Xingjian Han

Boston University

Papers

1

Total Citations

12

H-Index

1

About

Xingjian Han is a rising force in human motion analysis, bridging computer graphics, biomechanics, and robotics. His research centers on the physical plausibility of human movement—a critical challenge for applications ranging from animation and sports science to vision and robotics. Han’s most notable contribution is the introduction of **GroundLink**, a groundbreaking dataset that unifies 3D human body motion with ground reaction dynamics, enabling more physically realistic simulations without full physics engines. This work, published in 2023, has already garnered 12 citations and is gaining traction as a foundational resource for researchers seeking to validate motion plausibility. By treating ground reaction forces as a key constraint, Han’s approach offers a practical shortcut to realistic animation and biomechanical analysis. His work stands out for its interdisciplinary impact, offering tools that benefit both technical fields and applied sciences. As an early-career researcher, Han is quickly establishing himself as a key innovator in making virtual humans move more like real ones.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
GroundLink: A Dataset Unifying Human Body Movement and Ground Reaction Dynamics
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Boston University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago