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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:

Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model
Alwaseela Abdalla, Haiyan Cen, Liang Wan, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 6, pp. 4379-4389
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Deep learning based computer vision approaches for smart agricultural applications
V. G. Dhanya, A. Subeesh, Nand Lal Kushwaha, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 211-229
Open Access | Times Cited: 155
A Review of Deep Learning in Multiscale Agricultural Sensing
Dashuai Wang, Wujing Cao, Fan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 559-559
Open Access | Times Cited: 137
Advances in optical phenotyping of cereal crops
Dawei Sun, Kelly R. Robbins, Nicolás Morales, et al.
Trends in Plant Science (2021) Vol. 27, Iss. 2, pp. 191-208
Closed Access | Times Cited: 80
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Liang Wan, Weijun Zhou, Yong He, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112826-112826
Closed Access | Times Cited: 77
Ensemble Averaging of Transfer Learning Models for Identification of Nutritional Deficiency in Rice Plant
Mayuri Sharma, Keshab Nath, Rupam Sharma, et al.
Electronics (2022) Vol. 11, Iss. 1, pp. 148-148
Open Access | Times Cited: 55
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing
Zhuangzhuang Sun, Qing Li, Shichao Jin, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 52
Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning
Md. Simul Hasan Talukder, Ajay Krishno Sarkar
Smart Agricultural Technology (2022) Vol. 4, pp. 100155-100155
Open Access | Times Cited: 47
Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics
Mohamed Farag Taha, Alwaseela Abdalla, Gamal ElMasry, et al.
Chemosensors (2022) Vol. 10, Iss. 2, pp. 45-45
Open Access | Times Cited: 45
A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship
Soumitra Nath
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 1126-1143
Closed Access | Times Cited: 24
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
Feng Yu, Qian Zhang, Jun Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2988-2988
Open Access | Times Cited: 23
Computer Vision-Based Smart Monitoring and Control System for Crop
Ajay Sharma, Rajneesh Kumar Patel, Pranshu Pranjal, et al.
(2024), pp. 65-82
Closed Access | Times Cited: 13
Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model
Alwaseela Abdalla, Terry A. Wheeler, Jane K. Dever, et al.
Biosystems Engineering (2024) Vol. 237, pp. 220-231
Closed Access | Times Cited: 12
High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images
Mohamed Farag Taha, Hanping Mao, Yafei Wang, et al.
Plants (2024) Vol. 13, Iss. 3, pp. 392-392
Open Access | Times Cited: 11
PhenoNet: A two-stage lightweight deep learning framework for real-time wheat phenophase classification
Ruinan Zhang, Shichao Jin, Yuanhao Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 136-157
Closed Access | Times Cited: 10
An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower
Luana Centorame, Thomas Gasperini, Alessio Ilari, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 719-719
Open Access | Times Cited: 9
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 7
A model for phenotyping crop fractional vegetation cover using imagery from unmanned aerial vehicles
Liang Wan, Jiangpeng Zhu, Xiaoyue Du, et al.
Journal of Experimental Botany (2021) Vol. 72, Iss. 13, pp. 4691-4707
Open Access | Times Cited: 39
Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning
Yueming Zhu, Alwaseela Abdalla, Zheng Tang, et al.
Biosystems Engineering (2022) Vol. 219, pp. 165-176
Closed Access | Times Cited: 27
Monitoring the photosynthetic performance of grape leaves using a hyperspectral-based machine learning model
Zhenfeng Yang, Juncang Tian, Zhi Wang, et al.
European Journal of Agronomy (2022) Vol. 140, pp. 126589-126589
Closed Access | Times Cited: 26
Comprehensive wheat lodging detection after initial lodging using UAV RGB images
Afshin Azizi, Zhao Zhang, Zhaoyu Rui, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121788-121788
Closed Access | Times Cited: 13
Optical imaging combined with artificial intelligence in plant disease detection: a comprehensive review
Wei Zhuo, Yixue Jiang, Hongtao Liu
Spectroscopy Letters (2025), pp. 1-25
Closed Access
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera
Xiaowen Teng, Guangsheng Zhou, Yuxuan Wu, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4628-4628
Open Access | Times Cited: 27
Prediction of Strawberry Leaf Color Using RGB Mean Values Based on Soil Physicochemical Parameters Using Machine Learning Models
Bolappa Gamage Kaushalya Madhavi, Jayanta Kumar Basak, Bhola Paudel, et al.
Agronomy (2022) Vol. 12, Iss. 5, pp. 981-981
Open Access | Times Cited: 20
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