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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:

Fusion of a low-cost electronic nose and Fourier transform near-infrared spectroscopy for qualitative and quantitative detection of beef adulterated with duck
Fangkai Han, Xingyi Huang, Joshua Harrington Aheto, et al.
Analytical Methods (2022) Vol. 14, Iss. 4, pp. 417-426
Closed Access | Times Cited: 21

Showing 21 citing articles:

Applications of Electronic Nose, Electronic Eye and Electronic Tongue in Quality, Safety and Shelf Life of Meat and Meat Products: A Review
Paulo E. S. Munekata, Sarah Finardi, Carolina Krebs de Souza, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 672-672
Open Access | Times Cited: 39
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
Applications of lipidomics in goat meat products: Biomarkers, structure, nutrition interface and future perspectives
Wei Jia, Chenna Di, Lin Shi
Journal of Proteomics (2022) Vol. 270, pp. 104753-104753
Open Access | Times Cited: 48
Rapid discrimination of quality grade of black tea based on near-infrared spectroscopy (NIRS), electronic nose (E-nose) and data fusion
Hongling Xia, Wei Chen, Die Hu, et al.
Food Chemistry (2023) Vol. 440, pp. 138242-138242
Closed Access | Times Cited: 33
Application of artificial intelligence (AI)-enhanced biochemical sensing in molecular diagnosis and imaging analysis: Advancing and challenges
Haiqin Li, Hong Xu, Yanlei Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 174, pp. 117700-117700
Closed Access | Times Cited: 8
Automated Detection of Porcine Gelatin Using Deep Learning-Based E-Nose to Support Halal Authentication
Kunti Mahmudah, Muhammad Kunta Biddinika, Dhias Cahya Hakika, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2025) Vol. 7, Iss. 1, pp. 220-230
Open Access
Rapid determination of rice protein content using near-infrared spectroscopy coupled with feature wavelength selection
Jinming Liu, Xin Luo, Dongjie Zhang, et al.
Infrared Physics & Technology (2023) Vol. 135, pp. 104969-104969
Closed Access | Times Cited: 18
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
Rapid analysis technologies with chemometrics for food authenticity field: A review
Zixuan Zhang, Yalan Li, Shanshan Zhao, et al.
Current Research in Food Science (2024) Vol. 8, pp. 100676-100676
Open Access | Times Cited: 5
Research Progress on Quality Detection of Livestock and Poultry Meat Based on Machine Vision, Hyperspectral and Multi-Source Information Fusion Technologies
Zeyu Xu, Yu Han, Dianbo Zhao, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 469-469
Open Access | Times Cited: 5
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
Rapid detection of adulterated lamb meat using near infrared and electronic nose: A F1-score-MRE data fusion approach
Wenshen Jia, Yingdong Qin, Changtong Zhao
Food Chemistry (2023) Vol. 439, pp. 138123-138123
Closed Access | Times Cited: 8
Olfactory imaging technology and detection platform for detecting pork meat freshness based on IoT
Jingui Zhang, Jizhong Wu, Wenya Wei, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108384-108384
Closed Access | Times Cited: 7
Machine Learning-Assisted Portable Microplasma Optical Emission Spectrometer for Food Safety Monitoring
Tian Ren, Yao Lin, Yubin Su, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 13, pp. 5170-5177
Closed Access | Times Cited: 1
Adulteration Detection of Pork in Mutton Using Smart Phone with the CBAM-Invert-ResNet and Multiple Parts Feature Fusion
Zongxiu Bai, Rongguang Zhu, Dongyu He, et al.
Foods (2023) Vol. 12, Iss. 19, pp. 3594-3594
Open Access | Times Cited: 2
Research Progress of Electronic Nose and Near-Infrared Spectroscopy in Meat Adulteration Detection
Xu Sun, Songlin Wang, Wenshen Jia
Chemosensors (2024) Vol. 12, Iss. 3, pp. 35-35
Open Access
Authentication of duck blood tofu binary and ternary adulterated with cow and pig blood-based gel using Fourier transform near-infrared coupled with fast chemometrics
Fangkai Han, Ming Li, Joshua Harrington Aheto, et al.
Frontiers in Nutrition (2022) Vol. 9
Open Access | Times Cited: 3
Novel Incremental Regularized Extreme Learning Machine Method Based on Improved Particle Swarm Optimization for Nonlinear Multivariate Calibration of Visible and Near-Infrared Spectroscopy
Lina Li, Dengshan Li
Analytical Letters (2023) Vol. 57, Iss. 3, pp. 484-502
Closed Access | Times Cited: 1
Electronic Nose-Based Monitoring of Chicken Freshness in Room and Refrigerated Storage
Chotimah Chotimah, Khalid Saifullah, Fitri Nur Laily, et al.
(2023)
Closed Access | Times Cited: 1
Tracing models for checking beef adulterated with pig blood by Fourier transform near-infrared paired with linear and nonlinear chemometrics
Mingdong LI, Joshua Harrington Aheto, Marwan M.A. Rashed, et al.
Food Science and Technology (2023) Vol. 43
Open Access
Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging
Abeer Alshejari, Vassilis Kodogiannis, Stavros Leonidis
Sensors (2023) Vol. 23, Iss. 23, pp. 9451-9451
Open Access
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