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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:

Sugarcane Nitrogen Concentration and Irrigation Level Prediction Based on UAV Multispectral Imagery
Xiuhua Li, Yuxuan Ba, Muqing Zhang, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2711-2711
Open Access | Times Cited: 21

Showing 21 citing articles:

Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey
Imran Zualkernan, Diaa Addeen Abuhani, Maya Haj Hussain, et al.
Drones (2023) Vol. 7, Iss. 6, pp. 382-382
Open Access | Times Cited: 22
Walnut Recognition Method for UAV Remote Sensing Images
Mingjie Wu, Lijun Yun, Xue Chen, et al.
Agriculture (2024) Vol. 14, Iss. 4, pp. 646-646
Open Access | Times Cited: 6
High-Precision Mapping of Soil Organic Matter Based on UAV Imagery Using Machine Learning Algorithms
Jingping Zhou, Yaping Xu, Xiaohe Gu, et al.
Drones (2023) Vol. 7, Iss. 5, pp. 290-290
Open Access | Times Cited: 15
Integrated diagnosis and time-series sensitivity evaluation of nutrient deficiencies in medicinal plant (Ligusticum chuanxiong Hort.) based on UAV multispectral sensors
Wenbo Li, Ke Wang, Guiqi Han, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 13
Estimation of Nitrogen Content in Winter Wheat Based on Multi-Source Data Fusion and Machine Learning
Fan Ding, Changchun Li, Weiguang Zhai, et al.
Agriculture (2022) Vol. 12, Iss. 11, pp. 1752-1752
Open Access | Times Cited: 21
A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species
Diogo Castilho, Danilo Tedesco, Carlos Eduardo Hernández, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Mapping Spatial Variability of Sugarcane Foliar Nitrogen, Phosphorus, Potassium and Chlorophyll Concentrations Using Remote Sensing
Ericka Picado Mora, Kerin F. Romero, Muditha K. Heenkenda
Geomatics (2025) Vol. 5, Iss. 1, pp. 3-3
Open Access
Paddy rice traits estimation under varying management strategies using UAV technology
Daniel Muhindo, Joyce J. Lelei, Wivine Munyahali, et al.
Agrosystems Geosciences & Environment (2025) Vol. 8, Iss. 1
Open Access
Precision Agriculture: Temporal and Spatial Modeling of Wheat Canopy Spectral Characteristics
Donghui Zhang, Liang Hou, Liangjie Lv, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 326-326
Open Access
Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review
Ali Mhaned, Mouatassim Salma, Mounia El Haji, et al.
IGI Global eBooks (2025), pp. 213-266
Closed Access
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)
Diogo Castilho Silva, B. E. Madari, Maria da Conceição Santana Carvalho, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Closed Access
CLASSIFICATION OF IRRIGATION MANAGEMENT PRACTICES IN MAIZE HYBRIDS USING MULTISPECTRAL SENSORS AND MACHINE LEARNING TECHNIQUES
João Lucas Gouveia de Oliveira, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, et al.
Engenharia Agrícola (2025) Vol. 45
Open Access
Antioxidant profiling and quality assessment of Lithocarpus polystachyus sweet tea using LC-ECD and LC-MS/MS
Jinfen Zheng, Wei Pan, M.J. Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm
Lepeng Song, Liang Qin, Hui Chen, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 272-272
Open Access | Times Cited: 18
Machine Learning for Precision Agriculture Using Imagery From Unmanned Aerial Vehicles (UAV): A Survey
Imran Zualkernan, Diaa Addeen Abuhani, Maya Hajj Hussain, et al.
(2023)
Open Access | Times Cited: 10
Visualisation of moisture content distribution maps and classification of freshness level of loquats
Qinglong Meng, Shunan Feng, Tao Tan, et al.
Journal of Food Composition and Analysis (2024) Vol. 131, pp. 106265-106265
Closed Access | Times Cited: 3
Quadcopters in Smart Agriculture: Applications and Modelling
Katia Karam, Ali Mansour, Mohamad R. Khaldi, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9132-9132
Open Access | Times Cited: 3
Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine
Xiaoyun Niu, Zhaoying Song, Cong Xu, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 8
Optimizing Nitrogen Estimates in Common Bean Canopies Throughout Key Growth Stages Via Fusion of Spectral and Textural Data from Unmanned Aerial Vehicle Multispectral Imagery
Diogo Castilho Silva, B. E. Madari, Maria da Conceição Santana Carvalho, et al.
(2024)
Closed Access
Assessing Plant Pigmentation Impacts: A Novel Approach Integrating UAV and Multispectral Data to Analyze Atrazine Metabolite Effects from Soil Contamination
Thirasant Boonupara, Patchimaporn Udomkun, Simon Gibson-Poole, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100570-100570
Open Access
Multitemporal UAV study of phenolic compounds in slash pine canopies
Zhaoying Song, Cong Xu, Qifu Luan, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114454-114454
Closed Access
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