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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:

Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning
Ziheng Feng, Hanwen Guan, Tiancong Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107989-107989
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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
Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning
Jibo Yue, Guijun Yang, Changchun Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109026-109026
Closed Access | Times Cited: 8
Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground”
Wu Nile, Rina Su, Na Mula, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 572-572
Open Access | Times Cited: 1
Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data
Ruiqi Du, Youzhen Xiang, Fucang Zhang, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108856-108856
Open Access | Times Cited: 7
Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages
Qing Liu, Cuicun Wang, Jie Jiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108786-108786
Closed Access | Times Cited: 6
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
Potato late blight severity monitoring based on the relief-mRmR algorithm with dual-drone cooperation
Heguang Sun, Xiaoyu Song, Wei Guo, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108438-108438
Closed Access | Times Cited: 12
Combining canopy spectral reflectance and RGB images to estimate leaf chlorophyll content and grain yield in rice
Zhonglin Wang, Xianming Tan, Yangming Ma, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108975-108975
Closed Access | Times Cited: 4
Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning
Chenbo Yang, Meichen Feng, Juan Bai, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Multi-angular spectroscopic detection of winter wheat nitrogen fertilizer utilization status using integrated feature selection and machine learning
Haiyan Zhang, Li He, Qi‐Wen Chen, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109916-109916
Closed Access
Hormonal regulation and physiological adjustments of wheat and pea plants under simulated lunar soil conditions
Rodrigo A. Contreras, Marisol Pizarro, Gustavo E. Zúñiga, et al.
Physiologia Plantarum (2025) Vol. 177, Iss. 1
Closed Access
UAV−Based Multiple Sensors for Enhanced Data Fusion and Nitrogen Monitoring in Winter Wheat Across Growth Seasons
Jingjing Wang, Wentao Wang, Suyi Liu, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 498-498
Open Access
UAV-based stomatal conductance estimation under water stress using the PROSAIL model coupled with meteorological factors
Ning Yang, Zhitao Zhang, X. F. Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104425-104425
Open Access
Diagnosis alfalfa salt stress based on UAV multispectral image texture and vegetation index
Hong Mā, Wenju Zhao, Haiying Yu, et al.
Plant and Soil (2025)
Closed Access
Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
Ziheng Feng, Jiliang Zhao, Liunan Suo, et al.
The Crop Journal (2025)
Open Access
Estimating crop leaf area index and chlorophyll content using a deep learning-based hyperspectral analysis method
Jibo Yue, Jian Wang, Zhaoying Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109653-109653
Closed Access | Times Cited: 3
Estimation of Anthocyanins in Winter Wheat Based on Band Screening Method and Genetic Algorithm Optimization Models
Huiling Miao, Xiaokai Chen, Yiming Guo, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2324-2324
Open Access | Times Cited: 2
Spectral Detection of Peanut Southern Blight Severity Based on Continuous Wavelet Transform and Machine Learning
Wei Guo, Heguang Sun, Hongbo Qiao, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1504-1504
Open Access | Times Cited: 5
Effects of chlorophyll fluorescence on environment and gross primary productivity of moso bamboo during the leaf-expansion stage
Yanxin Xu, Huaqiang Du, Fangjie Mao, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121185-121185
Open Access | Times Cited: 1
Spectral-Frequency Conversion Derived from Hyperspectral Data Combined with Deep Learning for Estimating Chlorophyll Content in Rice
Lei Du, Shanjun Luo
Agriculture (2024) Vol. 14, Iss. 7, pp. 1186-1186
Open Access | Times Cited: 1
Evaluation of crop water stress index of wheat by using machine learning models
Aditi Yadav, Likith Muni Narakala, Hitesh Upreti, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
Quantitative Analysis of Vertical and Temporal Variations in the Chlorophyll Content of Winter Wheat Leaves via Proximal Multispectral Remote Sensing and Deep Transfer Learning
Changsai Zhang, Yi Yuan, Shuxia Zhang, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1685-1685
Open Access | Times Cited: 1
Hyperspectral Estimation of Leaf Nitrogen Content in White Radish Based on Feature Selection and Integrated Learning
Yafeng Li, Xingang Xu, Wenbiao Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4479-4479
Open Access | Times Cited: 1
Chlorophyll Fluorescence Explains More than 70% of Moso Bamboo Forests Productivity Variations During the Leaf-Expansion Stage
Yanxin Xu, Huaqiang Du, Fangjie Mao, et al.
(2024)
Closed Access
Chlorophyll Fluorescence of Moso Bamboo at the Leaf-Expansion Stage in Response to the Environment and its Effect on Gross Primary Productivity
Yanxin Xu, Huaqiang Du, Fangjie Mao, et al.
(2024)
Closed Access
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