Fengming Wu
Papers
1
Total Citations
5
H-Index
1
About
Fengming Wu is a rising researcher in entomology and computational behavioral analysis, whose work bridges high-speed videography, micro-CT imaging, and 3D modeling to decode insect behavior. His most cited paper, "Integrative techniques for insect behavior analysis using micro‐CT and Blender" (2024, 5 citations), introduces a novel workflow that combines micro-CT scans with Blender software to simulate and visualize complex insect actions, using fruit fly aggression as a proof-of-concept. This approach allows researchers to reconstruct and analyze subtle behavioral sequences in three dimensions, offering unprecedented insight into the biomechanics and neural underpinnings of insect interactions. Though early in his career, Wu’s work has already gained attention for its methodological innovation, providing a replicable framework that can be adapted to study a wide range of insect species and behaviors. His contributions are particularly valuable for fields like neuroethology, pest management, and evolutionary biology, where understanding movement and social behavior is critical. With a focus on open-source tools and reproducible science, Wu is establishing himself as a key figure in the next generation of integrative, technology-driven entomological research.
Research Focus
Key Achievements
Top Papers
- 1