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 602-602
Open Access | Times Cited: 8
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