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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 fusion methodologies for food and beverage authentication and quality assessment – A review
Eva Borràs, Joan Ferré, Ricard Boqué, et al.
Analytica Chimica Acta (2015) Vol. 891, pp. 1-14
Closed Access | Times Cited: 646

Showing 26-50 of 646 citing articles:

Authenticity and traceability in beverages
Senem Kamiloğlu
Food Chemistry (2018) Vol. 277, pp. 12-24
Closed Access | Times Cited: 139
FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng
Yun Li, Jinyu Zhang, Yuanzhong Wang
Analytical and Bioanalytical Chemistry (2017) Vol. 410, Iss. 1, pp. 91-103
Closed Access | Times Cited: 137
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
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
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
Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion
Furong Huang, Song Han, Guo Liu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2020) Vol. 235, pp. 118297-118297
Closed Access | Times Cited: 117
Nontargeted Analytical Methods as a Powerful Tool for the Authentication of Spices and Herbs: A Review
Marciano M. Oliveira, J.P. Cruz‐Tirado, Douglas Fernandes Barbin
Comprehensive Reviews in Food Science and Food Safety (2019) Vol. 18, Iss. 3, pp. 670-689
Open Access | Times Cited: 116
E-nose, e-tongue and e-eye for edible olive oil characterization and shelf life assessment: A powerful data fusion approach
Susanna Buratti, Cristina Malegori, S. Benedetti, et al.
Talanta (2018) Vol. 182, pp. 131-141
Closed Access | Times Cited: 114
Chemometric Methods for Classification and Feature Selection
Marina Cocchi, Alessandra Biancolillo, Federico Marini
Comprehensive analytical chemistry (2018), pp. 265-299
Open Access | Times Cited: 108
Effects of geographical origin, varietal and farming system on the chemical composition and functional properties of purple grape juices: A review
Daniel Granato, Mariana de Magalhães Carrapeiro, Vincenzo Fogliano, et al.
Trends in Food Science & Technology (2016) Vol. 52, pp. 31-48
Closed Access | Times Cited: 106
Hyperspectral imaging with multivariate analysis for technological parameters prediction and classification of muscle foods: A review
Jun‐Hu Cheng, Bart Nicolaı̈, Da‐Wen Sun
Meat Science (2016) Vol. 123, pp. 182-191
Closed Access | Times Cited: 102
Quality and Authenticity Control of Fruit Juices-A Review
Marilena E. Dasenaki, Νikolaos S. Τhomaidis
Molecules (2019) Vol. 24, Iss. 6, pp. 1014-1014
Open Access | Times Cited: 102
Modern data science for analytical chemical data – A comprehensive review
Ewa Szymańska
Analytica Chimica Acta (2018) Vol. 1028, pp. 1-10
Closed Access | Times Cited: 100
A review of in-line and on-line measurement techniques to monitor industrial mixing processes
Alexander L. Bowler, Serafim Bakalis, Nicholas J. Watson
Process Safety and Environmental Protection (2019) Vol. 153, pp. 463-495
Closed Access | Times Cited: 99
Detection and characterisation of frauds in bovine meat in natura by non-meat ingredient additions using data fusion of chemical parameters and ATR-FTIR spectroscopy
Karen M. Nunes, Marcus Vinícius O. Andrade, Antônio M.P. Santos Filho, et al.
Food Chemistry (2016) Vol. 205, pp. 14-22
Open Access | Times Cited: 98
Recent chemometrics advances for foodomics
Marta Bevilacqua, Rasmus Bro, Federico Marini, et al.
TrAC Trends in Analytical Chemistry (2017) Vol. 96, pp. 42-51
Closed Access | Times Cited: 98
Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion
Sulaiman Khan, Shah Nazir, Iván García‐Magariño, et al.
Computers & Electrical Engineering (2020) Vol. 89, pp. 106906-106906
Closed Access | Times Cited: 97
Olive oil sensory defects classification with data fusion of instrumental techniques and multivariate analysis (PLS-DA)
Eva Borràs, Joan Ferré, Ricard Boqué, et al.
Food Chemistry (2016) Vol. 203, pp. 314-322
Closed Access | Times Cited: 94
Hyperspectral imaging in combination with data fusion for rapid evaluation of tilapia fillet freshness
Hai‐Dong Yu, Li-Wei Qing, Dan-Ting Yan, et al.
Food Chemistry (2021) Vol. 348, pp. 129129-129129
Closed Access | Times Cited: 91
A critical review of recent trends, and a future perspective of optical spectroscopy as PAT in biopharmaceutical downstream processing
Laura Rolinger, Matthias Rüdt, Jürgen Hubbuch
Analytical and Bioanalytical Chemistry (2020) Vol. 412, Iss. 9, pp. 2047-2064
Open Access | Times Cited: 89
Information fusion of emerging non-destructive analytical techniques for food quality authentication: A survey
Lei Zhou, Chu Zhang, Zhengjun Qiu, et al.
TrAC Trends in Analytical Chemistry (2020) Vol. 127, pp. 115901-115901
Closed Access | Times Cited: 89
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
Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey
Davide Ballabio, Elisa Robotti, Francesca Grisoni, et al.
Food Chemistry (2018) Vol. 266, pp. 79-89
Closed Access | Times Cited: 87
Electronic Nose-Based Technique for Rapid Detection and Recognition of Moldy Apples
Wenshen Jia, Gang Liang, Hui Tian, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1526-1526
Open Access | Times Cited: 87
Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity
Hadi Parastar, Geert van Kollenburg, Yannick Weesepoel, et al.
Food Control (2020) Vol. 112, pp. 107149-107149
Open Access | Times Cited: 86

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