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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:

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

Showing 1-25 of 43 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
Understanding bark beetle outbreaks: exploring the impact of changing temperature regimes, droughts, forest structure, and prospects for future forest pest management
Vivek Vikram Singh, Aisha Naseer, Kanakachari Mogilicherla, et al.
Reviews in Environmental Science and Bio/Technology (2024) Vol. 23, Iss. 2, pp. 257-290
Open Access | Times Cited: 17
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: 14
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: 8
Effects of sanitation logging in winter on the Eurasian spruce bark beetle and predatory long-legged flies
Jan Weslien, Petter Öhrn, Olle Rosenberg, et al.
Forest Ecology and Management (2024) Vol. 554, pp. 121665-121665
Open Access | Times Cited: 7
Spatial, spectral and temporal insights: harnessing high-resolution satellite remote sensing and artificial intelligence for early monitoring of wood boring pests in forests
Deepak Kumar Mahanta, Tanmaya Kumar Bhoi, J. Komal, et al.
Plant Stress (2024) Vol. 11, pp. 100381-100381
Open Access | Times Cited: 7
Kernel-Based Early Detection of Forest Bark Beetle Attack Using Vegetation Indices Time Series of Sentinel-2
Sadegh Jamali, Per‐Ola Olsson, Mitro Müller, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 12868-12877
Open Access | Times Cited: 6
Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images
Emma Turkulainen, Eija Honkavaara, Roope Näsi, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4928-4928
Open Access | Times Cited: 15
Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline
Langning Huo, Niko Koivumäki, Raquel Alves de Oliveira, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 216, pp. 200-216
Open Access | Times Cited: 5
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
Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle
Langning Huo, Niko Koivumäki, Roope Näsi, et al.
International Journal of Remote Sensing (2025), pp. 1-13
Open Access
A Monitoring Method for Pine Wilt Disease Infected Discolored and Deceased Pine Trees Removal Information based on DDPTnet Network and Bi-temporal UAV Imagery
Xiaocheng Zhou, Hongsong Zeng, Pai Wang, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101530-101530
Closed Access
Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging
Matúš Pivovar, Roope Näsi, Eija Honkavaara, et al.
Forest Ecology and Management (2025) Vol. 586, pp. 122692-122692
Open Access
Identification of Larch Caterpillar Infestation Severity Based on Unmanned Aerial Vehicle Multispectral and LiDAR Features
Sa He-Ya, Xiao‐Jun Huang, Debao Zhou, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 191-191
Open Access | Times Cited: 4
Drone-based early detection of bark beetle infested spruce trees differs in endemic and epidemic populations
A. Bozzini, Stefano Brugnaro, G. Morgante, et al.
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access | Times Cited: 4
Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery
Caroline R. Kanaskie, M. Routhier, Benjamin T. Fraser, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2608-2608
Open Access | Times Cited: 4
Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images
Langning Huo, Iryna Matsiakh, Jonas Bohlin, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 271-271
Open Access
Analyzing the environmental risk factors of European spruce bark beetle damage at the local scale
Langning Huo, Henrik Persson, Eva Lindberg
European Journal of Forest Research (2024) Vol. 143, Iss. 3, pp. 985-1000
Open Access | Times Cited: 3
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
Physically based illumination correction for sub-centimeter spatial resolution hyperspectral data
Olli Ihalainen, Jussi Juola, Matti Mõttus
Remote Sensing of Environment (2023) Vol. 298, pp. 113810-113810
Open Access | Times Cited: 7
A method for continuous sub-annual mapping of forest disturbances using optical time series
Daniele Marinelli, Michele Dalponte, Lorenzo Frizzera, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113852-113852
Open Access | Times Cited: 7
Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation
Heguang Sun, Lin Zhou, Meiyan Shu, et al.
Agriculture (2024) Vol. 14, Iss. 3, pp. 476-476
Open Access | Times Cited: 2
Large-scale wall-to-wall mapping of bark beetle damage and forest practices using the distance red swir index and operational harvester data
Henrik Persson, Simon Kärvemo, Eva Lindberg, et al.
Ecological Indicators (2024) Vol. 162, pp. 112036-112036
Open Access | Times Cited: 2
Early detection of bark beetle infestation using UAV-borne multispectral imagery: a case study on the spruce forest in the Czech Republic
Tomáš Klouček, Roman Modlinger, Markéta Zikmundová, et al.
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access | Times Cited: 2
Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images
Langning Huo, R YU, Eva Lindberg, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 11, pp. 5218-5221
Closed Access | Times Cited: 2
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