Zhihui Ruan
Papers
1
Total Citations
7
H-Index
1
About
Zhihui Ruan is a forward-thinking researcher at the intersection of digital marketing, artificial intelligence, and machine learning. Their work explores how emerging technologies are fundamentally reshaping marketing strategies, moving beyond traditional approaches toward AI-driven consumer engagement and automated decision-making. Ruan’s most-cited paper, “Digital Marketing in the Artificial Intelligence and Machine Learning Age” (2019), has garnered 7 citations and serves as a foundational reference for scholars examining the transformative role of AI in marketing. This work highlights how digitization, robotics, and machine learning are enabling more personalized, efficient, and data-driven marketing practices. Ruan’s contributions are particularly valuable for students and practitioners seeking to understand the practical implications of AI in customer analytics, predictive modeling, and real-time campaign optimization. By bridging technical innovation with marketing theory, Ruan provides a clear roadmap for navigating the digital revolution. Their research continues to influence discussions on how businesses can leverage intelligent systems to build deeper customer relationships and achieve competitive advantage in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1