Ting Xie

Dalian University of Technology

Papers

2

Total Citations

8

H-Index

2

About

Ting Xie is a researcher specializing in thermal management and energy efficiency in data center environments, with a particular focus on leveraging thermal imaging technologies to monitor and optimize infrastructure performance. Xie's most notable contributions center on the development and application of thermal image registration techniques to accurately capture and analyze heat distribution within server systems and containerized data centers — a critical challenge given the enormous energy demands these facilities place on modern computing infrastructure. Xie's 2017 work on thermal feature extraction of datacenter servers demonstrates a sophisticated approach to identifying thermal patterns across server hardware, enabling more precise diagnostics and proactive cooling management. Building on earlier foundational research published in 2016, which introduced a modified framework for thermal distribution monitoring in container data centers, Xie has contributed meaningful methodologies to help facilities operators maintain reliable and stable operations while addressing energy consumption concerns. These papers have garnered citations within the data center thermal management community, reflecting their relevance to an increasingly urgent field as global data center energy usage continues to grow. Xie's research sits at the intersection of computer engineering, thermal science, and sustainable infrastructure — areas of growing importance as organizations worldwide seek to reduce the environmental footprint of their digital operations.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Thermal feature extraction of servers in a datacenter using thermal image registration
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Dalian University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago