Jing-Jing Yan

Northeastern University

Papers

1

Total Citations

11

H-Index

1

About

Jing-Jing Yan is a leading researcher in the field of industrial cyber-physical systems (ICPSs), with a primary focus on secure estimation, nonlinear control, and resilience against cyberattacks. Her most cited work, "A Multigain-Switching-Mechanism-Based Secure Estimation Scheme Against DoS Attacks for Nonlinear Industrial Cyber-Physical Systems" (2022, 11 citations), addresses a critical vulnerability in modern industrial networks: denial-of-service (DoS) attacks. In this seminal paper, Yan introduces an innovative multigain-switching mechanism that enables nonlinear ICPSs to maintain accurate state estimation even when communication channels are actively disrupted. This contribution is particularly significant as it bridges the gap between theoretical security frameworks and practical industrial applications, where real-time reliability is paramount. Her work has garnered attention for its practical relevance in safeguarding smart manufacturing, energy grids, and automated infrastructure. Yan’s research not only advances the theoretical understanding of attack-resilient control but also provides actionable solutions for engineers designing next-generation secure industrial systems. Her achievements underscore a commitment to ensuring the safety and stability of increasingly interconnected industrial environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Multigain-Switching-Mechanism-Based Secure Estimation Scheme Against DoS Attacks for Nonlinear Industrial Cyber-Physical Systems
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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