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Peiqin Shi
Observed name:
Peiqin, Shi
Institutions:
Jiangnan University,
State Key Laboratory of Food Science and Technology,
Shanghai Institute of Technology
Observed institutions:
Jiangnan University,
State Key Laboratory of Food Science and Technology,
Shanghai Institute of Technology
ORCID:
0000-0001-6732-6265
Observed ORCID:
0000-0001-6732-6265
OpenAlex ID:
A5059265011
Data-Driven Elucidation of Flavor Chemistry
2023
·
Xingran Kou
, Peiqin Shi
, et al.
·
Journal of Agricultural and Food Chemistry
·
62
PDF
AI-driven exploration of microbial resources in fermented foods
2025
·
Peiqin Shi
, Shuangping Liu
, et al.
·
Trends in Food Science & Technology
·
14
TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry
2026
·
Peiqin Shi
, Mengfei Yang
, et al.
·
Journal of Food Composition and Analysis
·
2
Mapping sleep-promoting volatiles in aromatic plants with machine learning: a comprehensive survey of 2300 molecules
2026
·
Peiqin Shi
, Xing Huang
, et al.
·
Digital Discovery
·
2
PDF
Predicting Sweetness Intensity and Uncovering Quantitative Interactions of Mixed Sweeteners: A Machine Learning Approach
2026
·
Tiantian Du
, Gang He
, et al.
·
Foods
·
1
PDF
Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants
2026
·
Xin Hou
, Zhilei Zhou
, et al.
·
npj Science of Food
PDF
Integrated process optimization and microbial-flavor interactions during rapid Jiuyao–Zaopocu fermentation
2026
·
Wenxin Tian
, Tiantian Liu
, et al.
·
Systems Microbiology and Biomanufacturing
UniKineG: Unified-Coordinate Geometric Graphs Enable Robust Enzyme Kinetic Prediction
2026
·
Xueyu Wang
, Peiqin Shi
, et al.
·
International Journal of Molecular Sciences
PDF
TasteMolNet: A Machine Learning-Driven Platform for Sweet/Bitter Compound Prediction in Food Chemistry
2025
·
Peiqin Shi
, Mengfei Yang
, et al.
·
SSRN Electronic Journal
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Works count:
10
Citation count:
80
H-index:
2
I10-index:
2
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