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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:

Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements
Ran Meng, Philip E. Dennison, Feng Zhao, et al.
Remote Sensing of Environment (2018) Vol. 215, pp. 170-183
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour
Matthew G. Gale, Geoffrey J. Cary, Albert I. J. M. van Dijk, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112282-112282
Closed Access | Times Cited: 127
Remote sensing of land change: A multifaceted perspective
Zhe Zhu, Shi Qiu, Su Ye
Remote Sensing of Environment (2022) Vol. 282, pp. 113266-113266
Open Access | Times Cited: 119
Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging
Yuri Shendryk, Jeremy Sofonia, Robert Garrard, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102177-102177
Open Access | Times Cited: 118
Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem
Aaron Kamoske, Kyla M. Dahlin, Scott C. Stark, et al.
Forest Ecology and Management (2018) Vol. 433, pp. 364-375
Open Access | Times Cited: 94
A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level
Runsheng Yu, Youqing Luo, Quan Zhou, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102363-102363
Open Access | Times Cited: 87
Tree vitality indicators revealed a rapid response of beech forests to the 2018 drought
Brigitte Rohner, Simpal Kumar, Katharina Liechti, et al.
Ecological Indicators (2020) Vol. 120, pp. 106903-106903
Open Access | Times Cited: 86
Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar
Qinan Lin, Huaguo Huang, Jingxu Wang, et al.
Remote Sensing (2019) Vol. 11, Iss. 21, pp. 2540-2540
Open Access | Times Cited: 80
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
Shengbiao Wu, Jing Wang, Zhengbing Yan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 36-48
Open Access | Times Cited: 79
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
Feng Zhao, Rui Sun, Liheng Zhong, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112822-112822
Closed Access | Times Cited: 77
Recent advances in the remote sensing of insects
Marcus W. Rhodes, Jonathan Bennie, Adrian Spalding, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2021) Vol. 97, Iss. 1, pp. 343-360
Open Access | Times Cited: 70
Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
Guillaume Lassalle
The Science of The Total Environment (2021) Vol. 788, pp. 147758-147758
Closed Access | Times Cited: 68
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
Jing Wang, Guangqin Song, Michael J. Liddell, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113429-113429
Open Access | Times Cited: 26
Consistent patterns of LiDAR-derived measures of savanna vegetation complexity between wet and dry seasons
Zhengyang Wang, Jenia Singh, Andrew B. Davies
Ecological Indicators (2025) Vol. 170, pp. 113061-113061
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
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
Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method
Longfei Zhou, Ran Meng, Xing Yu, et al.
Rice Science (2023) Vol. 30, Iss. 3, pp. 247-256
Open Access | Times Cited: 18
Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China
Mengyu Wang, Yi Zheng, Chengquan Huang, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100032-100032
Open Access | Times Cited: 26
Real-time monitoring of insects based on laser remote sensing
Yihao Wang, Chunjiang Zhao, Daming Dong, et al.
Ecological Indicators (2023) Vol. 151, pp. 110302-110302
Open Access | Times Cited: 15
Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation
Peter Boucher, Steven Hancock, David A. Orwig, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1304-1304
Open Access | Times Cited: 37
Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy
T. Ryan McCarley, Andrew T. Hudak, Aaron M. Sparks, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112114-112114
Open Access | Times Cited: 34
Landsat-based monitoring of southern pine beetle infestation severity and severity change in a temperate mixed forest
Ran Meng, Renjie Gao, Feng Zhao, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112847-112847
Closed Access | Times Cited: 30
Using the 3D model RAPID to invert the shoot dieback ratio of vertically heterogeneous Yunnan pine forests to detect beetle damage
Qinan Lin, Huaguo Huang, Ling Chen, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112475-112475
Closed Access | Times Cited: 29
A Systematic Review of the Application of Remote Sensing Technologies in Mapping Forest Insect Pests and Diseases at a Tree-Level.
Mthembeni Mngadi, Ilaria Germishuizen, Onisimo Mutanga, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101341-101341
Closed Access | Times Cited: 4
Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data
A. Hornero, Peter North, Pablo J. Zarco‐Tejada, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112195-112195
Open Access | Times Cited: 31
Remote sensing application in plant protection and its usage in smart agriculture to hasten decision making of the farmers
R. Sathya Priya, N. Jagathjothi, M. Yuvaraj, et al.
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 2
Closed Access
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