Yanli Zeng

Papers

Total Citations

220

H-Index

About

Yanli Zeng is a leading researcher in pipeline integrity and nondestructive evaluation, with a primary focus on in-line inspection (ILI) technologies for energy infrastructure. Her work addresses critical challenges in the safe transportation of natural gas and petroleum products, particularly through the development of advanced magnetic flux leakage (MFL) sensing methods. Zeng’s most cited paper, “Pipeline In-Line Inspection Method, Instrumentation and Data Management” (2021), has garnered 217 citations, establishing a comprehensive framework for ILI system design, sensor instrumentation, and data analytics. This work is widely referenced for its systematic treatment of pipeline damage mechanisms—from electrochemical corrosion to welding defects—and its practical guidance for field deployment. Her more recent contribution (2025) introduces a block compressed sensing approach to recover partial sensor failures in MFL sensors used by pipeline inspection robots, demonstrating her ongoing innovation in robust sensing under real-world constraints. Zeng’s research directly impacts the reliability of global energy transport networks, and her high citation count reflects the field’s reliance on her foundational methodologies. For students and researchers, her work exemplifies how sensor physics, signal processing, and practical engineering converge to solve infrastructure safety problems.