Hongji Li

Tianjin University of Technology

Papers

2

Total Citations

39

H-Index

2

About

Hongji Li is an emerging researcher specializing in neural engineering and brain-computer interface (BCI) technologies, with a particular focus on the development of innovative electroencephalography (EEG) electrode systems. His work bridges materials science and neurotechnology, pioneering the design of advanced electrode architectures that enhance signal acquisition for practical BCI applications. Li's most impactful contribution to date is his development of a dry EEG electrode optimized for steady-state visual evoked potential (SSVEP)-based brain-computer interfaces, published in 2021 and accumulating 31 citations — a strong indicator of its relevance to the BCI research community. This work addresses a critical challenge in the field: creating comfortable, gel-free electrodes capable of reliable neural signal capture. Building on this foundation, his 2023 study introduced a sophisticated few-layer graphene/TiO2 nanotube nanoarchitecture electrode, demonstrating its practical application in robotic arm control — a milestone achievement linking neural signals directly to assistive technologies. Through his research, Li is contributing to the next generation of wearable neurotechnology, with implications for assistive robotics, rehabilitation engineering, and human-machine interaction. His work represents a promising trajectory in translational BCI research.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A dry electroencephalogram electrode for applications in steady-state visual evoked potential-based brain–computer interface systems
31 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tianjin University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago