San Jose, CA, United States of America

Chen-Wei Lu

This inventor holds 35 USPTO granted patents and 4 published patent applications, primarily in Image Sensors. Top assignees: Omnivision Technologies, Inc., Other. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chen-Wei Lu. Retrieved from https://idiyas.com/inventor/chen-wei-lu

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

Calculating rank
USPTO Granted Patents = 35 

% Patents Active = 97.1

Average Co-Inventor Count = 4.6

ph-index = 6

Forward Citations = 101(Granted Patents)


Location History:

  • Zhubei, TW (2016)
  • San Jose, CA (US) (2016 - 2022)

Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
High Dynamic Range
Infrared Sensing
Color Filter
Pixel Array
Phase Detection
Quantum Efficiency
Spectral Crosstalk
Optical Filter
Light Control
Edge Reflection
CMOS Technology
Multi-Wafer Fabrication
35 patents (USPTO):Explore Patents

Title: The Innovative Journey of Chen-Wei Lu

Introduction: Chen-Wei Lu, a talented inventor based in San Jose, CA, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Chen-Wei Lu holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and engineering, Chen-Wei Lu has worked for leading tech companies, where he has spearheaded projects that have revolutionized the industry.

Collaborations: Throughout his career, Chen-Wei Lu has collaborated with top researchers and engineers, fostering a culture of innovation and pushing the boundaries of what is possible in the tech world.

Conclusion: Chen-Wei Lu's passion for innovation and his dedication to pushing the limits of technology make him a standout figure in the world of inventors. His work continues to inspire and shape the future of the tech industry.

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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