Yifan Gan
Papers
1
Total Citations
4
H-Index
1
About
Yifan Gan is a researcher at the forefront of intelligent firefighting technology, specializing in gas–solid two-phase flow dynamics, dry powder fire-extinguishing systems, and robotic inspection platforms. His most cited work, published in 2024, pioneers the integration of dry powder (including ultra-fine dry powder) as a fire-extinguishing medium into inspection robots—a novel solution to the limitation of traditional robots that only monitor without active suppression. By combining numerical simulation with experimental validation, Gan addresses critical challenges in spray pressure control and particle dispersion, enhancing the efficiency and reliability of autonomous firefighting systems. With 4 citations to date, this foundational study has already sparked interest in the field, laying the groundwork for safer, more responsive industrial safety infrastructure. Gan’s contributions are notable for bridging computational modeling and practical robotics, offering a scalable approach to real-time fire suppression. His work is essential reading for researchers in fire safety engineering, robotics, and multiphase flow, demonstrating how interdisciplinary innovation can transform emergency response technologies.
Research Focus
Key Achievements
Top Papers
- 1