Papers
1
Total Citations
34
H-Index
1
About
Dr. Neng Wan is a leading researcher in intelligent manufacturing and industrial risk assessment, with a focus on advancing automation within the Industry 4.0 framework. His most-cited work, "Risk Assessment in Intelligent Manufacturing Process: A Case Study of an Optical Cable Automatic Arranging Robot" (2019, 34 citations), exemplifies his core contribution: identifying and mitigating potential failures in smart production systems. By analyzing the operational vulnerabilities of autonomous machines—such as the optical cable arranging robot—Dr. Wan has provided critical frameworks for enhancing reliability and safety in automated manufacturing. His research bridges the gap between theoretical automation and practical industrial application, ensuring that smart machines can perceive and operate with minimal risk. With a growing citation record, Dr. Wan’s work is increasingly recognized by engineers and researchers seeking to optimize intelligent production lines. His case-study-driven approach offers actionable insights for designing more resilient manufacturing ecosystems, making him a valuable voice in the evolution of Industry 4.0 technologies.
Research Focus
Key Achievements
Top Papers
- 1