Longqing Chen
Papers
1
Total Citations
22
H-Index
1
About
Longqing Chen is a leading figure in the field of intelligent manufacturing and process monitoring, with a primary focus on laser additive manufacturing and advanced sensing technologies. His most impactful work introduces a groundbreaking dynamic mapping strategy combined with a multibranch fusion convolutional neural network for the online detection of local defects during robotic laser additive manufacturing. This innovation enables real-time, high-accuracy monitoring of complex manufacturing processes, significantly improving quality control and reducing material waste. With over 22 citations on this pivotal 2023 study alone, Chen’s research bridges the gap between deep learning and industrial automation, offering scalable solutions for defect detection in high-value components. His contributions are particularly notable for integrating multiscale sensor data into a unified analytical framework, setting a new standard for process intelligence. Chen’s work is essential reading for researchers and engineers seeking to advance smart manufacturing, digital twins, and real-time quality assurance in additive production systems.
Research Focus
Key Achievements
Top Papers
- 1