Jing Dong Yan

Wuhan University of Technology

Papers

1

Total Citations

34

H-Index

1

About

Dr. Jing Dong Yan is a leading voice in intelligent logistics and automation, with a career dedicated to advancing the operational backbone of modern supply chains. His most-cited work, “Automated Guided Vehicle: the Direction of Intelligent Logistics” (2018, 34 citations), establishes AGVs as the benchmark for smart material handling, tracing their evolution and current applications. Dr. Yan’s research focuses on the integration of autonomous systems into logistics networks, emphasizing how AGVs drive efficiency, reduce human error, and enable scalable, flexible warehousing. By analyzing both historical development and emerging trends, he provides a foundational roadmap for researchers and industry practitioners alike. His contributions have shaped discourse on the strategic importance of intelligent logistics, influencing how companies adopt automation for competitive advantage. With a citation record that reflects growing interest in this field, Dr. Yan’s work continues to guide students and engineers seeking to understand the technological and operational shifts defining the future of logistics.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Automated Guided Vehicle: the Direction of Intelligent Logistics
34 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago