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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:

Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality – A comprehensive review
Gamal ElMasry, Shigeki Nakauchi
Biosystems Engineering (2016) Vol. 142, pp. 53-82
Closed Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview
Gamal ElMasry, N. S. Mandour, Salim S. Al‐Rejaie, et al.
Sensors (2019) Vol. 19, Iss. 5, pp. 1090-1090
Open Access | Times Cited: 179
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
Gözde Özdoğan, Xiaohui Lin, Da‐Wen Sun
Trends in Food Science & Technology (2021) Vol. 111, pp. 151-165
Open Access | Times Cited: 149
Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis
Naveen Kumar Mahanti, R. Pandiselvam, Anjineyulu Kothakota, et al.
Trends in Food Science & Technology (2021) Vol. 120, pp. 418-438
Closed Access | Times Cited: 130
Food quality 4.0: From traditional approaches to digitalized automated analysis
Abdo Hassoun, Sandeep Jagtap, Guillermo Garcia‐Garcia, et al.
Journal of Food Engineering (2022) Vol. 337, pp. 111216-111216
Open Access | Times Cited: 124
Fruit ripeness classification: A survey
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, et al.
Artificial Intelligence in Agriculture (2023) Vol. 7, pp. 44-57
Open Access | Times Cited: 68
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: 32
Deep learning hyperspectral imaging: a rapid and reliable alternative to conventional techniques in the testing of food quality and safety
Naillah Gul, Khalid Muzaffar, Syed Zubair Ahmad Shah, et al.
Quality Assurance and Safety of Crops & Foods (2024) Vol. 16, Iss. 1, pp. 78-97
Open Access | Times Cited: 21
Artificial Intelligence-based Tools for Next-Generation Seed Quality Analysis
Sumeet Kumar Singh, Rashmi Jha, Saurabh Pandey, et al.
Crop Design (2025), pp. 100094-100094
Open Access | Times Cited: 3
Advancing food security through drone-based hyperspectral imaging: applications in precision agriculture and post-harvest management
Debashish Kar, Sambandh Bhusan Dhal
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 2
Advances in Non-Destructive Early Assessment of Fruit Ripeness towards Defining Optimal Time of Harvest and Yield Prediction—A Review
Bo Li, Julien Lecourt, Gerard Bishop
Plants (2018) Vol. 7, Iss. 1, pp. 3-3
Open Access | Times Cited: 161
Fourier Transform Infrared and Raman and Hyperspectral Imaging Techniques for Quality Determinations of Powdery Foods: A Review
Wen‐Hao Su, Da‐Wen Sun
Comprehensive Reviews in Food Science and Food Safety (2017) Vol. 17, Iss. 1, pp. 104-122
Open Access | Times Cited: 147
Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review
Wouter Saeys, Nghia Nguyen Do Trong, Robbe Van Beers, et al.
Postharvest Biology and Technology (2019) Vol. 158, pp. 110981-110981
Open Access | Times Cited: 140
Hyperspectral imaging and multispectral imaging as the novel techniques for detecting defects in raw and processed meat products: Current state-of-the-art research advances
Chao‐Hui Feng, Yoshio Makino, Seiichi Oshita, et al.
Food Control (2017) Vol. 84, pp. 165-176
Closed Access | Times Cited: 127
Recent advances in emerging techniques for non-destructive detection of seed viability: A review
Yu Xia, Yunfei Xu, Jiangbo Li, et al.
Artificial Intelligence in Agriculture (2019) Vol. 1, pp. 35-47
Open Access | Times Cited: 126
Fluorescence spectroscopy as a rapid and non-destructive method for monitoring quality and authenticity of fish and meat products: Impact of different preservation conditions
Abdo Hassoun, Amna Sahar, Lyès Lakhal, et al.
LWT (2019) Vol. 103, pp. 279-292
Open Access | Times Cited: 116
Applications of imaging and spectroscopy techniques for non-destructive quality evaluation of potatoes and sweet potatoes: A review
Philip Donald C. Sanchez, Norhashila Hashim, Rosnah Shamsudin, et al.
Trends in Food Science & Technology (2019) Vol. 96, pp. 208-221
Open Access | Times Cited: 95
Essential processing methods of hyperspectral images of agricultural and food products
Beibei Jia, Wei Wang, Xinzhi Ni, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 198, pp. 103936-103936
Closed Access | Times Cited: 94
Emerging thermal imaging techniques for seed quality evaluation: Principles and applications
Gamal ElMasry, Ramadan ElGamal, N. S. Mandour, et al.
Food Research International (2020) Vol. 131, pp. 109025-109025
Open Access | Times Cited: 74
Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics
Hanieh Nobari Moghaddam, Zahra Tamiji, Mahsa Akbari Lakeh, et al.
Journal of Food Composition and Analysis (2021) Vol. 107, pp. 104343-104343
Closed Access | Times Cited: 73
Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality
Dong An, Liu Zhang, Zhe Liu, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 29, pp. 9766-9796
Closed Access | Times Cited: 64
Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review
Xiaohong Wu, Xinyue Liang, Yixuan Wang, et al.
Foods (2022) Vol. 11, Iss. 22, pp. 3713-3713
Open Access | Times Cited: 46
Application of visible-near-infrared hyperspectral imaging technology coupled with wavelength selection algorithm for rapid determination of moisture content of soybean seeds
Zhen Guo, Jing Zhang, Chengye Ma, et al.
Journal of Food Composition and Analysis (2022) Vol. 116, pp. 105048-105048
Closed Access | Times Cited: 46
Early decay detection in fruit by hyperspectral imaging–Principles and application potential
Dedong Min, Jiangsan Zhao, Gernot Bodner, et al.
Food Control (2023) Vol. 152, pp. 109830-109830
Closed Access | Times Cited: 32
Exploring the potential of hyperspectral imaging for microbial assessment of meat: A review
Rumbidzai T. Matenda, Diane Rip, J. Marais, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 315, pp. 124261-124261
Open Access | Times Cited: 13
Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology
Christopher Kucha, Ebenezer O. Olaniyi
Food Bioscience (2024) Vol. 58, pp. 103754-103754
Closed Access | Times Cited: 11
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