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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:

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

Showing 18 citing articles:

Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 42
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
Data fusion of near-infrared and Raman spectroscopy: An innovative tool for non-destructive prediction of the TVB-N content of salmon samples
Minqiang Guo, Hong Lin, Kaiqiang Wang, et al.
Food Research International (2024) Vol. 189, pp. 114564-114564
Closed 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
Surface hardness determination of laser cladding using laser-induced breakdown spectroscopy and machine learning (PLSR, CNN, ResNet, and DRSN)
Jiacheng Yang, Linghua Kong, Hongji Ye
Applied Optics (2024) Vol. 63, Iss. 10, pp. 2509-2509
Closed Access | Times Cited: 3
A method for accurate identification of Uyghur medicinal components based on Raman spectroscopy and multi-label deep learning
Xiaotong Xin, Xuecong Tian, Cheng Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 315, pp. 124251-124251
Closed Access | Times Cited: 3
Detection of the thaumatin-like protein gene from Brassica rapa var. oleifera in honey with the Proofman-LMTIA method
Wei Yao, Dandan Xu, Dan Zhou, et al.
CyTA - Journal of Food (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
A method for freshness detection of pork using two-dimensional correlation spectroscopy images combined with dual-branch deep learning
Jun Sun, Jiehong Cheng, Min Xu, et al.
Journal of Food Composition and Analysis (2024) Vol. 129, pp. 106144-106144
Closed Access | Times Cited: 1
Development of FTIR-ATR Spectra and PLS Regression Combination Model for Discrimination of Pure and Adulterated Acacia Honey
Rafieh Fakhlaei, Arman Amani Babadi, M.A. Naziruddin, et al.
Food Control (2024) Vol. 169, pp. 110996-110996
Closed Access | Times Cited: 1
Explainable AI-driven wavelength selection for hyperspectral imaging of honey products
Guyang Zhang, Waleed H. Abdulla
Food Chemistry Advances (2023) Vol. 3, pp. 100491-100491
Open Access | Times Cited: 3
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
Application of Two-Dimensional Correlation Spectroscopy to Chemical Analysis
M. E. Muratova, Ivan V. Mikheev, Dmitry S. Volkov, et al.
Journal of Analytical Chemistry (2024) Vol. 79, Iss. 4, pp. 339-365
Closed Access
Raman spectroscopy methods in honey characterization, authentication and adulteration
Ayaz Mukarram Shaikh, Lipsa Panda, Tejas Suthaar, et al.
Elsevier eBooks (2024), pp. 243-257
Closed Access
Assessment of comprehensive PAH index in roasted Tan lamb by two‐dimensional correlation spectroscopy combined with hyperspectral imaging
Sichun Chen, Songlei Wang
Journal of Food Science (2024) Vol. 89, Iss. 8, pp. 4791-4805
Closed Access
Classification of Chinese hickory with different aging times using two-dimensional correlation spectral (2DCOS) images combined with transfer learning
Zhu Zhou, Yujia Dai, Anna Jiang, et al.
Microchemical Journal (2024), pp. 112266-112266
Closed 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
Use of two-dimensional correlation spectroscopy in chemical analysis
M. E. Muratova, Ivan V. Mikheev, Dmitry S. Volkov, et al.
Журнал аналитической химии (2024) Vol. 79, Iss. 5, pp. 393-424
Closed Access
Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities
Puja Das, Ammar B. Altemimi, Pinku Chandra Nath, et al.
Food Chemistry (2024) Vol. 468, pp. 142439-142439
Closed Access
Physicochemical Properties of Raw and Processed Monofloral Stingless Bee Honey from Malaysian Acacia
Zaleha Mahmod, Wan Iryani Wan Ismail, Khairul Anuar Mat Amin
(2023)
Closed Access
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