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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:

Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System
V. Hemamalini, S Rajarajeswari, S. Nachiyappan, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection
Abu Sarwar Zamani, L. Anand, Kantilal Pitambar Rane, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 106
Artificial Intelligence and Machine Learning and Its Application in the Field of Computational Visual Analysis
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, et al.
Advances in civil and industrial engineering book series (2024), pp. 36-57
Closed Access | Times Cited: 46
Image thresholding approaches for medical image segmentation - short literature review
Sandra Jardim, João António, Carlos León de Mora
Procedia Computer Science (2023) Vol. 219, pp. 1485-1492
Open Access | Times Cited: 42
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
Sachin Kumar Gupta, Ashish Kumar Tripathi
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108260-108260
Closed Access | Times Cited: 16
Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction
Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 48
Determination of the quality of tea from different picking periods: An adaptive pooling attention mechanism coupled with an electronic nose
Siyuan Kang, Qinglun Zhang, Ziyang Li, et al.
Postharvest Biology and Technology (2022) Vol. 197, pp. 112214-112214
Closed Access | Times Cited: 47
Recent Advancement in Postharvest Loss Mitigation and Quality Management of Fruits and Vegetables Using Machine Learning Frameworks
Abha Singh, Gayatri Vaidya, Vishal Jagota, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 43
Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System
Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 30
Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease
Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 29
A Review of Using Artificial Intelligence and Machine Learning in Food and Agriculture Industry
Harikumar Pallathadka, Malik Jawarneh, F. Sammy, et al.
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022)
Closed Access | Times Cited: 28
Food manufacturing, processing, storage, and marketing using artificial intelligence
Ojei Harrison Onyijen, S. Oyelola, O.J. Ogieriakhi
Elsevier eBooks (2024), pp. 183-200
Closed Access | Times Cited: 6
Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review
Ikechukwu Kingsley Opara, Umezuruike Linus Opara, Jude A. Okolie, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1200-1200
Open Access | Times Cited: 6
A method for extracting ancient ceramic patterns based on artificial intelligence
Yu Shao, Shuping Huang, M. Mei, et al.
AIP Advances (2025) Vol. 15, Iss. 1
Open Access
Frequent Pattern Mining Using Artificial Intelligence and Machine Learning
R. Deepika, Sreenivasulu Gogula, K. Kanagalakshmi, et al.
(2025), pp. 15-28
Closed Access
Analysis of Graduate Students Using Machine Learning to Forecast Student’s Employability and Academic Success
Mahyudin Ritonga, P. L.N.G. Rao, Khaled A. Z. Alyamani, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 153-156
Closed Access
Revolutionizing Food Quality With Machine Vision and Machine Learning Techniques
MOHAMMED AL RASHED, Shaimaa Fakhry, Radwa Satour
IGI Global eBooks (2025), pp. 71-124
Closed Access
Revolutionizing Food Safety in the Airline Industry: AI-Powered Smart Solutions
Nida Kanwal, Min Zhang, Mustafa Zeb, et al.
Trends in Food Science & Technology (2025), pp. 104970-104970
Closed Access
AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance
Kushagra Agrawal, Polat Goktas, M. Holtkemper, et al.
Frontiers in Nutrition (2025) Vol. 12
Open Access
Graphical Image Region Extraction with K-Means Clustering and Watershed
Sandra Jardim, João António, Carlos León de Mora
Journal of Imaging (2022) Vol. 8, Iss. 6, pp. 163-163
Open Access | Times Cited: 26
Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method
Daniyal Irfan, Xuan Tang, Vipul Narayan, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 24
Design of inception with deep convolutional neural network based fall detection and classification model
K. Durga Bhavani, M. Ferni Ukrit
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23799-23817
Closed Access | Times Cited: 14
Vision AI System Development for Improved Productivity in Challenging Industrial Environments: A Sustainable and Efficient Approach
C. J. Yang, Jin-Seok Kim, DongWeon Kang, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2750-2750
Open Access | Times Cited: 4
Image Based Feature Separation Using RBM Tech with ADBN Tech for Accurate Fruit Classification
V Revathi, Balasubramanian Prabhu Kavin, Arunadevi Thirumalraj, et al.
(2024), pp. 1423-1429
Closed Access | Times Cited: 4
Online detection of moldy apple core based on diameter and SSC features
Zhanling Hu, Yuge Pu, Wu Wei, et al.
Food Control (2024), pp. 110879-110879
Closed Access | Times Cited: 4
MSDD-YOLOX: An enhanced YOLOX for real-time surface defect detection of oranges by type
Jintao Feng, Zhipeng Wang, Shuai Wang, et al.
European Journal of Agronomy (2023) Vol. 149, pp. 126918-126918
Closed Access | Times Cited: 11
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