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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:

Machine learning applications to non-destructive defect detection in horticultural products
Jean Frederic Isingizwe Nturambirwe, Umezuruike Linus Opara
Biosystems Engineering (2019) Vol. 189, pp. 60-83
Closed Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
Dhritiman Saha, Annamalai Manickavasagan
Current Research in Food Science (2021) Vol. 4, pp. 28-44
Open Access | Times Cited: 316
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review
Jana Wieme, Kaveh Mollazade, Ioannis Malounas, et al.
Biosystems Engineering (2022) Vol. 222, pp. 156-176
Open Access | Times Cited: 104
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
Yuandong Lin, Ji Ma, Qijun Wang, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 12, pp. 1649-1669
Closed Access | Times Cited: 95
Computer vision in smart agriculture and precision farming: Techniques and applications
Sumaira Ghazal, Arslan Munir, Waqar S. Qureshi
Artificial Intelligence in Agriculture (2024) Vol. 13, pp. 64-83
Open Access | Times Cited: 29
A comprehensive review of external quality measurements of fruits and vegetables using nondestructive sensing technologies
Tanjima Akter, Tanima Bhattacharya, Junghyeon Kim, et al.
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 101068-101068
Open Access | Times Cited: 15
State of AI-Based Monitoring in Smart Manufacturing and Introduction to Focused Section
Han Ding, Robert X. Gao, Alf Isaksson, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 25, Iss. 5, pp. 2143-2154
Open Access | Times Cited: 110
Applications of deep-learning approaches in horticultural research: a review
Biyun Yang, Yong Xu
Horticulture Research (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 99
A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach
Chun Hsion Lim, Steven Lim, Bing Shen How, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110223-110223
Closed Access | Times Cited: 86
Machine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features
Anindita Septiarini, Andi Sunyoto, Hamdani Hamdani, et al.
Scientia Horticulturae (2021) Vol. 286, pp. 110245-110245
Closed Access | Times Cited: 82
Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance
Hossein Hassani, Xu Huang, Steve MacFeely, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 3, pp. 28-28
Open Access | Times Cited: 74
Novel Materials for Urban Farming
Lifei Xi, Mengyuan Zhang, L. Zhang, et al.
Advanced Materials (2021) Vol. 34, Iss. 25
Open Access | Times Cited: 71
Online defect detection and automatic grading of carrots using computer vision combined with deep learning methods
Limiao Deng, Juan Li, Zhongzhi Han
LWT (2021) Vol. 149, pp. 111832-111832
Closed Access | Times Cited: 60
Machine Learning-Based Digital Twin for Monitoring Fruit Quality Evolution
Tsega Y. Melesse, Matteo Bollo, Valentina Di Pasquale, et al.
Procedia Computer Science (2022) Vol. 200, pp. 13-20
Open Access | Times Cited: 50
Defect Detection in Fruit and Vegetables by Using Machine Vision Systems and Image Processing
Mahmoud Soltani Firouz, Hamed Sardari
Food Engineering Reviews (2022) Vol. 14, Iss. 3, pp. 353-379
Closed Access | Times Cited: 48
How Can AI Help Improve Food Safety?
Chenhao Qian, Sarah I. Murphy, Renato H. Orsi, et al.
Annual Review of Food Science and Technology (2022) Vol. 14, Iss. 1, pp. 517-538
Open Access | Times Cited: 45
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
Machine Learning in Cereal Crops Disease Detection: A Review
Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, et al.
Algorithms (2022) Vol. 15, Iss. 3, pp. 75-75
Open Access | Times Cited: 38
A deep learning model for steel surface defect detection
Zhaoguo Li, Xiumei Wei, M. Hassaballah, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 885-897
Open Access | Times Cited: 37
Prediction of soluble solid content in Nanfeng mandarin by combining hyperspectral imaging and effective wavelength selection
Wei Luo, Jing Zhang, Shilin Liu, et al.
Journal of Food Composition and Analysis (2023) Vol. 126, pp. 105939-105939
Closed Access | Times Cited: 28
Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review
Sudau Eh Teet, Norhashila Hashim
Food Control (2023) Vol. 152, pp. 109849-109849
Closed Access | Times Cited: 25
Prediction of fat content in salmon fillets based on hyperspectral imaging and residual attention convolution neural network
Wei Luo, Jing Zhang, Hai‐Hua Huang, et al.
LWT (2023) Vol. 184, pp. 115018-115018
Open Access | Times Cited: 25
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 25
Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning
Jean Frederic Isingizwe Nturambirwe, Eslam A. Hussein, M. Vaccari, et al.
Foods (2023) Vol. 12, Iss. 1, pp. 210-210
Open Access | Times Cited: 24
Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review
Ali Haider, Shahzad Zafar Iqbal, Ijaz Ahmad Bhatti, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 3
Closed Access | Times Cited: 10
State-of-the-art non-destructive approaches for maturity index determination in fruits and vegetables: principles, applications, and future directions
Anjali Leal, A Gutb er -Jena, Ayushi Bamola, et al.
Food Production Processing and Nutrition (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 9
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