Papers
3
Total Citations
57
H-Index
3
About
Wenqing Xiong is a researcher at the forefront of semiconductor manufacturing optimization and computational intelligence. Her primary research areas include cluster tool scheduling, wafer fabrication process control, and metaheuristic optimization algorithms. Xiong’s major contributions lie in reducing wafer delay time—a critical factor for maintaining quality in sub-10nm semiconductor fabrication. Through detailed analysis of robot idle time and waiting time regulation in single-arm cluster tools, she has developed practical models that minimize wafer exposure to harmful delays, directly improving yield in advanced manufacturing. Her 2020 paper on reducing wafer delay time via robot idle time regulation has garnered 48 citations, reflecting its significance in the field. More recently, Xiong has expanded into global optimization, proposing an improved Slime Mould Algorithm that combines multiple strategies for enhanced performance. This work, published in 2024, demonstrates her versatility in applying biological inspiration to complex engineering problems. With a growing citation impact and a focus on bridging theoretical modeling with real-world manufacturing challenges, Xiong’s research offers valuable insights for students and engineers working to push the boundaries of semiconductor process efficiency and intelligent optimization.
Research Focus
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