I am Ye Sun, a researcher working at the intersection of the science of science, complex networks, complex systems, and data-driven social computing. My research focuses on understanding how scientific careers and knowledge systems evolve over time, with particular attention to inequality and mobility in academic success. Using large-scale bibliometric and affiliation data (e.g., publication, citation, collaboration, and funding signals), I study how researchers move across impact and productivity rankings over the life course, how these dynamics differ by gender, discipline, and country, and what structural factors shape opportunities for early-career scholars. Methodologically, I combine network science (collaboration networks, knowledge flows, centrality/structural holes), time-series and cohort analysis, and causal inference designs to identify mechanisms behind observed patterns. A core line of my work develops multidimensional indicators of academic influence that integrate scholarly output, recognition, and broader impact, enabling more nuanced comparisons across fields and career stages. I am also interested in translating these findings into policy-relevant insights on research workforce sustainability, evaluation practices, and interventions that reduce cumulative disadvantage—especially those related to career interruptions and unequal access to collaborative resources.