Papers
3
Total Citations
32
H-Index
2
About
Hongyan Cui is a leading researcher at the intersection of neural engineering and rehabilitation robotics, with a primary focus on developing hybrid brain-computer interface (BCI) systems for motor recovery. Her work centers on integrating multiple neural signals—such as motor imagery (MI) and steady-state visual evoked potentials (SSVEP)—to create more intuitive and effective control paradigms for assistive devices. Cui’s most influential contribution is the design of a hybrid BCI-controlled soft robotic glove for stroke rehabilitation (2024, 24 citations), which addresses a critical limitation of conventional systems by replacing static visual cues with dynamic, peripheral-field stimulation to enhance BCI performance. She has also pioneered the fusion of augmented reality (AR) with BCI and SLAM-based navigation for humanoid robot control (2024, 6 citations), expanding the application of neural interfaces beyond clinical settings. Her latest work (2025, 2 citations) further refines hybrid BCI architectures for upper limb rehabilitation. With a growing citation impact and a clear trajectory toward translating brain signals into real-world motor assistance, Cui is establishing herself as a key innovator in non-invasive neural control systems for neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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