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:

Application of emission – excitation matrices in parallel with factor analysis with other chemometric techniques for honey classification
Ramona-Crina Suciu, François Guyon, Dana Alina Măgdaş
Journal of Food Composition and Analysis (2022) Vol. 107, pp. 104401-104401
Closed Access | Times Cited: 10

Showing 10 citing articles:

Insight into the Recent Application of Chemometrics in Quality Analysis and Characterization of Bee Honey during Processing and Storage
Maria Tarapoulouzi, Monica Mironescu, Chryssoula Drouza, et al.
Foods (2023) Vol. 12, Iss. 3, pp. 473-473
Open Access | Times Cited: 18

Hybrid N-way Partial Least Squares and Random Forest Model for Brick Tea Identification Based on Excitation–emission Matrix Fluorescence Spectroscopy
Jin Jiang, Xin Tan, Lingling Zhang, et al.
Food and Bioprocess Technology (2023) Vol. 16, Iss. 6, pp. 1335-1342
Closed Access | Times Cited: 10

New Zealand honey botanical origin classification with hyperspectral imaging
Guyang Zhang, Waleed H. Abdulla
Journal of Food Composition and Analysis (2022) Vol. 109, pp. 104511-104511
Closed Access | Times Cited: 14

Intelligent electronic tongue system for the classification of genuine and false honeys
Jersson X. Leon‐Medina, Diana Acosta-Opayome, Carlos Alberto Fuenmayor, et al.
International Journal of Food Properties (2023) Vol. 26, Iss. 1, pp. 327-343
Open Access | Times Cited: 7

Honey authentication and adulteration detection using emission – excitation spectra combined with chemometrics
Sorina Ropciuc, Florina Dranca, Daniela Pauliuc, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 293, pp. 122459-122459
Closed Access | Times Cited: 7

The improvement of honey recognition models built on 1H NMR fingerprint through a new proposed approach for feature selection
Ariana Raluca Hategan, François Guyon, Dana Alina Măgdaş
Journal of Food Composition and Analysis (2022) Vol. 114, pp. 104786-104786
Closed Access | Times Cited: 9

Fluorescence and ultraviolet–visible spectroscopy in the honey analysis
Kashif Ameer, Mian Anjum Murtaza, Guihun Jiang, et al.
Elsevier eBooks (2024), pp. 153-191
Closed Access | Times Cited: 1

Botanical Origin Assessment of Honey Based on ATR-IR Spectroscopy: A Comparison between the Efficiency of Supervised Statistical Methods and Artificial Intelligence
Maria David, Ariana Raluca Hategan, Dana Alina Măgdaş, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9645-9645
Open Access | Times Cited: 7

Rapid authentication of green tea grade by excitation-emission matrix fluorescence spectroscopy coupled with multi-way chemometric methods
Xian-Chun Hu, Huicheng Yu, Ying Deng, et al.
European Food Research and Technology (2022) Vol. 249, Iss. 3, pp. 767-775
Closed Access | Times Cited: 7

Review of Capability of Methods for the Verification of Country of Origin for Food and Feed
Helen H. Grundy, H. Hird, Rosario Romero, et al.
FSA research and evidence. (2024)
Closed Access

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