Mingqiang Li

Sun Yat-sen University

Papers

2

Total Citations

26

H-Index

2

About

Mingqiang Li is a pioneering researcher at the intersection of nanotechnology, biomedical engineering, and intelligent sensing. His work spans two transformative domains: advanced CRISPR-based nanotheranostics for tackling viral hepatitis and hepatocellular carcinoma, and next-generation triboelectric acoustic sensors for human-machine collaboration. In his highly cited 2025 study, Li developed a deep learning-enhanced anti-noise triboelectric acoustic sensor that achieves robust voice recognition in noisy environments—a breakthrough with profound implications for health monitoring, post-disaster rescue, and intelligent control systems. This work has already garnered 24 citations, reflecting its immediate impact. Earlier, Li contributed to a landmark review in *Advanced Science* (2021) on CRISPR nanotheranostics, envisioning nanoscale CRISPR/Cas systems as "smart enzymatic robots" for precision therapy against liver diseases. His interdisciplinary approach—merging nanomaterials, gene editing, and artificial intelligence—positions him as a leading voice in creating intelligent, theranostic platforms. With a growing citation record and cutting-edge innovations, Li’s research is shaping the future of smart biomedical devices and human-machine interfaces.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments
24 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago