Jinchen Ji

University of Technology Sydney

Papers

20

Total Citations

527

H-Index

11

About

Jinchen Ji is a prolific researcher whose work spans intelligent manufacturing systems, multi-robot coordination, and advanced control theory. His research has made significant contributions to two interconnected domains: machine health monitoring and autonomous robotic systems. In the realm of intelligent manufacturing, Ji's most-cited work introduces a vibration-based prognostic framework for gear health management, accumulating 136 citations since 2023 and demonstrating his ability to bridge signal processing with practical industrial applications. His more recent work on multi-robot task allocation in smart farm environments (72 citations) further highlights his commitment to real-world automation challenges. Ji has also established a strong reputation in multi-robot systems control, developing innovative approaches for formation control, consensus tracking, and swarm coordination. His neural network-based formation control work (60 citations) and multi-objective region reaching frameworks underscore his expertise in navigating complex, obstacle-rich environments. Notably, his sustained exploration of the Udwadia-Kalaba approach offers elegant analytical solutions to distributed consensus problems, including scenarios involving communication delays and switching network topologies. With over 460 cumulative citations across his top publications, Ji represents a dynamic voice in robotics and smart manufacturing research, consistently producing work that resonates with both theoretical and applied communities.

Research Focus

Key Achievements

11
H-Index
20
Papers
527
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system
136 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: University of Technology Sydney

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago