Yanfei Lin
Papers
2
Total Citations
15
H-Index
2
About
Yanfei Lin is a rising researcher in the field of brain-computer interfaces (BCI), with a focus on enhancing robotic control systems through multimodal and deep learning approaches. Her work primarily targets the integration of eye-tracking and steady-state visual evoked potentials (SSVEP) in virtual reality environments, as demonstrated in her most-cited 2023 paper (13 citations), which developed an asynchronous robotic arm control system to overcome limitations in flexibility and user fatigue. Lin also contributes to advancing cross-subject BCI systems, notably through her 2022 study on a multi-scale EEGNet for rapid serial visual presentation (RSVP)-based BCI, which addresses the challenge of training subject-agnostic models for event-related potential (ERP) classification. With a total of 15 citations across her key works, Lin’s research is impactful in pushing BCI technology toward more practical, autonomous, and user-friendly applications. Her achievements highlight a commitment to solving real-world constraints in neural control systems, making her a notable figure in the intersection of virtual reality, robotics, and electroencephalography (EEG) signal processing.
Research Focus
Key Achievements
Top Papers
- 1
- 2A multi-scale EEGNet for cross-subject RSVP-based BCI system2 citations · 2022