Taoyuan, Taiwan

Jen-Yu Lee

This inventor holds 3 USPTO granted patents. Top assignee: Au Optronics Corporation. Active years: 2013-2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jen-Yu Lee. Retrieved from https://idiyas.com/inventor/jen-yu-lee

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.6

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2013-2016

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3 patents (USPTO):Explore Patents

Title: Jen-Yu Lee: Pixel-Structure Innovations

Introduction

Jen-Yu Lee is an inventor based in Taoyuan, Taiwan. His work includes pixel structures and fabrication methods for display technology. He is associated with AU Optronics Corporation and holds 3 patents.

Latest Patents

Lee’s listed patents include “Pixel Structure and Fabrication Method Thereof” and “Pixel Structure.” Both describe a process for forming a pixel electrode electrically connected to a drain electrode.

The method patterns a metal layer to create source and drain electrodes, then patterns a semiconductor layer to form a channel layer and pixel pattern. Insulation layers cover these components, and a gate electrode is formed above the channel. A pixel opening exposes part of the pixel pattern, which is modified to create the pixel electrode.

Career Highlights

Lee’s patent work focuses on pixel structures and their fabrication, addressing how display components can be arranged and electrically connected. His listed affiliation is AU Optronics Corporation.

Collaborations

Lee’s listed coworkers include Shou-Wei Fang and Tsung-Hsiang Shih.

Conclusion

Jen-Yu Lee’s listed inventions center on pixel structures and fabrication methods that connect pixel electrodes with display circuitry.

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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