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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:

Detection of Sesame Oil Adulteration Using Low-Field Nuclear Magnetic Resonance and Chemometrics
Ruiying Wang, Kangjing Liu, Xiao-Ling Wang, et al.
International Journal of Food Engineering (2019) Vol. 15, Iss. 7
Closed Access | Times Cited: 17

Showing 17 citing articles:

Microfluidic strategies for sample separation and rapid detection of food allergens
Wentao Su, Duo Liang, Mingqian Tan
Trends in Food Science & Technology (2021) Vol. 110, pp. 213-225
Closed Access | Times Cited: 52
Compact low-field NMR spectroscopy and chemometrics applied to the analysis of edible oils
Diego Galvan, Ailey Aparecida Coelho Tanamati, Federico Casanova, et al.
Food Chemistry (2021) Vol. 365, pp. 130476-130476
Open Access | Times Cited: 47
A rapid and low-cost method for detection of nine kinds of vegetable oil adulteration based on 3-D fluorescence spectroscopy
Meifeng Wu, Minmin Li, Bei Fan, et al.
LWT (2023) Vol. 188, pp. 115419-115419
Open Access | Times Cited: 17
Feasibility of Using a Cheap Colour Sensor to Detect Blends of Vegetable Oils in Avocado Oil
Natasha Dantas Lorenzo, Roney Alves da Rocha, Emmanouil H. Papaioannou, et al.
Foods (2024) Vol. 13, Iss. 4, pp. 572-572
Open Access | Times Cited: 4
Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning
Xuewen Hou, Guangli Wang, Xin Wang, et al.
Journal of the Science of Food and Agriculture (2020) Vol. 101, Iss. 6, pp. 2389-2397
Closed Access | Times Cited: 28
Chemometrics analysis of camellia oil authenticity using LF NMR and fatty acid GC fingerprints
Bokai Hu, Dongya Zhang, Yangyang Geng, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106447-106447
Closed Access | Times Cited: 3
Rapid Identification of Adulteration in Edible Vegetable Oils Based on Low-Field Nuclear Magnetic Resonance Relaxation Fingerprints
Zhiming Huang, Jia‐Xiang Xin, Shanshan Sun, et al.
Foods (2021) Vol. 10, Iss. 12, pp. 3068-3068
Open Access | Times Cited: 20
Near infrared (NIR) and fourier transform infrared (FTIR) spectroscopy combined with chemometrics for agrifood products analysis
Rohman Abdul, Listanti Riana, Lumakso Fajar Aji
Elsevier eBooks (2024), pp. 125-146
Closed Access | Times Cited: 2
Rapid and Simultaneous Measurement of Fat and Moisture Contents in Pork by Low-Field Nuclear Magnetic Resonance
Shuyue Tang, Yuhui Zhang, Wusun Li, et al.
Foods (2022) Vol. 12, Iss. 1, pp. 147-147
Open Access | Times Cited: 10
Targeted identification of camellia oil and olive oil adulterated with sesame or rice oil based on characteristic substances by HPLC-UV
Dan Ran, Xiaotu Chang, Hui Wang, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106432-106432
Closed Access | Times Cited: 1
Identification of chia, flax and sesame seeds authenticity markers by NMR-based untargeted metabolomics and their validation in bakery products containing them
Federico Iván Brigante, Manuela E. García, Andrés López Radcenco, et al.
Food Chemistry (2022) Vol. 387, pp. 132925-132925
Open Access | Times Cited: 6
Comparative analysis of vegetable oils by 1H NMR in low and high magnetic fields
G. S. Kupriyanova, М. Б. Смирнов, I. G. Mershiev, et al.
Journal of Food Composition and Analysis (2023) Vol. 126, pp. 105877-105877
Closed Access | Times Cited: 3
Non-destructive Detection of Sesame Oil Adulteration by Portable FT-NIR, FT-MIR, and Raman Spectrometers Combined with Chemometrics
Ahmed Menevşeoğlu
Journal of the Turkish Chemical Society Section A Chemistry (2021) Vol. 8, Iss. 3, pp. 775-786
Open Access | Times Cited: 7
Combining GC-MS and chemometrics to assess the quality of camellia seed oils
Simin Peng, Tianzhu Huang, Yali Peng, et al.
CyTA - Journal of Food (2021) Vol. 19, Iss. 1, pp. 625-633
Open Access | Times Cited: 4
Utilizing low-field NMR for comprehensive quality evaluation of edible oil and oil product
Xingyue Li, Lele Qu, Xia Su, et al.
Grain & Oil Science and Technology (2024)
Open Access
Introduction to food fraud
Paulo E. S. Munekata, Rubén Domínguez, Mirian Pateiro, et al.
Elsevier eBooks (2021), pp. 1-30
Closed Access | Times Cited: 1
Qualitative Analysis of Edible Oils Using Low Field $$^{1} $$H NMR Spectroscopy and Multivariate Statistical Methods
J. Aswathy, Surendra Singh Patel, Vamshi Krishna, et al.
Lecture notes in networks and systems (2021), pp. 791-803
Closed Access
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