Yun-Liang Zhang
Papers
2
Total Citations
12
H-Index
2
About
Yun-Liang Zhang is a leading researcher in perioperative neuroprotection and cerebral physiology, with a primary focus on safeguarding brain function in elderly surgical patients. His work centers on the clinical application of continuous cerebral autoregulation (CA) monitoring, a critical tool for preventing perioperative cerebral complications in patients aged 65 and over who often present with underlying conditions. Zhang’s most-cited paper (2021, 10 citations) established the value of real-time CA monitoring for cerebral protection, demonstrating its potential to reduce adverse outcomes during surgery. He has also pioneered the use of nonlinear complexity analysis—specifically approximate entropy (ApEn) and sample entropy (SampEn)—to assess cerebral oxygen saturation dynamics under challenging surgical conditions like pneumoperitoneum and the Trendelenburg position (2022, 2 citations). By applying these advanced analytical methods, Zhang has revealed deeper insights into brain dynamics that traditional linear measures cannot capture. His work bridges clinical anesthesiology and complex systems science, offering novel approaches to monitor and protect the aging brain during high-risk procedures. Zhang’s contributions are particularly impactful for anesthesiologists and researchers seeking to improve perioperative outcomes in an increasingly elderly surgical population.
Research Focus
Key Achievements
Top Papers
- 1
- 2