About

Jincun Liu is a leading researcher at the intersection of bio-inspired robotics, underwater multi-robot systems, and intelligent aquaculture technologies. His most influential work, "A Survey of Underwater Multi-Robot Systems" (2021, 137 citations), provides a comprehensive framework for cooperation in underwater robotic networks, establishing him as a key voice in this emerging field. Liu is renowned for pioneering the development of bioinspired robotic dolphins, creating novel platforms like the tendon-driven continuum robotic dolphin "ConRoDolI" and hybrid-drive robotic fish specifically designed for water quality monitoring in aquaculture environments. His 2017 paper on depth control using sliding-mode fuzzy control (94 citations) and his work on intelligent inspection robots for netcage monitoring (27 citations) demonstrate his commitment to solving real-world challenges in marine and aquaculture operations. Beyond underwater robotics, Liu has contributed to brain-computer interfaces with his dynamic decomposition graph convolutional neural network for SSVEP-based systems (2023, 25 citations). With over 600 total citations and a portfolio spanning from fundamental control theory to applied environmental monitoring, Liu’s work is essential reading for anyone interested in the future of autonomous underwater systems and sustainable aquaculture.

Research Focus

Key Achievements

13
H-Index
32
Papers
781
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
A Survey of Underwater Multi-Robot Systems
137 citations · 2021
📈 Most Prolific Year: 2021 (7 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: China Agricultural University, National Engineering Research Center for Information Technology in Agriculture, Chinese Academy of Sciences, Ministry of Agriculture and Rural Affairs, Ministry of Agriculture, Shandong Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago