Papers

3

Total Citations

23

H-Index

3

About

Xiaofang Zhang is a versatile researcher whose work spans autonomous underwater systems, advanced materials science, and flexible electronics. In the field of marine robotics, Zhang made a notable contribution by developing a comprehensive autonomous underwater vehicle (AUV) simulation system integrating Mission Oriented Operating Suite (MOOS) with Unreal Engine 4, a practical innovation designed to enhance development efficiency while significantly reducing the costs and risks associated with real-world underwater operations — work that has already garnered 14 citations since its 2023 publication. Beyond robotics, Zhang has demonstrated expertise in nanomaterial engineering, developing a facile aqueous-medium approach to surface-modify cellulose nanofibers using syringaldehyde, yielding mechanically robust nanocomposite hydrogels with promising biomedical and structural applications. More recently, Zhang has pushed into the frontier of soft electronics, designing hierarchical self-healing liquid metal architectures driven by electrochemical synergy for ultrasensitive strain sensing — a contribution with clear implications for wearable technology and human-motion monitoring. With research spanning simulation engineering, green chemistry, and smart materials, Zhang represents a uniquely interdisciplinary scientific voice whose emerging body of work continues to attract growing attention across multiple communities.

Research Focus

Key Achievements

3
H-Index
3
Papers
23
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of Autonomous Underwater Vehicle Simulation System Based on MOOS and Unreal Engine
14 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Wuhan Textile University, University of Science and Technology Beijing

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago