Lu Peng

Southwest Jiaotong University

Papers

1

Total Citations

7

H-Index

1

About

Dr. Lu Peng is a leading researcher in medical robotics and healthcare optimization, with a particular focus on the deployment and resource management of advanced vascular robotic systems. Their most cited work, "Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy" (2025, 7 citations), introduces a novel hybrid optimization framework that combines genetic algorithms with greedy and simulated annealing techniques to streamline the acquisition, utilization, and maintenance of ABLVR vascular robots. This contribution addresses critical challenges in healthcare logistics, ensuring that complex robotic systems are allocated efficiently to meet patient needs while minimizing operational costs. Dr. Peng’s research bridges the gap between artificial intelligence and clinical practice, offering scalable solutions for hospitals adopting robotic-assisted vascular treatments. Their work has garnered attention for its practical impact on resource allocation in high-stakes medical environments, laying the groundwork for smarter, more responsive healthcare systems. By integrating computational intelligence with real-world medical constraints, Dr. Peng continues to shape the future of robotic surgery and operational efficiency in healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Southwest Jiaotong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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