Ruixue Cheng

Teesside University

Papers

2

Total Citations

7

H-Index

2

About

Ruixue Cheng is a rising researcher in marine engineering, water conservancy, and tunnel construction robotics, with a focus on optimizing mechanical systems for complex environments. Her most-cited work, "Optimization Design of a Winch Suction Underwater Dredging Robot Using Orthogonal Experimental Design" (2024, 4 citations), addresses critical challenges in dredging efficiency by introducing a novel winch suction robot. Through orthogonal experimental design, Cheng systematically enhances dredging machine performance, directly supporting the sustainability of water ecosystems and storage systems—a vital contribution amid global water resource management demands. In her second notable paper, "Kinematics and spatial structure analysis of TBM gunite robot based on D–H parameter method" (2024, 3 citations), she advances tunnel construction automation by designing a shotcrete mechanism for Tunnel Boring Machines (TBMs). Using the Denavit–Hartenberg parameter method, Cheng evaluates kinematic performance, paving the way for more efficient tunnel wall reinforcement. Though early in her career, her work bridges practical engineering needs with rigorous optimization, earning citations that signal growing recognition. Cheng’s research holds promise for transforming underwater dredging and automated tunneling, making her a name to watch in applied robotics and infrastructure innovation.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimization Design of a Winch Suction Underwater Dredging Robot Using Orthogonal Experimental Design
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Teesside University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago