Bing Ma

Harbin Engineering University

Papers

1

Total Citations

16

H-Index

1

About

Bing Ma is a researcher specializing in unmanned aerial vehicle (UAV) systems, with a particular focus on multi-copter drone swarms and simulation-based development environments. His work sits at the intersection of robotics, autonomous systems, and aerospace engineering, addressing the practical challenges that developers face when building and testing UAV applications in real-world conditions. Ma's most notable contribution is his comprehensive survey on open-source simulation platforms for multi-copter UAV swarms, published in 2023, which has already garnered 16 citations — a strong early indicator of impact for a recently published work. This survey addresses a critical gap in the field: because UAVs are expensive, require specialized operators, and demand controlled testing environments, simulation tools have become essential infrastructure for the research community. By systematically evaluating and comparing available open-source platforms, Ma has provided developers and researchers with an invaluable reference for selecting appropriate tools for their projects. His work reflects a broader commitment to lowering barriers to UAV research and accelerating innovation in autonomous aerial systems. For students and researchers entering the drone swarm domain, Ma's contributions offer both a practical roadmap and a scholarly foundation for understanding the simulation ecosystem that underpins modern UAV development.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A Survey on Open-Source Simulation Platforms for Multi-Copter UAV Swarms
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Harbin Engineering University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago