Ying Wang

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Ying Wang is a researcher working at the intersection of neural engineering, machine learning, and biomedical systems. Her most notable contribution lies in the domain of brain-computer interfaces (BCIs), particularly motor imagery (MI) BCI systems, where she has advanced the state of the art in signal classification. Her 2023 work on adaptive spatial filters optimized through particle swarm optimization algorithms represents a meaningful step forward in improving the accuracy and reliability of self-paced BCI systems — technologies with profound implications for stroke rehabilitation, robotic control, and assistive devices for patients with spinal cord injuries. This paper has already garnered 12 citations, reflecting strong early interest from the BCI research community. Beyond neural engineering, Wang has also explored the application of automation and machine learning to enterprise data management, demonstrating a broader interest in intelligent systems. Her 2022 work on combining robotic process automation with machine learning for budget data acquisition highlights her versatility across both biomedical and computational domains. Collectively, Wang's research speaks to a commitment to applying intelligent algorithms to complex, real-world challenges — from restoring motor function in patients to streamlining organizational decision-making.