Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 14 citing articles:

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: 14
Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses
Hao Liu, Junying Chen, Youzhen Xiang, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127299-127299
Closed Access | Times Cited: 5
New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
Bianca Cavalcante da Silva, Renato de Mello Prado, Fábio Henrique Rojo Baio, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101110-101110
Closed Access | Times Cited: 11
Micro-ridge-furrow planting increases rapeseed yield and resource utilization efficiency through optimizing field microenvironment and light-nitrogen matching
Xianling Wang, Lin Li, Chunyun Wang, et al.
The Crop Journal (2025)
Open Access
NTRI: A novel spectral index for developing a precise nitrogen diagnosis model across pre- and post-anthesis stages of maize plants
Yanqiong Tang, Fei Li, Yuncai Hu, et al.
Field Crops Research (2025) Vol. 325, pp. 109829-109829
Closed Access
Accurate estimation of winter-wheat leaf water content using continuous wavelet transform-based hyperspectral combined with thermal infrared on a UAV platform
Ning Yang, Zhitao Zhang, Junrui Zhang, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127624-127624
Closed Access
Estimation of the vertical attenuation coefficient of nitrogen in cotton canopy using polarized multiple-angle vegetation index
Jingang Wang, Haijiang Wang, Xin Lv, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127653-127653
Closed Access
Monitoring the Nitrogen Nutrition Index Using Leaf-Based Hyperspectral Reflectance in Cut Chrysanthemums
Yin Wu, Jingshan Lu, Huahao Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3062-3062
Open Access | Times Cited: 2
Growth, physiological, and temperature characteristics in chinese cabbage pakchoi as affected by Cd- stressed conditions and identifying its main controlling factors using PLS model
Lantao Li, Binglin Guo, Chenchen Feng, et al.
BMC Plant Biology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Prediction of vertical distribution of SPAD values within maize canopy based on unmanned aerial vehicles multispectral imagery
Bo Chen, Guanmin Huang, Xianju Lu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Xiaomei Zhang, Xiaoxiang Hou, Yiming Su, et al.
Chemical and Biological Technologies in Agriculture (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Estimating leaf nitrogen accumulation considering vertical heterogeneity using multi-angular UAV remote sensing in wheat
Yuanyuan Pan, Jingyu Li, Jiayi Zhang, et al.
Plant Phenomics (2024) Vol. 6
Open Access
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
X. M. Zhang, Xiaoxiang Hou, Yiming Su, et al.
Research Square (Research Square) (2023)
Open Access
Growth, Physiological, and Temperature Characteristics in Chinese Cabbage as Affected by Cd- Stressed Conditions and Identifying its Main Controlling Factors Using Pls Model
Lantao Li, Binglin Guo, Chenchen Feng, et al.
SSRN Electronic Journal (2022)
Closed Access
New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
Bianca Cavalcante Silva, Renato de Mello Prado, Fábio Henrique Rojo Baio, et al.
Research Square (Research Square) (2022)
Open Access
Page 1

Scroll to top