Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 quantification of vegetable oil adulteration in raw milk using a flash gas chromatography electronic nose combined with machine learning
Huaixiang Tian, Di Wu, Bin Chen, et al.
Food Control (2023) Vol. 150, pp. 109758-109758
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Enhancing food authentication through E-nose and E-tongue technologies: Current trends and future directions
Naveen Kumar Mahanti, Shivashankar Sanganamoni, Krishna Bahadur Chhetri, et al.
Trends in Food Science & Technology (2024) Vol. 150, pp. 104574-104574
Closed Access | Times Cited: 14
A comprehensive review of machine learning and its application to dairy products
Paulina Freire, Diego Alencar Freire, Carmen C. Licón
Critical Reviews in Food Science and Nutrition (2024), pp. 1-16
Closed Access | Times Cited: 10
Electronic nose and its application in the food industry: a review
Mingyang Wang, Yinsheng Chen
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 21-67
Closed Access | Times Cited: 16
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: 15
A food quality detection method based on electronic nose technology
Mingyang Wang, Yinsheng Chen, Deyun Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056004-056004
Open Access | Times Cited: 5
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
Rapid prediction of the aroma type of plain yogurts via electronic nose combined with machine learning approaches
Hong Zeng, Haoying Han, Yidi Huang, et al.
Food Bioscience (2023) Vol. 56, pp. 103269-103269
Closed Access | Times Cited: 12
Hydrogen peroxide responsive smart colorimetric indicator based on Titanium Oxysulfate/Guar Gum coating for monitoring the freshness of milk
Lingala Lakshman Rao, Dakuri Ramakanth, Konala Akhila, et al.
Food Control (2024) Vol. 165, pp. 110699-110699
Closed Access | Times Cited: 3
A novel method for H2S concentration prediction under small sample based on ECA-1DCNN-XGBR
Jiaxin Yue, Fan Wu, Xue Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 20167-20176
Closed Access | Times Cited: 2
Assessing synthetic milk through the detection of anionic detergents in milk: a concise review
Norliza Julmohammad, E Tan, Wee Yin Koh, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1377, Iss. 1, pp. 012028-012028
Open Access | Times Cited: 2
Innovative strategies for protein content determination in dried laver (Porphyra spp.): Evaluation of preprocessing methods and machine learning algorithms through short-wave infrared imaging
Eunghee Kim, Jong‐Jin Park, Gyuseok Lee, et al.
Food Chemistry X (2024) Vol. 23, pp. 101763-101763
Open Access | Times Cited: 2
Combination of the electronic nose with microbiology as a tool for rapid detection of Salmonella
Wellington Belarmino Gonçalves, Wanderson Sirley Reis Teixeira, Aryele Nunes da Cruz Encide Sampaio, et al.
Journal of Microbiological Methods (2023) Vol. 212, pp. 106805-106805
Closed Access | Times Cited: 6
Review of computer‐aided methods in fat crystallization studies
A. Qi, Zhang Lu
Journal of the American Oil Chemists Society (2024) Vol. 101, Iss. 11, pp. 1253-1266
Closed Access | Times Cited: 1
Nanostructured Materials and Design Concept for Electronic Nose
K.V. Patil, R.S. Redekar, A. A. Bhoite, et al.
Advanced structured materials (2024), pp. 43-69
Closed Access | Times Cited: 1
Frontiers of machine learning in smart food safety
Jinxin Liu, Jessica Bensimon, Xiaonan Lu
Advances in food and nutrition research (2024), pp. 35-70
Closed Access | Times Cited: 1
Overview of industrial food fraud and authentication through chromatography technique and its impact on public health
Nabila Aslam, Rida Fatima, Ammar B. Altemimi, et al.
Food Chemistry (2024) Vol. 460, pp. 140542-140542
Closed Access | Times Cited: 1
Electronic nose combines an effective deep learning method to identify the rice quality under different storage conditions and storage periods
Xiaoyan Tang, Na Wang
Sensors and Actuators A Physical (2024), pp. 115930-115930
Closed Access | Times Cited: 1
Rapid determination of the storage time of cold-pressed berry seed oils using flash gas chromatography E-Nose coupled with chemometrics
Yolanda Victoria Rajagukguk, Chiara Cevoli, Ilaria Grigoletto, et al.
Journal of Food Engineering (2023) Vol. 364, pp. 111795-111795
Open Access | Times Cited: 2
An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Wan Nur Fadhlina Syamimi Wan Azman, Ku Nurul Fazira Ku Azir, A. M. Khairuddin
Journal of Information and Communication Technology (2024) Vol. 23, Iss. 2, pp. 253-292
Open Access
Machine Learning Algorithms for Smart Gas Sensor Arrays
Vishnu G. Nath, Somalapura Prakasha Bharath, Anusha Dsouza, et al.
Advanced structured materials (2024), pp. 185-225
Closed Access
Machine learning-assisted electronic nose and gas sensors
Chenxu Yu, Jeong‐Yeol Yoon
Elsevier eBooks (2024), pp. 83-112
Closed Access
Investigation of fraud in the production of butter: a forensic case study of criminal association
Leice Milla Ribeiro de Novais, Vinícius Kemper Melara, Kahlil Schwanka Salomé, et al.
Food Additives & Contaminants Part A (2024) Vol. 41, Iss. 10, pp. 1219-1231
Closed Access
Enhancing Electronic Nose Performance for Differentiating Civet and Non‐Civet Roasted Bean Coffee Using Polynomial Feature Extraction Methods
Nasrul Ihsan, Kombo Othman Kombo, Frendy Jaya Kusuma, et al.
Flavour and Fragrance Journal (2024)
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
Enhanced Detection of Milk Fat Adulteration Using SMS Fiber Sensor
Sakshi Basangar, Amitesh Kumar, Deep Pal, et al.
Fiber & Integrated Optics (2024), pp. 1-19
Closed Access
Page 1 - Next Page

Scroll to top