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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:

Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network
Xijun Wu, Baoran Xu, Renqi Ma, et al.
Vibrational Spectroscopy (2022) Vol. 123, pp. 103439-103439
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Mechanisms and Health Aspects of Food Adulteration: A Comprehensive Review
Mysha Momtaz, Saniya Yesmin Bubli, Mohidus Samad Khan
Foods (2023) Vol. 12, Iss. 1, pp. 199-199
Open Access | Times Cited: 74
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
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 35
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
R. K. Goyal, Poonam Singha, Sushil Kumar Singh
Trends in Food Science & Technology (2024) Vol. 146, pp. 104377-104377
Closed Access | Times Cited: 29
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
Yan Wang, Hui‐Wen Gu, Xiaoli Yin, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104396-104396
Closed Access | Times Cited: 13
Advanced detection tools in food fraud: A systematic review for holistic and rational detection method based on research and patents
Annadurai Vinothkanna, Owias Iqbal Dar, Zhu Liu, et al.
Food Chemistry (2024) Vol. 446, pp. 138893-138893
Open Access | Times Cited: 11
Quantitative determination of acid value in palm oil during thermal oxidation using Raman spectroscopy combined with deep learning models
Shuxin Liang, Guoqing Chen, Chaoqun Ma, et al.
Food Chemistry (2025), pp. 143107-143107
Closed Access
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
Application of stable isotope and mineral element fingerprint in identification of Hainan camellia oil producing area based on convolutional neural networks
Jiashun Fu, Junhao Wang, Zhe Chen, et al.
Food Control (2023) Vol. 150, pp. 109744-109744
Closed 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
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
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
Volatilomic with chemometrics: a toward authentication approach for food authenticity control
Mohammad Noshad, Behrooz Alizadeh Behbahani, Ioannis K. Karabagias
European Food Research and Technology (2023) Vol. 249, Iss. 9, pp. 2215-2226
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
Rapid authenticity identification of high-quality Wuyi Rock tea by multidimensional fluorescence spectroscopy coupled with chemometrics
Huan Fang, Tong Wang, Lan Chen, et al.
Journal of Food Composition and Analysis (2024) Vol. 135, pp. 106632-106632
Closed Access | Times Cited: 1
Spectral encoder to extract the efficient features of Raman spectra for reliable and precise quantitative analysis
Chi Gao, Qi Fan, Peng Zhao, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 312, pp. 124036-124036
Closed Access | Times Cited: 1
Detection of honey adulteration using machine learning
Esmael Ahmed
PLOS Digital Health (2024) Vol. 3, Iss. 6, pp. e0000536-e0000536
Open Access | Times Cited: 1
Rapid Assessment of Molasses Adulterated Honey Using Laser Raman Spectroscopy and Principal Component Analysis
Ikedi I. O. Robert, Z. Birech, M.I. Kaniu
Food Analytical Methods (2023) Vol. 16, Iss. 11-12, pp. 1702-1710
Closed Access | Times Cited: 4
Rapid quantitative analysis of Rongalite adulteration in rice flour using autoencoder and residual-based model associated with portable Raman spectroscopy
Shiwen Li, Tian Li, Yaoyi Cai, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 304, pp. 123382-123382
Closed Access | Times Cited: 2
Rapid Authenticity Identification of High-Quality Wuyi Rock Tea by Excitation-Emission Matrix Fluorescence Fingerprint Coupled with Chemometrics
Huan Fang, Tong Wang, Lan Chen, et al.
(2024)
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
Detecting Honey Adulteration: Advanced Approach Using UF-GC Coupled with Machine Learning
Irene Punta-Sánchez, Tomasz Dymerski, José Luis P. Calle, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7481-7481
Open Access
Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model
Shuxin Liang, Guoqing Chen, Chaoqun Ma, et al.
Food Analytical Methods (2024)
Closed Access
Non-destructive Analytical Technologies for the Analysis of Honey and Related Bee-Based Products
Marco Ciulu, Ariana Raluca Hategan, Maria David, et al.
(2024), pp. 281-302
Closed Access
Raman Spectroscopy-based Prediction of Ofloxacin Concentration in Solution Using a Novel Loss Function and an Improved GA-CNN Model
Chenyu Ma, Yuanbo Shi, Yueyang Huang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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