Mingjie Shi

Papers

Total Citations

H-Index

About

Mingjie Shi is a researcher whose work bridges intelligent technology and industrial safety, with a particular focus on the petroleum sector. His key research areas include safety culture construction, risk prevention in high-hazard environments, and the application of intelligent science to industrial safety management. Shi’s major contribution lies in demonstrating how emerging technologies—such as artificial intelligence and data-driven systems—can be leveraged to transform safety practices in industries characterized by extreme conditions like high temperature, high pressure, and flammability. His most-cited paper, “Intelligent Science and Technology Assists Safety Culture Construction” (2021), with 4 citations, provides a foundational framework for integrating intelligent tools into safety culture to reduce accident frequency in the petroleum industry. This work highlights his ability to address critical, real-world challenges where human and technological factors intersect. Shi’s research is particularly notable for its practical orientation, offering actionable strategies for organizations seeking to enhance safety protocols. His contributions are valuable for students and researchers interested in the intersection of industrial engineering, safety science, and intelligent systems, as they underscore the potential of technology to mitigate risks in some of the most dangerous work environments.