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:

Detection of adulterations in a valuable Brazilian honey by using spectrofluorimetry and multiway classification
Daphne Chiara Antônio, Débora Cristina Sampaio de Assis, Bruno Gonçalves Botelho, et al.
Food Chemistry (2021) Vol. 370, pp. 131064-131064
Closed Access | Times Cited: 24

Showing 24 citing articles:

Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches
Mourad Kharbach, Mohammed Alaoui Mansouri, Mohammed Taabouz, et al.
Foods (2023) Vol. 12, Iss. 14, pp. 2753-2753
Open Access | Times Cited: 51

A comprehensive review of the current trends and recent advancements on the authenticity of honey
Xiaohua Zhang, Hui‐Wen Gu, Renjun Liu, et al.
Food Chemistry X (2023) Vol. 19, pp. 100850-100850
Open Access | Times Cited: 34

Evolving trends in fluorescence spectroscopy techniques for food quality and safety: A review
Haiyang Gu, Leijie Hu, Yining Dong, et al.
Journal of Food Composition and Analysis (2024) Vol. 131, pp. 106212-106212
Closed Access | Times Cited: 7

Authentication of honey through chemometric methods based on FTIR spectroscopy and physicochemical parameters
Samir Cherigui, Ilyas Chikhi, Fayçal Dergal, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 6, pp. 4653-4664
Closed Access | Times Cited: 7

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

Adulteration quantification of cheap honey in high-quality Manuka honey by two-dimensional correlation spectroscopy combined with deep learning
Xi-Jun Wu, Baoran Xu, Hao Luo, et al.
Food Control (2023) Vol. 154, pp. 110010-110010
Closed Access | Times Cited: 18

Chicanery in the food supply chain! Food fraud, mitigation, and research needs in low-income countries
Willis Gwenzi, Zakio Makuvara, Jerikias Marumure, et al.
Trends in Food Science & Technology (2023) Vol. 136, pp. 194-223
Closed Access | Times Cited: 17

Rapid, reliable and easy-to-perform chemometric-less method for rice syrup adulterated honey detection using FTIR-ATR
J. Cárdenas-Escudero, David Galán‐Madruga, Jorge O. Cáceres
Talanta (2022) Vol. 253, pp. 123961-123961
Open Access | Times Cited: 22

Application of an Electronic Nose as a New Technology for Rapid Detection of Adulteration in Honey
Wellington Belarmino Gonçalves, Wanderson Sirley Reis Teixeira, Evelyn Perez Cervantes, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4881-4881
Open Access | Times Cited: 10

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

Computer vision analysis of sample colors versus quadruple-disk iridium-platinum voltammetric e-tongue for recognition of natural honey adulteration
Szymon Wójcik, Filip Ciepiela, Małgorzata Jakubowska
Measurement (2023) Vol. 209, pp. 112514-112514
Closed Access | Times Cited: 6

Rapid detection and quantification of adulteration in saffron by excitation–emission matrix fluorescence combined with multi‐way chemometrics
Yue Chen, Hai‐Long Wu, Tong Wang, et al.
Journal of the Science of Food and Agriculture (2023) Vol. 104, Iss. 3, pp. 1391-1398
Closed Access | Times Cited: 5

Phenolic compound, organic acid, mineral, and carbohydrate profiles of pine and blossom honeys
Duygu Nur Çobanoğlu, İsmail Emir Akyıldız, İlginç Kızılpınar Temizer, et al.
European Food Research and Technology (2023) Vol. 249, Iss. 6, pp. 1503-1515
Closed Access | Times Cited: 5

A novel 3D-fluorescence sensing strategy based on HN-chitosan polymer probe for rapid identification and quantification of potential adulteration in saffron
Wanjun Long, Gaoqiong Deng, Yanmei Zhu, et al.
Food Chemistry (2023) Vol. 429, pp. 136902-136902
Closed Access | Times Cited: 3

Two-way and three-way resolutions of fluorescence excitation-emission dataset for the co-estimation of two pharmaceuticals in a binary mixture
Erdal Dіnç, Zehra Ceren Ertekіn, Eda Büker
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 239, pp. 104873-104873
Closed Access | Times Cited: 2

A Semi-Quantitative One-Class Modeling Method for Detecting Honey Adulteration Using Two-Class Limits
Glòria Rovira, Carolina Sheng Whei Miaw, Laura Lima de Oliveira, et al.
(2024)
Closed Access

Differentiation of water samples based on sensor array of silver nanoparticles
Masoud Shariati‐Rad, Mahya Hosseinpouri
Chemical Papers (2024) Vol. 78, Iss. 10, pp. 6083-6095
Closed Access

A novel honey authenticity detection system based on external cavity quantum cascade laser
Yachao Liu, Yuan Gao, Leizi Jiao, et al.
LWT (2023) Vol. 182, pp. 114827-114827
Open Access | Times Cited: 1

Food Forensics
Nicola Cavallini, Alessandra Biancolillo, Lorenzo Strani, et al.
Royal Society of Chemistry eBooks (2023), pp. 90-136
Closed Access | Times Cited: 1

Dipicolinic Acid-Tb3+/Eu3+ Lanthanide Fluorescence Sensor Array for Rapid and Visual Discrimination of Botanical Origin of Honey
Xijuan Tu, Yunmin Tao, Jiaxu Chen, et al.
Foods (2022) Vol. 11, Iss. 21, pp. 3388-3388
Open Access | Times Cited: 2

Special issue – XI Brazilian Chemometrics Workshop Preface
Sérgio L.C. Ferreira, Ieda Spacino Scarmínio, Germano Véras, et al.
Food Chemistry (2022) Vol. 390, pp. 133113-133113
Closed Access | Times Cited: 1

Discriminant Model Exploration for Classification Stingless Honey Fluorescence Data Spectra with Principal Component Analysis (PCA)
Hata Maulana, Y. Aris Purwanto, Sony Hartono Wijaya, et al.
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 145-150
Closed Access

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