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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:

A review on the application of computer vision and machine learning in the tea industry
Huajia Wang, Jinan Gu, Mengni Wang
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The dawn of intelligent technologies in tea industry
Yang Wei, Yongqi Wen, Xiaolin Huang, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104337-104337
Closed Access | Times Cited: 29
Application of Experimental, Numerical, and Machine Learning Techniques to Improve Drying Performance and Decrease Energy Consumption Infrared Continuous Dryer
Hany S. El‐Mesery, Mohamed Qenawy, Ahmed H. ElMesiry, et al.
Case Studies in Thermal Engineering (2025), pp. 106025-106025
Open Access | Times Cited: 1
An RGB‐D object detection model with high‐generalization ability applied to tea harvesting robot for outdoor cross‐variety tea shoots detection
Yanxu Wu, Jianneng Chen, Leiying He, et al.
Journal of Field Robotics (2024) Vol. 41, Iss. 4, pp. 1167-1186
Closed Access | Times Cited: 5
Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review
Kai Yu, Mingming Zhong, Wenjing Zhu, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 386-386
Open Access
Classification and Identification with Health Benefit Assessment and Nutrient Profile of Brewed Tea Utilizing Computer Vision with ML and DL and Sensory Approaches
Sandeep Gera, Paras Chawla, Rajpreet Singh
Communications in computer and information science (2025), pp. 221-240
Closed Access
Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics
Quan Bu, Jianmei Bai, Bo Wang, et al.
Waste Management (2025) Vol. 200, pp. 114748-114748
Closed Access
Enhancing green guava segmentation with texture consistency loss and reverse attention mechanism under complex background
Junshu Wang, Yang Guo, Xinjie Tan, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110308-110308
Closed Access
Foundation Models in Agriculture: A Comprehensive Review
Shanbing Yin, Yongming Xi, Xun Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 8, pp. 847-847
Open Access
Localization of Tea Shoots for Robotic Plucking Using Binocular Stereo Vision
Leiying He, Qiubing Zhuang, Yatao Li, et al.
Journal of Field Robotics (2025)
Closed Access
A Comprehensive Review of Digital Twins Technology in Agriculture
R. H. Zhang, Hua-Xiang ZHU, Qinglin Chang, et al.
Agriculture (2025) Vol. 15, Iss. 9, pp. 903-903
Open Access
Enhancing Driving Safety Evaluation Through Correlation Analysis of Driver Behavior
Majun Fei, Weiqi Zhou, Hai Zhao, et al.
Sustainability (2025) Vol. 17, Iss. 9, pp. 4067-4067
Open Access
Classification and identification of tea diseases based on improved YOLOv7 model of MobileNeXt
Yuxin Xia, Wenxia Yuan, Shihao Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology
Maurizio Agelli, Nicola Corona, Fabio Maggio, et al.
Machines (2024) Vol. 12, Iss. 11, pp. 750-750
Open Access | Times Cited: 3
Review of Energy-Related Machine Learning Applications in Drying Processes
Damir Đaković, Miroslav Kljajić, Nikola Milivojević, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 224-224
Open Access | Times Cited: 8
Disease Control Measures Using Vision-Enabled Agricultural Robotics
Abhishek Upadhyay, Narendra Singh Chandel, Subir Kumar Chakraborty
(2024), pp. 165-186
Closed Access | Times Cited: 2
Advanced deep learning algorithm for instant discriminating of tea leave stress symptoms by smartphone-based detection
Zhenxiong Huang, Mostafa Gouda, Sitan Ye, et al.
Plant Physiology and Biochemistry (2024) Vol. 212, pp. 108769-108769
Closed Access | Times Cited: 2
Research on the Smart Broad Bean Harvesting System and the Self-Adaptive Control Method Based on CPS Technologies
Wenbo Wang, Yang Shao-jun, Xinzhou Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1405-1405
Open Access | Times Cited: 2
Advanced Technologies and Artificial Intelligence in Agriculture
Alexander Uzhinskiy
AppliedMath (2023) Vol. 3, Iss. 4, pp. 799-813
Open Access | Times Cited: 6
The Application Status and Trends of Machine Vision in Tea Production
Zhiming Yang, Wei Ma, Jinzhu Lu, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10744-10744
Open Access | Times Cited: 4
A black tea quality testing method for scale production using CV and NIRS with TCN for spectral feature extraction
Jianhua Liang, Jiaming Guo, Hongling Xia, et al.
Food Chemistry (2024) Vol. 464, pp. 141567-141567
Closed Access | Times Cited: 1
Researches on the tender leaf identification and mechanically perceptible plucking finger for high‐quality green tea
Zhang Wei, Yong Chen, Qianqian Wang, et al.
Journal of the Science of Food and Agriculture (2024)
Open Access | Times Cited: 1
DESIGN AND RESEARCH ON SERVOMECHANISM OF TEA PLUCKING
Yan Yang, Ivan Chicherin, Lijun Zhao, et al.
Vestnik of Kuzbass State Technical University (2024), Iss. 1, pp. 14-22
Open Access
Comparison of Landsat-8 and Sentinel-2 Imagery for Modeling Gross Primary Productivity of Tea Ecosystem
Ali Raza, Yongguang Hu, Yongzong Lu, et al.
Deleted Journal (2024) Vol. 76, Iss. 6, pp. 1585-1605
Closed Access
An Effective Study on the Machine Vision‐Based Automatic Control and Monitoring in Furrow Irrigation and Precision Irrigation
J. Manikandan, J. U. Saran, S Samitha, et al.
(2024), pp. 323-342
Closed Access
A Comprehensive Review of Advanced Deep Learning Approaches for Food Freshness Detection
R. N. Singh, C. Nickhil, Nisha Rani, et al.
Food Engineering Reviews (2024)
Closed Access
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