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Cited by in F6Publishing
For: Xu J, Liu K, Zhang C. Electronic nose for volatile organic compounds analysis in rice aging. Trends in Food Science & Technology 2021;109:83-93. [DOI: 10.1016/j.tifs.2021.01.027] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Summerson V, Gonzalez Viejo C, Torrico DD, Pang A, Fuentes S. Digital Smoke Taint Detection in Pinot Grigio Wines Using an E-Nose and Machine Learning Algorithms Following Treatment with Activated Carbon and a Cleaving Enzyme. Fermentation 2021;7:119. [DOI: 10.3390/fermentation7030119] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Tian X, Hao J, Wu F, Hu H, Zhou G, Liu X, Zhang T. 1-Pentadecene, a volatile biomarker for the detection of Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae) infested brown rice under different temperatures. Journal of Stored Products Research 2022;97:101981. [DOI: 10.1016/j.jspr.2022.101981] [Reference Citation Analysis]
3 Li W, Cui J, Li J, Guo J, Huang T, Zhang J, Hu H, Liu X. Analysis of the Fungi Community Variation during Rice Storage through High Throughput Sequencing. Processes 2022;10:754. [DOI: 10.3390/pr10040754] [Reference Citation Analysis]
4 Liu K, Zhang C, Xu J, Liu Q. Research advance in gas detection of volatile organic compounds released in rice quality deterioration process. Compr Rev Food Sci Food Saf 2021;20:5802-28. [PMID: 34668316 DOI: 10.1111/1541-4337.12846] [Reference Citation Analysis]
5 Rahimzadeh H, Sadeghi M, Mireei SA, Ghasemi-varnamkhasti M. Unsupervised modelling of rice aroma change during ageing based on electronic nose coupled with bio-inspired algorithms. Biosystems Engineering 2022;216:132-46. [DOI: 10.1016/j.biosystemseng.2022.02.010] [Reference Citation Analysis]
6 Zhang C, Li Y, Liu G, Liao H. Preparation of ZnO1-x by peroxide thermal decomposition and its room temperature gas sensing properties. Rare Met 2022;41:871-6. [DOI: 10.1007/s12598-021-01840-y] [Reference Citation Analysis]
7 Zhang C, Xu J, Li H, Liao H. Role of ruthenium incorporation on room-temperature nonanal sensing properties of Ru-loaded urchin-like W18O49 hierarchical nanostructure. Sensors and Actuators B: Chemical 2022;353:131096. [DOI: 10.1016/j.snb.2021.131096] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Zhang C, Huan Y, Li Y, Luo Y, Debliquy M. Low concentration isopropanol gas sensing properties of Ag nanoparticles decorated In2O3 hollow spheres. J Adv Ceram 2022;11:379-91. [DOI: 10.1007/s40145-021-0530-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
9 Wang Q, Zhang D, Zhao L, Liu J, Shang B, Yang W, Duan X, Sun H. Metabolomic Analysis Reveals Insights into Deterioration of Rice Quality during Storage. Foods 2022;11:1729. [PMID: 35741928 DOI: 10.3390/foods11121729] [Reference Citation Analysis]
10 Zhu L, Ma Q, Chen J, Zhao G. Current progress on innovative pest detection techniques for stored cereal grains and thereof powders. Food Chem 2022;396:133706. [PMID: 35868281 DOI: 10.1016/j.foodchem.2022.133706] [Reference Citation Analysis]
11 Sánchez R, Martín-Tornero E, Lozano J, Fernández A, Arroyo P, Meléndez F, Martín-Vertedor D. Electronic nose application for the discrimination of sterilization treatments applied to Californian-style black olive varieties. J Sci Food Agric 2021. [PMID: 34622476 DOI: 10.1002/jsfa.11561] [Reference Citation Analysis]
12 Sha J, Xu C, Xu K. Progress of Research on the Application of Nanoelectronic Smelling in the Field of Food. Micromachines 2022;13:789. [DOI: 10.3390/mi13050789] [Reference Citation Analysis]
13 Men H, Liu M, Shi Y, Yuan H, Liu J, Wang Q. Ultra-lightweight dynamic attention network combined with gas sensor for distinguishing the quality of rice. Computers and Electronics in Agriculture 2022;197:106939. [DOI: 10.1016/j.compag.2022.106939] [Reference Citation Analysis]
14 Zheng Z, Zhang C. Electronic noses based on metal oxide semiconductor sensors for detecting crop diseases and insect pests. Computers and Electronics in Agriculture 2022;197:106988. [DOI: 10.1016/j.compag.2022.106988] [Reference Citation Analysis]