Zhaofang Yang
Papers
1
Total Citations
27
H-Index
1
About
Zhaofang Yang is a leading researcher at the intersection of artificial intelligence, consumer behavior, and the food service industry. Her work focuses on leveraging intelligent systems to enhance dining experiences, with a particular emphasis on recommendation techniques and human-robot interaction in restaurants. Yang’s most-cited paper, "Application of Intelligent Recommendation Techniques for Consumers' Food Choices in Restaurants" (2018), has garnered 27 citations and explores how AI can personalize menu suggestions to improve customer satisfaction and operational efficiency. This foundational study addresses the growing trend of robotic servers and the need for adaptive, data-driven decision-making in modern hospitality. By integrating robotics, information technology, and consumer psychology, Yang’s research provides practical frameworks for restaurants to balance automation with personalized service. Her contributions are especially relevant as the industry evolves toward smarter, more responsive dining environments. With a focus on real-world applications, Yang’s work continues to influence both academic discourse and industry practices, making her a key voice in the future of AI-enhanced food service.
Research Focus
Key Achievements
Top Papers
- 1