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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.

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Showing 1-25 of 184 citing articles:

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1357-1357
Open Access | Times Cited: 220
Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation
Songyang Li, Fei Yuan, Syed Tahir Ata-Ul-Karim, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1763-1763
Open Access | Times Cited: 185
How does nitrogen shape plant architecture?
Le Luo, Yali Zhang, Guohua Xu
Journal of Experimental Botany (2020) Vol. 71, Iss. 15, pp. 4415-4427
Open Access | Times Cited: 159
Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery
Yaxiao Niu, Liyuan Zhang, Huihui Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1261-1261
Open Access | Times Cited: 150
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
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2450-2450
Open Access | Times Cited: 119
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
Improved potato AGB estimates based on UAV RGB and hyperspectral images
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108260-108260
Closed Access | Times Cited: 68
Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes
Yang Liu, Fuqin Yang, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109678-109678
Closed Access | Times Cited: 18
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
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
Juanjuan Zhang, Tao Cheng, Wei Guo, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 105
Estimation of corn yield based on hyperspectral imagery and convolutional neural network
Wei Yang, Tyler J. Nigon, Ziyuan Hao, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106092-106092
Open Access | Times Cited: 104
High night temperature effects on wheat and rice: Current status and way forward
Somayanda M. Impa, Raju Bheemanahalli, Nathan T. Hein, et al.
Plant Cell & Environment (2021) Vol. 44, Iss. 7, pp. 2049-2065
Open Access | Times Cited: 102
Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods
Jiayi Zhang, Xiaolei Qiu, Yueting Wu, et al.
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106138-106138
Closed Access | Times Cited: 95
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis
Yuanyuan Fu, Guijun Yang, Xiaoyu Song, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 581-581
Open Access | Times Cited: 93
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms
Zhengchao Qiu, Fei Ma, Zhenwang Li, et al.
Computers and Electronics in Agriculture (2021) Vol. 189, pp. 106421-106421
Closed Access | Times Cited: 88
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
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation
Leonardo Volpato, Francisco Pinto, Lorena González-Pérez, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 87
Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest
Kasper Johansen, Mitchell J. L. Morton, Yoann Malbéteau, et al.
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 85
Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle
Sumesh K.C., Sarawut Ninsawat, Jaturong Som-ard
Computers and Electronics in Agriculture (2020) Vol. 180, pp. 105903-105903
Closed Access | Times Cited: 85
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
Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn
Xinbing Wang, Yuxin Miao, Rui Dong, et al.
European Journal of Agronomy (2020) Vol. 123, pp. 126193-126193
Closed Access | Times Cited: 75
Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
Falv Wang, Mao Yang, Longfei Ma, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1251-1251
Open Access | Times Cited: 61
Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning
Prakriti Sharma, Larry Leigh, Jiyul Chang, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 601-601
Open Access | Times Cited: 59
An improved approach to estimate above-ground volume and biomass of desert shrub communities based on UAV RGB images
Peng Mao, Longjun Qin, Mengyu Hao, et al.
Ecological Indicators (2021) Vol. 125, pp. 107494-107494
Open Access | Times Cited: 57
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