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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:

Untargeted metabolomic analysis of Chinese red wines for geographical origin traceability by UPLC-QTOF-MS coupled with chemometrics
Yuan Pan, Hui‐Wen Gu, Yi Lv, et al.
Food Chemistry (2022) Vol. 394, pp. 133473-133473
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Untargeted metabolomics analysis based on LC-IM-QTOF-MS for discriminating geographical origin and vintage of Chinese red wine
Zhaoxiang Wang, Xiaoyi Chen, Qianqian Liu, et al.
Food Research International (2023) Vol. 165, pp. 112547-112547
Closed Access | Times Cited: 28
Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques
Hui‐Wen Gu, Huihui Zhou, Yi Lv, et al.
Journal of Food Composition and Analysis (2023) Vol. 119, pp. 105265-105265
Closed Access | Times Cited: 24
Metabolomics analysis based on UHPLC-QqQ-MS/MS to discriminate grapes and wines from different geographical origins and climatological characteristics
Lin Zhang, Zhaoxiang Wang, Cui Zhang, et al.
Food Chemistry X (2024) Vol. 22, pp. 101396-101396
Open Access | Times Cited: 6
Inorganic and organic constituent analysis: A data fusion strategy to differentiate between wines of different origins
Yingyue Su, Zhaoxiang Wang, Qianqian Liu, et al.
Food Control (2025), pp. 111150-111150
Closed Access
Untargeted Metabolomics Profiling for the Geographical Authentication of Traditional Pempek Using High-Resolution Orbitrap Mass Spectrometry
Agus Supriadi, Sherly Ridhowati, Daniel Saputra, et al.
Food Chemistry Advances (2025), pp. 100914-100914
Open Access
Characterization of wine volatile compounds from different regions and varieties by HS-SPME/GC-MS coupled with chemometrics
Lin Zhang, Qianqian Liu, Yuanyuan Li, et al.
Current Research in Food Science (2022) Vol. 6, pp. 100418-100418
Open Access | Times Cited: 29
A comparative UHPLC-QTOF-MS/MS-based metabolomics approach reveals the metabolite profiling of wolfberry sourced from different geographical origins
Yanting Li, Xiaoying Wang, Yuping Sa, et al.
Food Chemistry X (2024) Vol. 21, pp. 101221-101221
Open Access | Times Cited: 5
Geographical identification of Chinese wine based on chemometrics combined with mineral elements, volatile components and untargeted metabonomics
Kexiang Chen, Hongtu Xue, Qi Shi, et al.
Food Chemistry X (2024) Vol. 22, pp. 101412-101412
Open Access | Times Cited: 5
Geographical origin identification of Pujiang Kyoho grapes in China using stable isotope and elemental profiles
Hanyi Mei, Jing Nie, Mingzheng Pan, et al.
Food Control (2024) Vol. 162, pp. 110454-110454
Closed Access | Times Cited: 4
Phenolic metabolites changes during baijiu fermentation through non-targeted metabonomic
Derang Ni, Shuifang Mao, Yubo Yang, et al.
Food Chemistry X (2024) Vol. 23, pp. 101531-101531
Open Access | Times Cited: 4
Revealing the key antioxidant compounds and potential action mechanisms of Chinese Cabernet sauvignon red wines by integrating UHPLC-QTOF-MS-based untargeted metabolomics, network pharmacology and molecular docking approaches
Zhi-Xin Peng, Hui‐Wen Gu, Yuan Pan, et al.
Food Chemistry (2024) Vol. 460, pp. 140540-140540
Closed Access | Times Cited: 4
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
Insight into the effect of cultivar and altitude on the identification of EnshiYulu tea grade in untargeted metabolomics analysis
Dan Zou, Xiao-Li Yin, Hui‐Wen Gu, et al.
Food Chemistry (2023) Vol. 436, pp. 137768-137768
Closed Access | Times Cited: 11
Metabolomics analysis of physicochemical properties associated with quality deterioration in insect-infested hawthorn berries
Yunxia Cheng, Zhen-Ying Liu, Jian Yang, et al.
Food Chemistry (2024) Vol. 459, pp. 140374-140374
Closed Access | Times Cited: 3
GC-MS-based untargeted metabolomics reveals the key volatile organic compounds for discriminating grades of Yichang big-leaf green tea
Xiaoli Yin, Wen-Jing Fu, Ying Chen, et al.
LWT (2022) Vol. 171, pp. 114148-114148
Open Access | Times Cited: 20
UHPLC-QTOF-MS-based untargeted metabolomics and mineral element analysis insight into the geographical differences of Chrysanthemum morifolium Ramat cv. “Hangbaiju” from different origins
Wanjun Long, Xiuyun Bai, Siyu Wang, et al.
Food Research International (2022) Vol. 163, pp. 112186-112186
Closed Access | Times Cited: 19
The metabolism and dissipation behavior of tolfenpyrad in tea: A comprehensive risk assessment from field to cup
Zihan Wang, Fengjian Luo, Mingming Guo, et al.
The Science of The Total Environment (2023) Vol. 877, pp. 162876-162876
Closed Access | Times Cited: 10
Assessment of Wine Quality, Traceability and Detection of Grapes Wine, Detection of Harmful Substances in Alcohol and Liquor Composition Analysis
Mohamad Hesam Shahrajabian, Wenli Sun
Letters in Drug Design & Discovery (2023) Vol. 21, Iss. 8, pp. 1377-1399
Closed Access | Times Cited: 9
Revealing the chemical differences and their application in the storage year prediction of Qingzhuan tea by SWATH-MS based metabolomics analysis
Zhiquan Li, Xiaoli Yin, Hui‐Wen Gu, et al.
Food Research International (2023) Vol. 173, pp. 113238-113238
Closed Access | Times Cited: 9
Combining Untargeted Lipidomics Analysis and Chemometrics to Identify the Edible and Poisonous Mushrooms (Pleurotus cornucopiae vs Omphalotus japonicus)
Jiaxu Yao, Li Zhou, Yueqi Hu, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 21, pp. 8220-8229
Closed Access | Times Cited: 8
Discrimination and prediction of Qingzhuan tea storage year using quantitative chemical profile combined with multivariate analysis: Advantages of MRMHR based targeted quantification metabolomics
Zhiquan Li, Xiaoli Yin, Hui‐Wen Gu, et al.
Food Chemistry (2024) Vol. 448, pp. 139088-139088
Closed Access | Times Cited: 2
GC/MS-based untargeted metabolomics reveals the differential metabolites for discriminating vintage of Chenxiang-type baijiu
Na Wang, Lili Zhang, Li Fu, et al.
Food Research International (2024) Vol. 186, pp. 114319-114319
Closed Access | Times Cited: 2
Wine authentication: Current progress and state of the art
Nemanja Koljančić, Katarína Furdíková, A. A. Gomes, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104598-104598
Closed Access | Times Cited: 2
UHPLC-QTOF-MS-based untargeted metabolomics revealing the differential chemical constituents and its application on the geographical origins traceability of lily bulbs
Wanjun Long, Siyu Wang, Chengying Hai, et al.
Journal of Food Composition and Analysis (2023) Vol. 118, pp. 105194-105194
Closed Access | Times Cited: 7
Wine component tracing method based on near infrared spectrum fusion machine learning
Na Ta, Haicheng Wei, Zi-Lei Hu, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 6
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