School of Information Science and Technology | Shijiazhuang Tiedao University | China
Dr. Yongbin Zhao is a researcher at Shijiazhuang Tiedao University, China, recognized for his growing contributions to computational science, network analysis, and data-driven systems research. With a Scopus-indexed publication record comprising 27 scholarly documents and 67 citations across 66 citing sources, he has established an emerging academic profile characterized by interdisciplinary inquiry and collaborative engagement. His current h-index of 5 reflects the consistent impact and relevance of his research in both theoretical and applied domains.Dr. Zhao’s work spans multiple high-value fields including blockchain security complex network modeling and agricultural trade analytics. His recent publication on multi-key fully homomorphic encryption algorithms introduces secure computation frameworks tailored for blockchain environments contributing to the advancement of privacy-preserving technologies in decentralized systems. Another notable study focusing on the evolution and robustness of the global soybean trade network demonstrates his ability to integrate physics-based modeling with international agricultural economics offering meaningful insights for global trade stability and food-system resilience.He has collaborated with more than 40 co-authors reflecting a strong international and interdisciplinary research network. His contributions extend beyond academic outputs providing analytical tools and conceptual frameworks that support secure data infrastructures enhance trade-network understanding and contribute to more resilient socio-economic systems.Through his sustained research activity and collaborative leadership Dr. Yongbin Zhao continues to contribute to scientific knowledge with societal and technological relevance strengthening the interface between computational innovation and global system analysis.
Profiles : Scopus | Research Gate
Featured Publications
1.Author(s). (2025). Research on multi-key fully homomorphic encryption algorithms suitable for blockchain. Cluster Computing.
2.Author(s). (2024). The evolution and robustness analysis of global soybean trade network. International Journal of Modern Physics C. Cited By : 2
Dr. Zhao’s contributions in homomorphic encryption and network robustness drive innovation in blockchain security and international supply-chain analytics. His research supports industry in building safer digital platforms and more efficient global trade systems.