Xinjing Huang

Johns Hopkins University

Papers

2

Total Citations

19

H-Index

2

About

Xinjing Huang is a researcher specializing in robotics, magnetic sensing, and subsea engineering. Their work focuses on developing practical solutions for autonomous systems operating in challenging environments, with key contributions to both mobile robotics and underwater inspection technologies. Huang’s most cited paper, “A localization method for subsea pipeline based on active magnetization” (2022, 13 citations), addresses a critical challenge in offshore infrastructure maintenance: accurately locating ferromagnetic pipelines for underwater robot tracking and inspection. This work enhances the reliability of magnetic anomaly detection, improving signal-to-noise ratios for both exposed and buried pipelines. Huang also contributed to the field of field robotics with “Study on ability of a mobile tracked robot for stair-climbing based on static analysis” (2015, 6 citations), which provides a rigorous static analysis framework for evaluating the climbing capabilities of tracked robots—a foundational step for robots operating in urban or industrial environments. By bridging theoretical modeling and real-world application, Huang’s research supports safer, more efficient autonomous operations in subsea and terrestrial settings, offering valuable insights for engineers developing next-generation inspection and rescue robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A localization method for subsea pipeline based on active magnetization
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago