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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:

Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach
Lukas Roth, Bernhard Streit
Precision Agriculture (2017) Vol. 19, Iss. 1, pp. 93-114
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
Jibo Yue, Guijun Yang, Qingjiu Tian, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 150, pp. 226-244
Closed Access | Times Cited: 335
Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery
Hengbiao Zheng, Tao Cheng, Meng Zhou, et al.
Precision Agriculture (2018) Vol. 20, Iss. 3, pp. 611-629
Closed Access | Times Cited: 249
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
Xiuliang Jin, Pablo J. Zarco‐Tejada, Urs Schmidhalter, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 200-231
Open Access | Times Cited: 222
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Ning Lu, Jie Zhou, Zixu Han, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 184
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review
Krishna Prasad Neupane, Fulya Baysal-Gurel
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3841-3841
Open Access | Times Cited: 140
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data
Zhenhai Li, Yu Zhao, James A. Taylor, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112967-112967
Open Access | Times Cited: 81
Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 72
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives
Linyuan Li, Xihan Mu, Hailan Jiang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 133-156
Closed Access | Times Cited: 57
A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV
Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Christoph Hütt, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 639-639
Open Access | Times Cited: 47
Unmanned Aircraft System (UAS) Technology and Applications in Agriculture
Samuel C. Hassler, Fulya Baysal-Gurel
Agronomy (2019) Vol. 9, Iss. 10, pp. 618-618
Open Access | Times Cited: 145
A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems
Lucy G. Poley, Gregory J. McDermid
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 120
Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging
Esther Grüner, Thomas Astor, M. Wachendorf
Agronomy (2019) Vol. 9, Iss. 2, pp. 54-54
Open Access | Times Cited: 108
Clustering Field-Based Maize Phenotyping of Plant-Height Growth and Canopy Spectral Dynamics Using a UAV Remote-Sensing Approach
Liang Han, Guijun Yang, Hao Yang, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 101
Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices
Ulrike Lussem, Andreas Bolten, J. Menne, et al.
Journal of Applied Remote Sensing (2019) Vol. 13, Iss. 03, pp. 1-1
Open Access | Times Cited: 92
Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers – From theory to application
Helge Aasen, Andreas Bolten
Remote Sensing of Environment (2017) Vol. 205, pp. 374-389
Closed Access | Times Cited: 90
Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery
Lang Qiao, Dehua Gao, Ruomei Zhao, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106603-106603
Closed Access | Times Cited: 88
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
Giuseppe Modica, Gaetano Messina, Giandomenico De Luca, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105500-105500
Closed Access | Times Cited: 86
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data
Akash Ashapure, Jinha Jung, Anjin Chang, et al.
Remote Sensing (2019) Vol. 11, Iss. 23, pp. 2757-2757
Open Access | Times Cited: 78
Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
Ning Lu, Wenhui Wang, Qiaofeng Zhang, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 77
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework
Sungchan Oh, Anjin Chang, Akash Ashapure, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2981-2981
Open Access | Times Cited: 74
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa
Tunrayo Alabi, Abush Tesfaye, Godfree Chigeza, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100782-100782
Open Access | Times Cited: 49
Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies
Lei Li, Muhammad Adeel Hassan, Shurong Yang, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1303-1311
Open Access | Times Cited: 42
High-throughput proximal ground crop phenotyping systems – A comprehensive review
Z. Y. Rui, Zhe Zhang, Michael Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109108-109108
Closed Access | Times Cited: 15
RGB Imaging as a Tool for Remote Sensing of Characteristics of Terrestrial Plants: A Review
Anastasiia Kior, Lyubov Yudina, Yuriy Zolin, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1262-1262
Open Access | Times Cited: 12
Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography
Lukas Roth, Helge Aasen, Achim Walter, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 141, pp. 161-175
Open Access | Times Cited: 82
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