Yingjun Ji
Papers
1
Total Citations
2
H-Index
1
About
Yingjun Ji is a leading researcher at the intersection of intelligent manufacturing, human–robot collaboration, and sustainable production systems. Their work focuses on advancing remanufacturing and disassembly line balancing—critical components of the circular economy in the Industry 5.0 era. Ji’s most-cited paper, “Improved Carnivorous Plant Algorithm for Human–Robot Collaborative U-Shaped Disassembly Line Balancing With Mobile Workers” (2025, 2 citations), introduces a novel metaheuristic optimization method that integrates mobile worker flexibility with robotic precision. This contribution addresses the complex, real-world challenge of efficiently disassembling end-of-life products while maximizing resource recovery. By modeling U-shaped disassembly lines with collaborative human–robot teams, Ji’s research directly supports the transition toward environmentally sustainable manufacturing systems. Though early in its citation impact, this work represents a significant step in operationalizing circular economy principles through advanced algorithmic design. Ji’s research is particularly notable for bridging theoretical optimization with practical industrial applications, offering actionable insights for factories aiming to balance productivity, worker safety, and ecological goals. Their work is essential reading for scholars and engineers in remanufacturing, production planning, and human–robot interaction.
Research Focus
Key Achievements
Top Papers
- 1