Huangshui Ma

Sichuan University

Papers

2

Total Citations

36

H-Index

2

About

Huangshui Ma is a researcher whose work bridges the critical intersection of biomedical engineering and advanced materials science. In the biomedical domain, Ma pioneered the use of deep learning for surgical planning with the development of CLPNet, a neural network designed to support cleft lip and palate surgery. This work, which has garnered 23 citations, addresses one of the most common congenital malformations by automating the design of surgical markers and incisions—a task traditionally reliant on surgeon expertise. By applying artificial intelligence to facial plastic surgery, Ma’s contribution directly enhances surgical precision and outcomes for patients worldwide. Concurrently, Ma has made significant strides in thermoelectric materials. In a 2024 study with 13 citations, Ma demonstrated that alloying (Bi, Sb)₂Te₃ with AgInSe₂ yields exceptional thermoelectric and mechanical performance. This breakthrough is vital for developing efficient, durable energy-harvesting devices. By optimizing both electrical and thermal transport properties, Ma’s work pushes the boundaries of solid-state cooling and power generation. Together, these achievements highlight a versatile researcher whose innovations in AI-driven healthcare and advanced materials are shaping future technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning
23 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago