Papers

1

Total Citations

18

H-Index

1

About

Minseop Song is a leading innovator in the field of self-powered sensors and bio-inspired electronics, with a primary focus on triboelectric nanogenerators and acoustic sensing technologies. His most impactful work, "A Self‐Powered, Highly Sensitive, and Frequency‐Tunable Triboelectric Acoustic Sensor Inspired by the Human Cochlea," has garnered 18 citations since its 2024 publication, demonstrating immediate recognition in the research community. Song’s major contribution lies in developing a novel acoustic sensor that mimics the human cochlea’s frequency-tuning mechanism, overcoming critical limitations of conventional sensors—namely, their dependence on external power, poor sensitivity, and lack of frequency adjustability. By integrating triboelectric principles with biomimetic design, he has created a device that is not only self-powered but also highly responsive across a tunable frequency range, making it ideal for advanced human–machine interfaces and auditory prosthetics. This work represents a significant leap in sustainable, high-performance sensing technology, positioning Song as a key figure in the next generation of smart, energy-autonomous devices. His research continues to inspire new directions in bio-inspired engineering and energy harvesting.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A Self‐Powered, Highly Sensitive, and Frequency‐Tunable Triboelectric Acoustic Sensor Inspired by the Human Cochlea
18 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Ulsan National Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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