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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 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: 10

Showing 10 citing articles:

Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach
Marcelo Rodrigues Barbosa Júnior, Lucas de Azevedo Sales, Regimar Garcia dos Santos, et al.
Smart Agricultural Technology (2025), pp. 100808-100808
Open Access
Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones
Ziheng Feng, Jiaxiang Cai, Ke Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110120-110120
Closed Access
Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model
Yonglin Jia, Li Yi, Asim Biswas, et al.
Resources Environment and Sustainability (2025), pp. 100200-100200
Open Access
A novel vegetation index for monitoring the stress levels of pest caused by dusky cotton bug
Hailin Yu, Lianbin Hu, Wenhao Cui, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110221-110221
Closed Access
Transfer learning for enhancing the generality of leaf spectroscopic models in estimating crop foliar nutrients across growth stages
Yurong Huang, Wenqian Chen, Wei Tan, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104481-104481
Closed Access
Evaluation of crop water status using UAV-based images data with a model updating strategy
Ning Yang, Zhitao Zhang, Xiaofei Yang, et al.
Agricultural Water Management (2025) Vol. 312, pp. 109445-109445
Open Access
Effects of Variety and Growth Stage on UAV Multispectral Estimation of Plant Nitrogen Content of Winter Wheat
Meiyan Shu, Zhiyi Wang, Wei Guo, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1775-1775
Open Access | Times Cited: 1
Estimating Rice Leaf Nitrogen Content and Field Distribution Using Machine Learning with Diverse Hyperspectral Features
Ting Tian, Jianliang Wang, Yueyue Tao, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2760-2760
Open Access | Times Cited: 1
Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (Annona squamosa L.)
Xiangtai Jiang, Lutao Gao, Xingang Xu, et al.
Agronomy (2024) Vol. 15, Iss. 1, pp. 38-38
Open Access | Times Cited: 1
Utilizing VSWIR spectroscopy for macronutrient and micronutrient profiling in winter wheat
Andrew C. Gill, Srishti Gaur, Clay Sneller, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
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