Zhaoqi He

Lanzhou University of Technology

Papers

1

Total Citations

9

H-Index

1

About

Zhaoqi He is a researcher in combinatorial optimization and operations research, with a primary focus on the traveling salesman problem (TSP) and its solution methodologies. His most notable contribution is a comprehensive review of TSP solution methods, published in 2024, which has already garnered 9 citations—a strong indicator of its timely impact in the field. This work synthesizes classical and modern approaches, from exact algorithms to heuristic and metaheuristic techniques, providing a valuable resource for both newcomers and seasoned researchers. By systematically analyzing the strengths and limitations of various methods, He’s review helps guide future algorithmic developments and practical applications in logistics, network design, and artificial intelligence. His research underscores the enduring relevance of TSP as a benchmark problem in computational science. As an emerging scholar, Zhaoqi He’s work is poised to influence ongoing efforts to solve large-scale optimization challenges efficiently.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Review of Traveling Salesman Problem Solution Methods
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Lanzhou University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago