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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:

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

Showing 1-25 of 79 citing articles:

Priority list of biodiversity metrics to observe from space
Andrew K. Skidmore, Nicholas C. Coops, Elnaz Neinavaz, et al.
Nature Ecology & Evolution (2021) Vol. 5, Iss. 7, pp. 896-906
Open Access | Times Cited: 193
Deep learning techniques to classify agricultural crops through UAV imagery: a review
Abdelmalek Bouguettaya, Hafed Zarzour, Ahmed Kechida, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 12, pp. 9511-9536
Open Access | Times Cited: 185
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery
David P. Roy, Haiyan Huang, Rasmus Houborg, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112586-112586
Open Access | Times Cited: 184
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, et al.
Ecological Informatics (2023) Vol. 78, pp. 102305-102305
Closed Access | Times Cited: 69
Exploring artificial intelligence for applications of drones in forest ecology and management
Alexander Buchelt, Alexander Adrowitzer, Peter Kieseberg, et al.
Forest Ecology and Management (2023) Vol. 551, pp. 121530-121530
Open Access | Times Cited: 52
Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments
Sampath Boopathi
Advances in electronic government, digital divide, and regional development book series (2024), pp. 15-45
Closed Access | Times Cited: 43
Strengthening Security, Privacy, and Trust in Artificial Intelligence Drones for Smart Cities
R. Sonia, Neha Gupta, K. Manikandan, et al.
Advances in information security, privacy, and ethics book series (2024), pp. 214-242
Closed Access | Times Cited: 34
Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
Zheng Gong, Wenyan Ge, Jiaqi Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 149-164
Closed Access | Times Cited: 23
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
Minkyu Moon, Andrew D. Richardson, M. A. Friedl
Remote Sensing of Environment (2021) Vol. 266, pp. 112716-112716
Open Access | Times Cited: 99
Extraction of Olive Crown Based on UAV Visible Images and the U2-Net Deep Learning Model
Zhangxi Ye, Jiahao Wei, Yuwei Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1523-1523
Open Access | Times Cited: 41
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: 25
From UAV to PlanetScope: Upscaling fractional cover of an invasive species Rosa rugosa
Thaisa Bergamo, Raul Sampaio de Lima, Tiiu Kull, et al.
Journal of Environmental Management (2023) Vol. 336, pp. 117693-117693
Open Access | Times Cited: 25
Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model
Guangqin Song, Jing Wang, Yingyi Zhao, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114027-114027
Closed Access | Times Cited: 11
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong
Sawaid Abbas, Qian Peng, Man Sing Wong, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 177, pp. 204-216
Closed Access | Times Cited: 44
Monitoring Forest Phenology in a Changing World
Ross Gray, Robert M. Ewers
Forests (2021) Vol. 12, Iss. 3, pp. 297-297
Open Access | Times Cited: 43
Estimating 10-m land surface albedo from Sentinel-2 satellite observations using a direct estimation approach with Google Earth Engine
Xingwen Lin, Shengbiao Wu, Бин Чэн, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 1-20
Closed Access | Times Cited: 33
Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
Yingyi Zhao, Calvin K. F. Lee, Zhihui Wang, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113310-113310
Closed Access | Times Cited: 31
Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery
Aaron Aeberli, Stuart Phinn, Kasper Johansen, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 679-679
Open Access | Times Cited: 21
Monitoring canopy-scale autumn leaf phenology at fine-scale using unmanned aerial vehicle (UAV) photography
Wenyan Ge, Xiuxia Li, Linhai Jing, et al.
Agricultural and Forest Meteorology (2023) Vol. 332, pp. 109372-109372
Closed Access | Times Cited: 16
Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems
Yuxia Liu, Xiaoyang Zhang, Yu Shen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 242-259
Closed Access | Times Cited: 6
Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images
Jing Wang, Dedi Yang, Shuli Chen, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112604-112604
Open Access | Times Cited: 37
Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology
Chunyuan Diao, Geyang Li
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1957-1957
Open Access | Times Cited: 23
RETRACTED ARTICLE: A new truck-drone routing problem for parcel delivery by considering energy consumption and altitude
Maryam Momeni, Seyed Mohammad Javad Mirzapour Al-e-Hashem, Ali Heidari
Annals of Operations Research (2023) Vol. 337, Iss. S1, pp. 25-25
Open Access | Times Cited: 13
Sentinel-2 time series: a promising tool in monitoring temperate species spring phenology
Ewa Grabska‐Szwagrzyk, Luiza Tymińska-Czabańska
Forestry An International Journal of Forest Research (2023) Vol. 97, Iss. 2, pp. 267-281
Open Access | Times Cited: 13
A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery
Zehua Huang, Liheng Zhong, Feng Zhao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 397-420
Closed Access | Times Cited: 13
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