Papers
2
Total Citations
5
H-Index
2
About
Shailendra Singh is a researcher focused on the intersection of sensor technology and automotive manufacturing, with a particular emphasis on optimizing quality control and production efficiency in paint and assembly shops. His work explores how advanced sensors can be deployed to monitor and improve processes in these critical stages of vehicle production, addressing challenges such as defect detection, environmental control, and automation. Singh’s most-cited papers, including "Sensors Used in Automotive Paint Shops" (2018) and "Sensors in Assembly Shop in Automobile Manufacturing" (2018), have each garnered a modest but targeted impact, accumulating a combined total of 5 citations. While his citation count reflects a niche but specialized audience, his contributions are notable for their practical focus on real-world industrial applications, offering insights that bridge the gap between sensor technology and manufacturing engineering. Singh’s work serves as a valuable resource for engineers and researchers seeking to enhance automotive production lines through sensor integration, demonstrating a commitment to applied research that directly supports industry advancements.
Research Focus
Key Achievements
Top Papers
- 1Sensors Used in Automotive Paint Shops3 citations · 2018
- 2Sensors in Assembly Shop in Automobile Manufacturing2 citations · 2018