Jianyong Chen

Tianjin University of Science and Technology

Papers

Total Citations

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About

Jianyong Chen is a researcher focused on advancing precision manufacturing and quality control in the semiconductor industry. His work centers on developing automated, robot-based inspection systems to address critical challenges in wafer surface defect detection—a key bottleneck in chip production. In his notable 2020 study, "A compact Robot-based defect detection device design for silicon wafer," Chen proposed an innovative device that enhances both accuracy and efficiency over traditional manual methods, which are often limited by operator fatigue and inconsistency. While this paper has garnered 4 citations, reflecting its emerging impact, Chen’s contributions are significant for their practical engineering approach to integrating robotics with optical inspection. His research directly supports the industry’s push toward higher chip quality standards, offering a scalable solution that reduces human error and boosts throughput. By tackling the hard challenge of detecting microscopic defects on silicon wafers, Chen helps pave the way for more reliable semiconductor manufacturing—a field where even minor flaws can compromise entire batches. His work is particularly valuable for students and engineers interested in the intersection of robotics, automation, and industrial quality assurance.