Xing Ruonan
Papers
1
Total Citations
17
H-Index
1
About
Xing Ruonan is a researcher focused on industrial safety and risk monitoring, with a particular emphasis on probabilistic localization methods for hazard detection. Her most-cited work, "A Grid Cumulative Probability Localization-Based Industrial Risk Monitoring System" (2018, 17 citations), addresses the growing frequency of industrial failures by proposing a novel framework that enhances the accuracy of risk factor identification. This system leverages grid-based cumulative probability techniques to improve real-time monitoring, offering a more reliable approach to preempting operational hazards in complex industrial environments. Xing’s contributions are especially relevant as industries increasingly adopt data-driven safety measures to mitigate risks. Her work has been cited in subsequent studies on industrial risk assessment and smart monitoring systems, underscoring its practical impact. By integrating probabilistic modeling with industrial safety protocols, Xing helps bridge the gap between theoretical risk analysis and actionable monitoring solutions. Her research continues to inform safer industrial practices, making her a notable voice in the field of industrial engineering and safety management.
Research Focus
Key Achievements
Top Papers
- 1