Dong Ming
Papers
3
Total Citations
16
H-Index
3
About
Dong Ming is a pioneering researcher at the forefront of motor augmentation and brain-computer interfaces (BCIs), with a particular focus on supernumerary robotic limbs (SRLs) and advanced neural decoding. His major contributions lie in demonstrating that motor imagery (MI) of a sixth finger—a supernumerary limb—produces distinct and enhanced event-related desynchronization (ERD) patterns compared to traditional inherent limb MI, significantly improving classification performance in BCI systems. This breakthrough, detailed in his 2024 work (8 citations), opens new pathways for intuitive, brain-controlled robotic augmentation. Ming has further shown that BCI-guided supernumerary robotic finger training induces enhanced brain functional interaction and neuroplasticity, as evidenced in his 2025 study (4 citations). Additionally, he has advanced practical BCI usability by developing a high-frequency SSVEP-BCI with a row-column dual-frequency encoding strategy, reducing training data requirements while maintaining high accuracy and information transfer rates (2024, 4 citations). His work bridges fundamental neuroscience and applied neuroengineering, offering transformative potential for motor rehabilitation and human augmentation. With a growing citation impact, Ming is establishing himself as a leading voice in the next generation of brain-machine interfaces.
Research Focus
Key Achievements
Top Papers
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