Sheng Hong
Papers
1
Total Citations
8
H-Index
1
About
Sheng Hong is a researcher whose work centers on unmanned aerial vehicle (UAV) mission planning, particularly in the challenging domain of penetration route design. His key research areas include artificial potential field methods, radar network modeling, and autonomous navigation for aerial systems. Hong’s major contribution lies in developing a novel environment model for penetration missions that more accurately captures the detecting characteristics of radar and radar networks—a critical improvement over existing methods that often oversimplify these threats. By integrating the artificial potential field approach, his work enhances the probability of successful UAV penetration, offering a more realistic and effective planning framework. His most-cited paper, "The new environment model building method of penetration mission based on the artificial potential field approach" (2012), has garnered 8 citations, reflecting its niche but valuable impact on UAV path planning research. While his citation count is modest, Hong’s work addresses a specific, high-stakes problem in military and aerospace applications, providing a foundation for safer and more reliable autonomous flight in contested environments.
Research Focus
Key Achievements
Top Papers
- 1