Zhongyu Chen

Beijing University of Technology

Papers

1

Total Citations

5

H-Index

1

About

Zhongyu Chen is an emerging scholar in financial technology and investment analytics, with a focused research interest in the intersection of algorithmic advising and exchange-traded fund (ETF) markets. Chen’s most-cited work, “The robo-advisor for ETF funds in China: influences and determinants” (2023), provides a pioneering empirical analysis of how automated investment platforms affect ETF returns in the Chinese market. This study not only evaluates the performance impact of robo-advisors but also identifies key ETF characteristics that determine their effectiveness, offering critical insights for both practitioners and regulators navigating the rapid digitization of asset management. With 5 citations since publication, this paper has quickly become a reference point for researchers exploring robo-advisory in emerging markets. Chen’s contributions are particularly valuable for students and researchers interested in the behavioral and structural determinants of algorithmic trading, as well as the unique dynamics of China’s rapidly evolving financial landscape.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
The robo-advisor for ETF funds in China: influences and determinants
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago