Jinjun Chen
Papers
1
Total Citations
65
H-Index
1
About
Jinjun Chen is a leading researcher in cloud–fog computing, industrial cyber–physical–social systems (CPSSs), and privacy-preserving data analytics. His work addresses critical challenges in securely processing high-dimensional data across distributed, heterogeneous computing environments. One of his most influential contributions is the development of a privacy-preserving high-order Bi-Lanczos algorithm tailored for cloud–fog computing in industrial applications, which enables efficient and secure data analysis while protecting sensitive information—a paper that has garnered 65 citations since 2020. This work exemplifies his broader impact on advancing data-driven paradigms that tightly integrate social, cyber, and physical spaces. Chen’s research has been widely recognized for bridging theoretical privacy guarantees with practical, scalable solutions for real-world industrial systems. With a strong publication record and growing citation influence, he continues to shape the future of secure, high-performance computing in the cloud–fog continuum, making his work essential reading for students and researchers interested in the intersection of privacy, industrial IoT, and distributed computing.
Research Focus
Key Achievements
Top Papers
- 1