Hongjun Zeng

Papers

Total Citations

H-Index

About

Hongjun Zeng is a leading researcher at the intersection of artificial intelligence, clean energy, and financial econometrics. His work is distinguished by its innovative application of time-frequency and network analysis to unravel the complex, dynamic linkages between emerging technologies and sustainable energy markets. In his highly cited 2024 paper, "Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices" (73 citations), Zeng provides a rigorous, quantitative framework for understanding how AI indices co-move with clean energy indices across different investment horizons and during periods of market stress. This contribution is pivotal for policymakers and investors seeking to navigate the volatility and interdependence of these critical sectors. Beyond this landmark study, Zeng’s broader research portfolio consistently advances the methodology for analyzing extreme risk spillovers and nonlinear dependencies in financial systems. His work has garnered significant attention, demonstrating a clear impact on both academic discourse and practical decision-making in sustainable finance. Zeng’s ability to bridge cutting-edge computational techniques with pressing real-world challenges marks him as a vital voice in the future of energy and technology economics.