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:

Can UAV-Based Infrared Thermography Be Used to Study Plant-Parasite Interactions between Mistletoe and Eucalypt Trees?
Wouter H. Maes, Alfredo Huete, Michele Avino, et al.
Remote Sensing (2018) Vol. 10, Iss. 12, pp. 2062-2062
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

UAV-Based Forest Health Monitoring: A Systematic Review
Simon Ecke, Jan Dempewolf, Julian Frey, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3205-3205
Open Access | Times Cited: 148

Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review
André Duarte, Nuno Borralho, Pedro Cabral, et al.
Forests (2022) Vol. 13, Iss. 6, pp. 911-911
Open Access | Times Cited: 76

Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework
Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, et al.
Forests (2021) Vol. 12, Iss. 3, pp. 327-327
Open Access | Times Cited: 85

Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications
Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, et al.
Forests (2021) Vol. 12, Iss. 4, pp. 397-397
Open Access | Times Cited: 84

A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data
Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4091-4091
Open Access | Times Cited: 63

Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses
Tom De Swaef, Wouter H. Maes, Jonas Aper, et al.
Remote Sensing (2021) Vol. 13, Iss. 1, pp. 147-147
Open Access | Times Cited: 56

An Automatic UAV Based Segmentation Approach for Pruning Biomass Estimation in Irregularly Spaced Chestnut Orchards
Salvatore Filippo Di Gennaro, Carla Nati, Riccardo Dainelli, et al.
Forests (2020) Vol. 11, Iss. 3, pp. 308-308
Open Access | Times Cited: 33

Thermal Infrared Remote Sensing of Stress Responses in Forest Environments: a Review of Developments, Challenges, and Opportunities
Magdalena Śmigaj, Avinash Agarwal, Harm Bartholomeus, et al.
Current Forestry Reports (2023) Vol. 10, Iss. 1, pp. 56-76
Open Access | Times Cited: 12

Orthomosaicking Thermal Drone Images of Forests via Simultaneously Acquired RGB Images
Rudraksh Kapil, Guillermo Castilla, Seyed Mojtaba Marvasti-Zadeh, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2653-2653
Open Access | Times Cited: 11

Practical Guidelines for Performing UAV Mapping Flights with Snapshot Sensors
Wouter H. Maes
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 606-606
Open Access

The use of UAV-based systems in monitoring forest health: Potentials and challenges
Andisiwe Manase, Alen Manyevere, Mohamed A. M. Abd Elbasit, et al.
Scientific African (2025), pp. e02724-e02724
Open Access

Enhanced flight planning and calibration for UAV based thermal imaging: implications for canopy temperature and transpiration analysis
Malkin Gerchow, Kathrin Kühnhammer, Alberto Iraheta, et al.
Frontiers in Forests and Global Change (2025) Vol. 8
Open Access

Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images
Kangni Xiong, Jinbao Jiang, Yingyang Pan, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5322-5322
Open Access | Times Cited: 14

Mitigating the Mistletoe Menace: Biotechnological and Smart Management Approaches
Gaurav Mudgal, Jaspreet Kaur, Kartar Chand, et al.
Biology (2022) Vol. 11, Iss. 11, pp. 1645-1645
Open Access | Times Cited: 13

Detection of mistletoe infected trees using UAV high spatial resolution images
Mojdeh Miraki, Hormoz Sohrabi, Parviz Fatehi, et al.
Journal of Plant Diseases and Protection (2021) Vol. 128, Iss. 6, pp. 1679-1689
Closed Access | Times Cited: 17

Tapping into the physiological responses to mistletoe infection during heat and drought stress
Anne Griebel, Jennifer M. R. Peters, Daniel Metzen, et al.
Tree Physiology (2021) Vol. 42, Iss. 3, pp. 523-536
Closed Access | Times Cited: 16

Using a paired tower approach and remote sensing to assess carbon sequestration and energy distribution in a heterogeneous sclerophyll forest
Anne Griebel, Daniel Metzen, Matthias M. Boer, et al.
The Science of The Total Environment (2019) Vol. 699, pp. 133918-133918
Closed Access | Times Cited: 16

Recovery from Severe Mistletoe Infection After Heat- and Drought-Induced Mistletoe Death
Anne Griebel, Daniel Metzen, Elise Pendall, et al.
Ecosystems (2021) Vol. 25, Iss. 1, pp. 1-16
Closed Access | Times Cited: 14

Calibration and Image Processing of Aerial Thermal Image for UAV Application in Crop Water Stress Estimation
Yunhyeok Han, Barnabas Abraham Tarakey, Suk-Ju Hong, et al.
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 13

Detection of Yunnan Pine Shoot Beetle Stress Using UAV-Based Thermal Imagery and LiDAR
Jingxu Wang, Shengwang Meng, Qi-nan Lin, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4372-4372
Open Access | Times Cited: 8

UAV Remote Sensing: An Innovative Tool for Detection and Management of Rice Diseases
Xin‐Gen Zhou, Dongyan Zhang, Fenfang Lin
IntechOpen eBooks (2021)
Open Access | Times Cited: 10

Genetic Programming Approach for the Detection of Mistletoe Based on UAV Multispectral Imagery in the Conservation Area of Mexico City
Paola Andrea Mejia-Zuluaga, León Dozal, Juan C. Valdiviezo-N
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 801-801
Open Access | Times Cited: 7

Early Detection of Dendroctonus valens Infestation with UAV-Based Thermal and Hyperspectral Images
Peiyun Bi, Linfeng Yu, Quan Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3840-3840
Open Access | Times Cited: 1

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