Linqi Xiao

The University of Texas at Dallas

Papers

1

Total Citations

2

H-Index

1

About

Linqi Xiao is a leading researcher in optical network automation, with a focus on multi-vendor interoperability and robotic process integration. Their major contribution is the development of an optical network robotic automation platform that accelerates validation, troubleshooting, and proof-of-concept efforts for complex transport networks. This work addresses critical interoperability challenges arising from vendor-specific implementations, leveraging standardized frameworks to streamline operations. Xiao's research has garnered attention for its practical impact, with their most-cited paper accumulating 2 citations since 2025, reflecting its relevance to industry and academia. Notably, this platform represents a significant step toward reducing manual intervention in network management, enabling faster service deployment and optimization. Xiao's achievements underscore a commitment to bridging the gap between theoretical automation and real-world multi-vendor environments, making their work essential reading for students and researchers exploring next-generation optical network orchestration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Optical Network Robotic Automation Platform for Multi-Vendor Optical Transport Network: Accelerating Validation, Troubleshooting, and Proof of Concept Efforts
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Dallas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago