Zhaojie Yan

Papers

Total Citations

H-Index

About

Zhaojie Yan is a researcher in computational social science and cybersecurity, with a primary focus on detecting and analyzing deceptive online behaviors. Their most-cited work, "Social robot detection based on user behavioral representation" (2024), introduces a novel framework for identifying automated accounts—or social bots—on social media platforms by modeling user behavioral patterns. This contribution is critical in an era where misinformation and coordinated inauthentic behavior threaten digital discourse. Yan’s approach leverages advanced representation learning to capture subtle, non-obvious signals in user activity, offering a more robust alternative to traditional feature-based detection methods. While their citation count is still growing—reflecting the recency of their work—the paper has already garnered attention for its practical implications in platform moderation and online trust. Yan’s research sits at the intersection of machine learning, network analysis, and social media governance, aiming to equip platforms and policymakers with tools to preserve authentic interaction. As the fight against digital deception intensifies, Yan’s work represents a timely and methodologically rigorous step forward, promising to influence both academic inquiry and real-world security measures.