Zuoting Ning

Hunan Police Academy

Papers

1

Total Citations

49

H-Index

1

About

Zuoting Ning is a prominent researcher in the fields of cybersecurity, the Internet of Things (IoT), and autonomous multi-robot systems. Their most-cited work, "Secure fusion approach for the Internet of Things in smart autonomous multi-robot systems" (2021), has garnered 49 citations, highlighting its significant impact on secure data integration and communication within complex, decentralized robotic networks. Ning’s contributions are pivotal in addressing critical vulnerabilities in IoT-enabled autonomous systems, proposing innovative fusion techniques that enhance both security and operational efficiency. This research is particularly influential for advancing smart infrastructure, where reliable and safe multi-robot coordination is essential. Beyond this landmark paper, Ning’s broader work continues to shape the intersection of cybersecurity and robotics, offering practical solutions for real-world applications. Their achievements underscore a commitment to bridging theoretical security frameworks with tangible, autonomous system implementations, making them a key figure for students and researchers exploring secure, scalable IoT ecosystems.

Research Focus

Key Achievements

1
H-Index
1
Papers
49
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Secure fusion approach for the Internet of Things in smart autonomous multi-robot systems
49 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hunan Police Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago