Gaozhe Jiang

National University of Singapore

Papers

2

Total Citations

16

H-Index

2

About

Gaozhe Jiang is an emerging researcher at the intersection of artificial intelligence and financial technology, with a focus on applying deep learning and intelligent systems to modernize financial services. Jiang's most notable contribution, "Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance" (2025), has already garnered 14 citations, a remarkable achievement for such a recent publication. This work proposes a next-generation robo-advisor framework that harnesses deep neural networks to deliver tailored, data-driven investment recommendations — directly addressing the limitations of traditional advisory models in an increasingly complex financial landscape. Complementing this, Jiang's 2024 paper on integrating AI with financial accounting processes explores how intelligent tools such as industry-financial software are fundamentally reshaping accounting and management paradigms. Together, these works position Jiang as a thoughtful voice in the fintech research community, examining both the innovations and practical challenges that arise as AI becomes embedded in core financial operations. With a citation trajectory that signals growing scholarly interest, Jiang represents a promising contributor to the rapidly evolving field of AI-driven financial systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance
14 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: National University of Singapore

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago