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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:

Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions
Andrea Mara, Matteo Migliorini, Marco Ciulu, et al.
Foods (2024) Vol. 13, Iss. 2, pp. 243-243
Open Access | Times Cited: 9

Showing 9 citing articles:

Potential of High-Performance liquid chromatography with ultraviolet detection (HPLC-UV) fingerprints to assess the geographical production origin and authenticity of honey
Danica Mostoles, Carla Egido, Andrea Mara, et al.
Microchemical Journal (2025), pp. 112669-112669
Closed Access
New Insights on Quality, Safety, Nutritional, and Nutraceutical Properties of Honeydew Honeys from Italy
Andrea Mara, Federica Mainente, Vasiliki Soursou, et al.
Molecules (2025) Vol. 30, Iss. 2, pp. 410-410
Open Access
Identifying Key Markers for Monofloral (Eucalyptus, Rosemary, and Orange Blossom) and Multifloral Honey Differentiation in the Spanish Market by UHPLC-Q-Orbitrap-High-Resolution Mass Spectrometry Fingerprinting and Chemometrics
Araceli Rivera-Pérez, Alba María Navarro-Herrera, Antonia Garrido Frenich
Foods (2024) Vol. 13, Iss. 17, pp. 2755-2755
Open Access | Times Cited: 1
Portable NIR Spectroscopy to Simultaneously Trace Honey Botanical and Geographical Origins and Detect Syrup Adulteration
Marco Caredda, Marco Ciulu, F. Tilocca, et al.
Foods (2024) Vol. 13, Iss. 19, pp. 3062-3062
Open Access | Times Cited: 1
New Revolution for Quality Control of TCM in Industry 4.0: Focus on Artificial Intelligence and Bioinformatics
Yaolei Li, Jing Fan, Xian‐Long Cheng, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 118023-118023
Open Access | Times Cited: 1
New vision for TCM quality control: Elemental fingerprints and key ingredient combination strategy for identification and evaluation of TCMs
Yaolei Li, Jing Fan, Hongyu Jin, et al.
European Journal of Medicinal Chemistry (2024) Vol. 281, pp. 117006-117006
Open Access | Times Cited: 1
Intra-regional classification and quality evaluation of honey from Mendoza (Argentina) based on multi-elemental analysis and chemometrics
Brenda V. Canizo, Ana Diedrichs, Emiliano F. Fiorentini, et al.
Journal of Food Composition and Analysis (2024) Vol. 137, pp. 106958-106958
Closed Access
Fluorescence spectroscopy combined with multilayer perceptron deep learning to identify the authenticity of monofloral honey—Rape honey
Shengkang Ji, Shengyu Hao, Jie Yuan, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125418-125418
Closed Access
Enhanced food authenticity control using machine learning-assisted elemental analysis
Ying Yang, Lu Zhang, Xinquan Qu, et al.
Food Research International (2024) Vol. 198, pp. 115330-115330
Closed Access
Rapid Authentication of Intact Stingless Bee Honey (SBH) by Portable LED-Based Fluorescence Spectroscopy and Chemometrics
Diding Suhandy, Dimas Firmanda Al Riza, Meinilwita Yulia, et al.
Foods (2024) Vol. 13, Iss. 22, pp. 3648-3648
Open Access
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