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Foods (Basel, Switzerland)|January 25, 2025
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food SafetyHaohan Ding, Haoke Hou, Long Wang, et al.Foods (Basel, Switzerland)|March 11, 2023
Application of Three-Dimensional Digital Photogrammetry to Quantify the Surface Roughness of Milk PowderHaohan Ding, David I Wilson, Wei Yu, et al.Current Research in Food Science|March 2, 2026
Predicting aflatoxin M1 in raw milk using machine learning and basic measurementsHaohan Ding, Long Wang, Xiaodong Song, et al.Food Chemistry|April 13, 2026
Multimodal large language models for food safety detection within deep learning frameworks: a reviewHaohan Ding, Chengcheng Chen, Xiaodong Song, et al.Foods (Basel, Switzerland)|May 28, 2022
Assessing and Quantifying the Surface Texture of Milk Powder Using Image ProcessingHaohan Ding, David I Wilson, Wei Yu, et al.Foods (Basel, Switzerland)|December 23, 2023
The Application of Artificial Intelligence and Big Data in the Food IndustryHaohan Ding, Jiawei Tian, Wei Yu, et al.Foods (Basel, Switzerland)|November 9, 2024
Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational ReformHaohan Ding, Zhenqi Xie, Chao Wang, et al.Foods (Basel, Switzerland)|August 6, 2020
Effects of Morphology on the Bulk Density of Instant Whole Milk PowderHaohan Ding, Bing Li, Irina Boiarkina, et al.Food Chemistry|March 8, 2026
Research on solubility prediction method for milk powder quality assessment: based on morphological characteristicsHaohan Ding, Yinghao Yang, Xiaodong Song, et al.Sensors (Basel, Switzerland)|February 13, 2026
Data-Driven Soft Sensing for Raw Milk Ethanol Stability PredictionSong Shen, Xiaodong Song, Haohan Ding, et al.Pageof 986