Papers
3
Total Citations
33
H-Index
2
About
Xu Zhan is a researcher at the intersection of evolutionary biology, biomechanics, and engineering, with a primary focus on 3D visualization and computational modeling of organismal form. Their most influential work, the 2022 paper "3D visualization processes for recreating and studying organismal form" (29 citations), provides a comprehensive review of emerging methods for creating accurate 3D models of living organisms and animating them for biomechanical and fluid dynamic analyses. This contribution has become a key reference for scientists studying biological form in evolutionary biology and functional morphology. Zhan has also explored comparative studies in robot navigation (2019), bridging biological principles with robotics, and has ventured into high-quality short-range radar imaging (2024), addressing challenges in autonomous vehicle sensing and industrial robotic perception through innovative coprime sampling techniques. This diverse portfolio—spanning from biological visualization to engineering applications—demonstrates a unique ability to integrate computational methods across disciplines. Zhan’s work continues to shape how researchers recreate and analyze organismal form, with growing impact in both biological and robotic fields.
Research Focus
Key Achievements
Top Papers
- 13D visualization processes for recreating and studying organismal form29 citations · 2022
- 2Comparative Studies of Robot Navigation3 citations · 2019
- 3High-Quality Short-Range Radar Imaging with Coprime Sampling1 citations · 2024