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:

Rapid identification and semi-quantification of adulteration in walnut oil by using excitation–emission matrix fluorescence spectroscopy coupled with chemometrics and ensemble learning
Xiaozhi Wang, Hai‐Long Wu, Tong Wang, et al.
Journal of Food Composition and Analysis (2022) Vol. 117, pp. 105094-105094
Closed Access | Times Cited: 12

Showing 12 citing articles:

Effect and application of spray drying and freeze drying on characterization of walnut oil microcapsules
Mingming Wang, Hongyu Mu, Peng Lei, et al.
Journal of Food Engineering (2024) Vol. 376, pp. 112083-112083
Closed Access | Times Cited: 10

Extraction, chemical components, bioactive functions and adulteration identification of walnut oils: A review
Yuan Gao, Jia Hu, Xia Su, et al.
Grain & Oil Science and Technology (2024) Vol. 7, Iss. 1, pp. 30-41
Open Access | Times Cited: 7

Tracing the geographical origin of Chinese green tea based on fluorescent sensor array combined with multi-way chemometrics analyses
Xiaola Lin, Chunling Yin, Leqian Hu, et al.
Food Research International (2025), pp. 115838-115838
Closed Access

Classification of oils and margarines by FTIR spectroscopy in tandem with machine learning
Christabel Tachie, Daniel Obiri-Ananey, Marcela Alfaro‐Córdoba, et al.
Food Chemistry (2023) Vol. 431, pp. 137077-137077
Open Access | Times Cited: 15

Raman spectroscopy combined with multiple one-dimensional deep learning models for simultaneous quantification of multiple components in blended olive oil
Xijun Wu, Xin Zhang, Zherui Du, et al.
Food Chemistry (2023) Vol. 431, pp. 137109-137109
Closed Access | Times Cited: 13

Geographical origin traceability and authenticity detection of Chinese red wines based on excitation-emission matrix fluorescence spectroscopy and chemometric methods
Qiao Wu, Tao Geng, Meiling Yan, et al.
Journal of Food Composition and Analysis (2023) Vol. 125, pp. 105763-105763
Closed Access | Times Cited: 13

Research on nondestructive detection of sweet-waxy corn seed varieties and mildew based on stacked ensemble learning and hyperspectral feature fusion technology
Zhiyong Zou, Jiangbo Zhen, Qianlong Wang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 322, pp. 124816-124816
Closed Access | Times Cited: 2

Evaluation of different regression models for detection of adulteration of mustard and canola oil with argemone oil using fluorescence spectroscopy coupled with chemometrics
Kunal Shiv, Anupam Singh, Sachin Kumar, et al.
Food Additives & Contaminants Part A (2024) Vol. 41, Iss. 2, pp. 105-119
Closed Access

Spectroscopy and machine learning in food processing survey
Mahtem Teweldemedhin Mengstu, Alper Taner, Hüseyin Duran
BIO Web of Conferences (2024) Vol. 85, pp. 01022-01022
Open Access

Identification and quantification of adulterated collagen powder by fluorescence hyperspectral technology
Yi Lin, Youli Wu, Rongsheng Fan, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 7, pp. 5423-5436
Closed Access

Detection of E. coli using bacteriophage T7 and analysis of excitation‑emission matrix fluorescence spectroscopy
Nicharee Wisuthiphaet, Huanle Zhang, Xin Liu, et al.
Journal of Food Protection (2024) Vol. 87, Iss. 12, pp. 100396-100396
Open Access

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