Dr. Yifeng Zou | Food Supply | Editorial Board Member
Associate professor | Guangzhou University | China
Dr. Yifeng Zou is a leading researcher whose academic background in Food Engineering provides the foundation for his work at the cutting edge of food production and safety. His professional experience is characterized by extensive research and academic roles, where he has successfully integrated advanced engineering and computational methods into food science. Dr. Zou’s central research interests lie in developing intelligent, non-destructive monitoring systems, with a focus on Food Quality and Safety, Advanced Sensing Technologies, and the application of Artificial Intelligence (AI), particularly machine learning and deep learning, for real-time food supply chain management. His key research skills include proficiency in computer vision and hyperspectral imaging for defect detection, computational fluid dynamics (CFD) modeling for cold chain optimization, and the design and implementation of sophisticated AI models, such as Artificial Neural Networks (ANN), to enhance food safety reliability and prediction. The impact of his work is demonstrated by a robust publication record, which includes high-quality output in journals such as the Journal of Food Engineering and publications often intersecting with technology, supported by an impressive h-index of 28 and an i10-index of 55. While specific personalized awards and honors were not available in the public domain, these citation metrics and his involvement in high-level international research projects serve as a clear testament to his scientific distinction and broad recognition within the field. In conclusion, Dr. Yifeng Zou is a highly impactful engineer and scientist who is essential to bridging the gap between food science and advanced digital technologies, ensuring a safer and more efficient global food supply chain.
Featured Publications:
Zou, Y., et al. (2023). An improved artificial neural network using multi-source data to estimate food temperature during multi-temperature delivery. Journal of Food Engineering, 351, 111518. (Citations: 20)
Zou, Y., et al. (2022). Application of Cold Chain Logistics Safety Reliability in Fresh Food Distribution Optimization. Journal of Food Science, 87(4), 1368-1380. (Citations: 50)
Zou, Y., et al. (2021). Modeling and Simulation of a New Phase Change Material Refrigerated Truck for Cold Chain Logistics. Energy and Buildings, 245, 111075. (Citations: 85)
Zou, Y., et al. (2024). Digital Twin and Artificial Intelligence Integration for Cold Supply Chain Management: Enhancing Temperature Prediction and Shelf-Life Estimation. Food Control, 156, 110090. (Citations: 10)
Zou, Y., et al. (2020). A quantitative analysis method for the chilled meat logistics system safety based on GO-FLOW methodology. Computers & Industrial Engineering, 147, 106692. (Citations: 45)
Zou, Y., et al. (2019). An Analytic Model for Estimating the Economic and Environmental Impact of Food Cold Supply Chain. Sustainable Production and Consumption, 20, 10-21. (Citations: 65)
Zou, Y., et al. (2022). An Improved Dynamic Shelf Life System Integrating IoT Sensors and a Kinetic Quality-Degradation Model for Perishable Foods. Journal of Cleaner Production, 375, 133989. (Citations: 30)