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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:

Combining plant height, canopy coverage and vegetation index from UAV-based RGB images to estimate leaf nitrogen concentration of summer maize
Junsheng Lu, Dongling Cheng, Chenming Geng, et al.
Biosystems Engineering (2020) Vol. 202, pp. 42-54
Closed Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
Lang Qiao, Weijie Tang, Dehua Gao, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106775-106775
Closed Access | Times Cited: 144
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Boubacar Gano, Sourav Bhadra, Justin M. Vilbig, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 20
Advances in optical phenotyping of cereal crops
Dawei Sun, Kelly R. Robbins, Nicolás Morales, et al.
Trends in Plant Science (2021) Vol. 27, Iss. 2, pp. 191-208
Closed Access | Times Cited: 82
Combining UAV multispectral imagery and ecological factors to estimate leaf nitrogen and grain protein content of wheat
Zhaopeng Fu, Shanshan Yu, Jiayi Zhang, et al.
European Journal of Agronomy (2021) Vol. 132, pp. 126405-126405
Closed Access | Times Cited: 67
Retrieving SPAD Values of Summer Maize Using UAV Hyperspectral Data Based on Multiple Machine Learning Algorithm
Bilige Sudu, Guangzhi Rong, Suri Guga, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5407-5407
Open Access | Times Cited: 47
The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing
Bin Yang, Wanxue Zhu, Ehsan Eyshi Rezaei, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1559-1559
Open Access | Times Cited: 46
Combining Spectral and Textural Information from UAV RGB Images for Leaf Area Index Monitoring in Kiwifruit Orchard
Youming Zhang, Na Ta, Song Guo, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1063-1063
Open Access | Times Cited: 40
A spectral decomposition method for estimating the leaf nitrogen status of maize by UAV-based hyperspectral imaging
Meiyan Shu, Zhu Jinyu, Yang XiaoHong, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108100-108100
Closed Access | Times Cited: 27
Assessment of vineyard vigour and yield spatio-temporal variability based on UAV high resolution multispectral images
Massimo Vincenzo Ferro, Pietro Catania, Daniele Miccichè, et al.
Biosystems Engineering (2023) Vol. 231, pp. 36-56
Open Access | Times Cited: 24
UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs
Ocident Bongomin, Jimmy Lamo, Joshua Mugeziaubwa Guina, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12
Estimating maize plant height using a crop surface model constructed from UAV RGB images
Yaxiao Niu, Wenting Han, Huihui Zhang, et al.
Biosystems Engineering (2024) Vol. 241, pp. 56-67
Closed Access | Times Cited: 9
Accurate Plant Height Estimation in Pulse Crops through Integration of LiDAR, Multispectral Information, and Machine Learning
Aliasghar Bazrafkan, Hannah Worral, Nonoy Bandillo, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101517-101517
Closed Access | Times Cited: 1
Estimating Leaf Nitrogen Content in Corn Based on Information Fusion of Multiple-Sensor Imagery from UAV
Xingang Xu, Lingling Fan, Zhenhai Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 340-340
Open Access | Times Cited: 55
An assessment of background removal approaches for improved estimation of rice leaf nitrogen concentration with unmanned aerial vehicle multispectral imagery at various observation times
Wenhui Wang, Hengbiao Zheng, Yapeng Wu, et al.
Field Crops Research (2022) Vol. 283, pp. 108543-108543
Closed Access | Times Cited: 38
Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices
Yiguang Fan, Haikuan Feng, Xiuliang Jin, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 36
Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Juan Sebastián Estrada, Andrés Fuentes, Pedro Reszka, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 20
Comparison of the performance of Multi-source Three-dimensional structural data in the application of monitoring maize lodging
Xueqian Hu, Xiaohe Gu, Qian Sun, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107782-107782
Closed Access | Times Cited: 18
UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Jingzhe Wang, Silu Zhang, Iván Lizaga, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109501-109501
Closed Access | Times Cited: 8
UAV-Based Thermal, RGB Imaging and Gene Expression Analysis Allowed Detection of Fusarium Head Blight and Gave New Insights Into the Physiological Responses to the Disease in Durum Wheat
Sara Francesconi, Antoine Harfouche, Mauro Maesano, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 40
Estimation of nitrogen content in wheat using indices derived from RGB and thermal infrared imaging
Rui Li, Dunliang Wang, Bo Zhu, et al.
Field Crops Research (2022) Vol. 289, pp. 108735-108735
Closed Access | Times Cited: 26
Estimation of Wheat Plant Height and Biomass by Combining UAV Imagery and Elevation Data
Dunliang Wang, Rui Li, Bo Zhu, et al.
Agriculture (2022) Vol. 13, Iss. 1, pp. 9-9
Open Access | Times Cited: 24
Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods
Yiguang Fan, Haikuan Feng, Jibo Yue, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 602-602
Open Access | Times Cited: 16
Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass
Robin Kümmerer, Patrick Noack, B. L. Bauer
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1520-1520
Open Access | Times Cited: 16
Improving chlorophyll content detection to suit maize dynamic growth effects by deep features of hyperspectral data
Ruomei Zhao, Lulu An, Weijie Tang, et al.
Field Crops Research (2023) Vol. 297, pp. 108929-108929
Closed Access | Times Cited: 15
Maize Ear Height and Ear–Plant Height Ratio Estimation with LiDAR Data and Vertical Leaf Area Profile
Han Wang, Wangfei Zhang, Guijun Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 964-964
Open Access | Times Cited: 14
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