Xiamen, China

Yanbin Chen

This inventor holds 1 USPTO granted patent. Top assignee: Genius Electronic Optical (Xiamen) Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yanbin Chen. Retrieved from https://idiyas.com/inventor/yanbin-chen-e8nwfbay

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yanbin Chen - Innovator in Optical Imaging Technology

Introduction

Yanbin Chen is a prominent inventor based in Xiamen, China. He has made significant contributions to the field of optical imaging technology. His innovative work has led to the development of advanced optical imaging lenses that enhance image quality and performance.

Latest Patents

Yanbin Chen holds a patent for an optical imaging lens. This lens design includes a series of nine lens elements arranged in a specific order from the object side to the image side. The unique design of concave and convex surfaces in these lens elements allows for increased resolution, enlarged aperture stop, and improved image height while maintaining excellent image quality. He has 1 patent to his name.

Career Highlights

Yanbin Chen is associated with Genius Electronic Optical (Xiamen) Co., Ltd., where he applies his expertise in optical technology. His work has been instrumental in advancing the capabilities of optical imaging systems.

Collaborations

He collaborates with talented coworkers, including Jia-sin Jhang and Jianpeng Li, who contribute to the innovative projects at Genius Electronic Optical.

Conclusion

Yanbin Chen's contributions to optical imaging technology exemplify the spirit of innovation. His work continues to influence the field and improve imaging solutions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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