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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.

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Showing 1-25 of 38 citing articles:

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
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
Investigation of dielectric and spectroscopic properties of pure, commercial, and sugar solution added honey with microwave X band and spectroscopy techniques
Shikha Varma, Ajay L. Vishwakarma, M. R. Sonawane, et al.
Journal of Food Science (2025) Vol. 90, Iss. 1
Closed Access
Honey authentication in terms of its adulteration with sugar syrups using UV–Vis spectroscopy and one-class classifiers
Rayara Ribeiro de Souza, David Fernandes, Paulo Henrique Gonçalves Dias Diniz
Food Chemistry (2021) Vol. 365, pp. 130467-130467
Open Access | Times Cited: 44
How Chemometrics Revives the UV-Vis Spectroscopy Applications as an Analytical Sensor for Spectralprint (Nontargeted) Analysis
Rocio Ríos‐Reina, Silvana M. Azcarate
Chemosensors (2022) Vol. 11, Iss. 1, pp. 8-8
Open Access | Times Cited: 31
Honey fraud detection based on sugar syrup adulterations by HPLC-UV fingerprinting and chemometrics
Carla Egido, Javier Saurina, Sònia Sentellas, et al.
Food Chemistry (2023) Vol. 436, pp. 137758-137758
Open Access | Times Cited: 16
Development of a LC-QTOF-MS based dilute-and-shoot approach for the botanical discrimination of honeys
Lei Tian, Shaghig Bilamjian, Lan Liu, et al.
Analytica Chimica Acta (2024) Vol. 1304, pp. 342536-342536
Open Access | Times Cited: 5
Ultraviolet–visible spectroscopy combined with machine learning as a rapid detection method to the predict adulteration of honey
Razie Razavi, Reza Esmaeilzadeh Kenari
Heliyon (2023) Vol. 9, Iss. 10, pp. e20973-e20973
Open Access | Times Cited: 13
Towards a Better Understanding of Nutritional and Therapeutic Effects of Honey and Their Applications in Apitherapy
Alexandra-Antonia Cucu, Gabriela-Maria Baci, Adela Moise, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4190-4190
Open Access | Times Cited: 22
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy
Aline Nunes, Gadiel Zilto Azevedo, Beatriz Rocha dos Santos, et al.
Food Research International (2022) Vol. 162, pp. 111913-111913
Closed Access | Times Cited: 17
Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies
Víctor García-Seval, Clàudia Martínez-Alfaro, Javier Saurina, et al.
Foods (2022) Vol. 11, Iss. 15, pp. 2345-2345
Open Access | Times Cited: 16
Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys
Dafni Dimakopoulou‐Papazoglou, Νικόλαος Πλόσκας, Salud Serrano, et al.
European Food Research and Technology (2023) Vol. 249, Iss. 12, pp. 3043-3053
Closed Access | Times Cited: 9
Low-cost rapid workflow for honey adulteration detection by UV–Vis spectroscopy in combination with factorial design, response surface methodology and supervised machine learning classifiers
Prashanta Kumar Mitra, Raj Karmakar, Radhakanta Nandi, et al.
Bioresource Technology Reports (2023) Vol. 21, pp. 101327-101327
Closed Access | Times Cited: 8
Non-Targeted Detection and Quantification of Food Adulteration of High-Quality Stingless Bee Honey (SBH) via a Portable LED-Based Fluorescence Spectroscopy
Diding Suhandy, Dimas Firmanda Al Riza, Meinilwita Yulia, et al.
Foods (2023) Vol. 12, Iss. 16, pp. 3067-3067
Open Access | Times Cited: 8
Advancements in food authentication using soft independent modelling of class analogy (SIMCA): a review
Davide De Angelis, Carmine Summo, Antonella Pasqualone, et al.
Food Quality and Safety (2024) Vol. 8
Open Access | Times Cited: 2
Calluna vulgaris as a Valuable Source of Bioactive Compounds: Exploring Its Phytochemical Profile, Biological Activities and Apitherapeutic Potential
Alexandra-Antonia Cucu, Gabriela-Maria Baci, Alexandru Bogdan Cucu, et al.
Plants (2022) Vol. 11, Iss. 15, pp. 1993-1993
Open Access | Times Cited: 13
Identifying the authenticity and geographical origin of rice by analyzing hyperspectral images using unsupervised clustering algorithms
Mahsa Edris, Mahdi Ghasemi‐Varnamkhasti, Sajad Kiani, et al.
Journal of Food Composition and Analysis (2023) Vol. 125, pp. 105737-105737
Closed Access | Times Cited: 6
Geographical and entomological differentiation of Philippine honey by multivariate analysis of FTIR spectra
Jeb Reece Grabato, Karl Ezra Pilario, Jose Rene L. Micor, et al.
Journal of Food Composition and Analysis (2022) Vol. 114, pp. 104853-104853
Open Access | Times Cited: 9
Towards authentication of entomological origin of honey in Bangladesh through molecular and biochemical approaches
Rukaia Zannat, Md Mamunur Rahman, Jannatul Yeasmin Joaty, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100543-100543
Open Access | Times Cited: 5
Identification of geographical and botanical origin of Mediterranean honeys using UV-vis spectroscopy and multivariate statistical analysis
Dafni Dimakopoulou‐Papazoglou, Νικόλαος Πλόσκας, Konstantinos Koutsoumanis, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 5, pp. 3923-3934
Open Access | Times Cited: 1
Detection of adulterations in native stingless bees honey from Argentina using UV–Vis spectroscopy coupled with chemometrics
Karenina Marcinkevicius, Gerardo P. Gennari, Virginia Salomón, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 9, pp. 7283-7294
Closed Access | Times Cited: 1
Enhanced uric acid detection using functionalized multi-walled carbon nanotube/AgNi nanocomposites: A comparative study on screen-printed carbon electrode (SPCE) and fabric-based biosensors
Yuan Alfinsyah Sihombing, Uperianti, Rizky Indah Sari, et al.
Sensors and Actuators Reports (2024) Vol. 8, pp. 100223-100223
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
Exploration of coarse-to-fine FTIR feature extraction for handlebar grip materials: A common path for forensic examination of microtraces
Yuanfeng Wang, Yubing Zhao, Xing Wang, et al.
Microchemical Journal (2023) Vol. 187, pp. 108399-108399
Closed Access | Times Cited: 4
A guide for quality control of honey: Application of UV–vis scanning spectrophotometry and NIR spectroscopy for determination of chemical profiles of floral honey produced in southern Brazil
Aline Nunes, Gadiel Zilto Azevedo, Beatriz Rocha dos Santos, et al.
Food and Humanity (2023) Vol. 1, pp. 1423-1435
Closed Access | Times Cited: 4
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