Wen‐de Tian
Papers
3
Total Citations
13
H-Index
2
About
Wen-de Tian is a researcher whose work bridges public health surveillance and the physics of active matter. His most-cited study, on wastewater-based epidemiology (WBE), demonstrates a practical, high-impact application: using an automated robot to track SARS-CoV-2 transmission in the post-epidemic era. This work, which has garnered 9 citations, highlights the utility of WBE for early viral detection, even under strict containment policies, offering a valuable tool for pandemic monitoring. Beyond public health, Tian explores the fundamental dynamics of active matter—systems of self-propelling particles. He has investigated how the shape of active agents, such as “十” shaped particles, influences the dynamic behavior of oligomers, and how differences in particle inertia drive phase separation in mixed systems. These studies, each with 2 citations, contribute to understanding non-equilibrium phenomena like collective motion and super-diffusion, relevant to biological systems from bacteria to cellular components. By combining applied environmental surveillance with theoretical active-matter physics, Tian’s work offers insights into both real-world disease tracking and the universal principles governing self-organizing systems.
Research Focus
Key Achievements
Top Papers
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