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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:

Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines
Athina Ropodi, Efstathios Ζ. Panagou, George‐John E. Nychas
Trends in Food Science & Technology (2016) Vol. 50, pp. 11-25
Closed Access | Times Cited: 150

Showing 1-25 of 150 citing articles:

Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
Daniel Granato, Jânio Sousa Santos, Graziela Bragueto Escher, et al.
Trends in Food Science & Technology (2017) Vol. 72, pp. 83-90
Open Access | Times Cited: 831
Application of Deep Learning in Food: A Review
Lei Zhou, Chu Zhang, Fei Liu, et al.
Comprehensive Reviews in Food Science and Food Safety (2019) Vol. 18, Iss. 6, pp. 1793-1811
Open Access | Times Cited: 431
Aflatoxins in Food and Feed: An Overview on Prevalence, Detection and Control Strategies
Dipendra Kumar Mahato, Kyung Eun Lee, Madhu Kamle, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 295
Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review
Ana M. Jiménez‐Carvelo, Antonio González‐Casado, M. Gracia Bagur-González, et al.
Food Research International (2019) Vol. 122, pp. 25-39
Closed Access | Times Cited: 280
Food Security, Safety, and Sustainability—Getting the Trade-Offs Right
Ivar Vågsholm, Naser Shah Arzoomand, Sofia Boqvist
Frontiers in Sustainable Food Systems (2020) Vol. 4
Open Access | Times Cited: 248
Utilization of text mining as a big data analysis tool for food science and nutrition
D. Tao, Pengkun Yang, Hao Feng
Comprehensive Reviews in Food Science and Food Safety (2020) Vol. 19, Iss. 2, pp. 875-894
Open Access | Times Cited: 189
Predicting the ripening of papaya fruit with digital imaging and random forests
Luiz Fernando Santos Pereira, Sylvio Barbon, Nektarios A. Valous, et al.
Computers and Electronics in Agriculture (2018) Vol. 145, pp. 76-82
Closed Access | Times Cited: 168
Application of machine learning to the monitoring and prediction of food safety: A review
Xinxin Wang, Yamine Bouzembrak, Alfons Oude Lansink, et al.
Comprehensive Reviews in Food Science and Food Safety (2021) Vol. 21, Iss. 1, pp. 416-434
Closed Access | Times Cited: 123
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis
Zhe Liu, Shuzhe Wang, Yudong Zhang, et al.
Foods (2023) Vol. 12, Iss. 6, pp. 1242-1242
Open Access | Times Cited: 70
New insights in food security and environmental sustainability through waste food management
Nazrana Rafique Wani, Rauoof Ahmad Rather, Aiman Farooq, et al.
Environmental Science and Pollution Research (2023)
Open Access | Times Cited: 64
Aflatoxin Contamination: An Overview on Health Issues, Detection and Management Strategies
Meera Mohamed Alameri, Amanda Shen-Yee Kong, Mariam Nasser Aljaafari, et al.
Toxins (2023) Vol. 15, Iss. 4, pp. 246-246
Open Access | Times Cited: 55
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 45
Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review
Abdelaziz Rabehi, Hicham Helal, Dario Zappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4506-4506
Open Access | Times Cited: 27
Advances in NIR spectroscopy applied to process analytical technology in food industries
Silvia Grassi, Cristina Alamprese
Current Opinion in Food Science (2018) Vol. 22, pp. 17-21
Open Access | Times Cited: 146
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: 134
Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years
Abdo Hassoun, Ingrid Måge, Walter Schmidt, et al.
Foods (2020) Vol. 9, Iss. 8, pp. 1069-1069
Open Access | Times Cited: 126
Comparative review and the recent progress in detection technologies of meat product adulteration
Yun‐Cheng Li, Shu‐Yan Liu, Fan‐Bing Meng, et al.
Comprehensive Reviews in Food Science and Food Safety (2020) Vol. 19, Iss. 4, pp. 2256-2296
Closed Access | Times Cited: 119
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: 117
Novel approaches for food safety management and communication
George‐John E. Nychas, Efstathios Ζ. Panagou, Fady Mohareb
Current Opinion in Food Science (2016) Vol. 12, pp. 13-20
Closed Access | Times Cited: 93
Volatilomics for food quality and authentication
Anastasia Lytou, Efstathios Ζ. Panagou, George‐John E. Nychas
Current Opinion in Food Science (2019) Vol. 28, pp. 88-95
Closed Access | Times Cited: 88
Aflatoxin rapid detection based on hyperspectral with 1D-convolution neural network in the pixel level
Jiyue Gao, Longgang Zhao, Juan Li, et al.
Food Chemistry (2021) Vol. 360, pp. 129968-129968
Closed Access | Times Cited: 72
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: 55
Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends
Wenyang Jia, Saskia M. van Ruth, Nigel Scollan, et al.
Current Research in Food Science (2022) Vol. 5, pp. 1017-1027
Open Access | Times Cited: 51
Deep learning approaches and interventions for futuristic engineering in agriculture
Subir Kumar Chakraborty, Narendra Singh Chandel, Dilip Jat, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 23, pp. 20539-20573
Closed Access | Times Cited: 41
Advances in Machine Learning and Hyperspectral Imaging in the Food Supply Chain
Zhilong Kang, Yuchen Zhao, Lei Chen, et al.
Food Engineering Reviews (2022) Vol. 14, Iss. 4, pp. 596-616
Open Access | Times Cited: 40
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