Jung-Wan Hong

Papers

Total Citations

H-Index

About

Jung-Wan Hong is a researcher whose work sits at the intersection of precision manufacturing, remote quality control, and industrial automation. His key contributions focus on enhancing the accuracy and reliability of vision-based calibration systems and sensor-driven assembly processes. In his 2014 paper on integrated remote control of process capability and vision calibration—cited 7 times—Hong addresses a critical challenge in modern manufacturing: ensuring that robotic systems maintain high precision even when operated across geographically dispersed facilities. This work is complemented by his 2010 study on sensor-based remote quality control in automotive component assembly, also garnering 7 citations. Here, Hong tackles the complexities of global production networks, where design, supply chains, and assembly are often separated by vast distances. His research offers practical solutions for real-time monitoring and adjustment, reducing defects and improving efficiency. Though his citation counts are modest, Hong’s focus on applied, industry-relevant problems—such as the information visualization of networked assembly robots (2015)—demonstrates a commitment to bridging the gap between theoretical control systems and real-world manufacturing challenges. His work is particularly valuable for engineers and researchers developing smart, globally distributed production systems.