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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:

An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives
Yuanyuan Fu, Guijun Yang, Ruiliang Pu, et al.
European Journal of Agronomy (2021) Vol. 124, pp. 126241-126241
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Computer vision in smart agriculture and precision farming: Techniques and applications
Sumaira Ghazal, Arslan Munir, Waqar S. Qureshi
Artificial Intelligence in Agriculture (2024) Vol. 13, pp. 64-83
Open Access | Times Cited: 32
Automatic fruit picking technology: a comprehensive review of research advances
Jun Zhang, Ningbo Kang, Qianjin Qu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 26
Nondestructive Quantitative Measurement for Precision Quality Control in Additive Manufacturing Using Hyperspectral Imagery and Machine Learning
Yijun Yan, Jinchang Ren, He Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 9963-9975
Open Access | Times Cited: 18
A Review of Crop Water Stress Assessment Using Remote Sensing
Uzair Ahmad, A. Alvino, Stefano Marino
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4155-4155
Open Access | Times Cited: 89
A Research Road Map for Responsible Use of Agricultural Nitrogen
Michael K. Udvardi, Frederick E. Below, Michael J. Castellano, et al.
Frontiers in Sustainable Food Systems (2021) Vol. 5
Open Access | Times Cited: 77
Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling
Sheng Wang, Kaiyu Guan, Zhihui Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102617-102617
Open Access | Times Cited: 61
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits
Meiyan Shu, Shuaipeng Fei, Bingyu Zhang, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 55
Remote Sensing Monitoring of Rice and Wheat Canopy Nitrogen: A Review
Jie Zheng, Xiaoyu Song, Guijun Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5712-5712
Open Access | Times Cited: 39
Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images
Meiyan Shu, Dong Qizhou, Shuaipeng Fei, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106982-106982
Closed Access | Times Cited: 38
Using the plant height and canopy coverage to estimation maize aboveground biomass with UAV digital images
Meiyan Shu, Qing Li, Abu Zar Ghafoor, et al.
European Journal of Agronomy (2023) Vol. 151, pp. 126957-126957
Closed Access | Times Cited: 38
Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring
Haibo Yang, Hang Yin, Fei Li, et al.
Field Crops Research (2023) Vol. 293, pp. 108844-108844
Closed Access | Times Cited: 34
Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model
Jiating Li, Nuwan K. Wijewardane, Yufeng Ge, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107669-107669
Open Access | Times Cited: 28
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: 26
Hyperspectral estimation of wheat stripe rust using fractional order differential equations and Gaussian process methods
Jie Zhang, Xia Jing, Xiaoyu Song, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107671-107671
Open Access | Times Cited: 24
Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing
Yuanyuan Pan, Wenxuan Wu, Jiawen Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107769-107769
Closed Access | Times Cited: 23
Crop water stress detection based on UAV remote sensing systems
Hao Dong, Jiahui Dong, Shikun Sun, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109059-109059
Open Access | Times Cited: 15
Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis
Shaohua Zhang, Jianzhao Duan, Xinghui Qi, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109022-109022
Closed Access | Times Cited: 12
Nitrogen retrieval in grapevine (Vitis vinifera L.) leaves by hyperspectral sensing
Sirapoom Peanusaha, Alireza Pourreza, Yuto Kamiya, et al.
Remote Sensing of Environment (2024) Vol. 302, pp. 113966-113966
Open Access | Times Cited: 11
A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
Riqiang Chen, Wenping Liu, Hao Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108816-108816
Closed Access | Times Cited: 11
Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables
Yiguang Fan, Yang Liu, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109117-109117
Closed Access | Times Cited: 11
Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 9
Assessing wheat genotype response under combined nitrogen and water stress scenarios coupling high-resolution optical and thermal sensors with radiative transfer models
M.D. Raya-Sereno, C. Camino, J.L. Pancorbo, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127102-127102
Open Access | Times Cited: 8
Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information with machine learning
Xiaokai Chen, Fenling Li, Qingrui Chang, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110072-110072
Closed Access | Times Cited: 1
Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing
Falv Wang, Jingcheng Zhang, Wei Li, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Open Access | Times Cited: 1
Deep learning assisted continuous wavelet transform-based spectrogram for the detection of chlorophyll content in potato leaves
Ruomei Zhao, Lulu An, Weijie Tang, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106802-106802
Closed Access | Times Cited: 37
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