Papers
2
Total Citations
27
H-Index
2
About
Zhi-Hong Jiang is a pioneering researcher whose work bridges the fields of social media analytics and robotics. His key research areas include online user behavior modeling, complex systems analysis, and bio-inspired robotic locomotion. Jiang’s major contributions are twofold: in computational social science, he developed novel methods for classifying Twitter users by applying multi-scale entropy to behavioral time series, enabling more nuanced understanding of information dissemination, spam detection, and political organizing on social platforms. His 2014 paper on this topic has garnered 14 citations and remains a foundational reference for entropy-based user profiling. In robotics, Jiang introduced the BIT Climber, a centrifugal impeller-based wall climbing robot, through a 2009 paper (13 citations) that established hydromechanical models and optimization frameworks for all centrifugal impeller climbing systems. This work advanced practical applications in inspection, maintenance, and search-and-rescue operations. By integrating rigorous mathematical modeling with real-world engineering challenges, Jiang’s research continues to inspire students and researchers exploring the intersection of human behavior analysis and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Identifying user behavior on Twitter based on multi-scale entropy14 citations · 2014
- 2BIT Climber: A centrifugal impeller-based wall climbing robot13 citations · 2009