Austin, TX, United States of America

Johnny Meng-Han Shieh

This inventor holds 181 USPTO granted patents and 2 published patent applications, plus 5 CIPO patents and 4 EPO patents, primarily in Web Security Technology (CPC class 345173). Top assignees: International Business Machines Corporation, Lenovo (Singapore) Pte. Ltd., Nuance Communications, Inc.. Active years: 1996-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Johnny Meng-Han Shieh. Retrieved from https://idiyas.com/inventor/johnny-meng-han-shieh

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

Calculating rank
USPTO Granted Patents = 181 

% Patents Active = 61.3


 

Average Co-Inventor Count = 3.2

ph-index = 43

Forward Citations = 7,216(Granted Patents)

Forward Citations (Not Self Cited) = 7,086(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:


Years Active: 1996-2021

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Areas of Expertise:
Web Security
Automated Message Filing
Chat Group Management
Password Management
Data Integrity
Electronic Mail
Network Security
Memory Access Authentication
Event Alerting
Data Migration
Optimization Algorithms
Flawed Media Correction
181 patents (USPTO):Explore Patents

Title: Johnny Meng-Han Shieh: Innovating Web Security and Collaboration

Introduction:

In the field of web security and user protection, Johnny Meng-Han Shieh has made significant contributions throughout his career. With 181 patents to his name, he has continually demonstrated his expertise in developing groundbreaking technologies to enhance online safety. Currently based in Austin, Texas, Shieh's work has primarily focused on helping users determine the safety of supplying personal information on web pages and applications.

Latest Patents:

Among Shieh's recent patents is the "Security-risk plugin to help targeted users interact with web pages and applications." This innovative technology involves the extraction of textual content from a web page requesting user information. By analyzing the text and identifying the type of information requested, as well as the service type offered by the web page, the system can compare them to predefined rules to determine a risk level associated with the page. This information is then visually displayed as an indicator of the risk level, aiding users in making informed decisions about sharing their personal data.

Career Highlights:

Johnny Meng-Han Shieh has built an impressive career working with renowned companies such as IBM (International Business Machines Corporation) and others. During his tenure at these organizations, he has consistently contributed to cutting-edge developments in web security and privacy. Shieh's dedication to enhancing user experiences and protecting sensitive data has earned him widespread acclaim and recognition within the industry.

Collaborations:

Throughout his career, Shieh has collaborated with esteemed professionals, further reinforcing his commitment to innovation and knowledge sharing. Two notable individuals who have worked alongside Shieh include Gerald Francis McBrearty and Shawn Patrick Mullen. These collaborations have fostered a rich environment for ideation and the creation of impactful inventions.

Conclusion:

Johnny Meng-Han Shieh stands as a leading figure in the field of web security and user protection. With a remarkable portfolio of 181 patents, including his latest groundbreaking achievement in the realm of security-risk plugins, Shieh has consistently demonstrated his proficiency in applying cutting-edge technological solutions to safeguard users' personal information. His career highlights at companies like IBM highlight his commitment to advancing the field and collaborating with industry experts. Shieh's contributions have undoubtedly played a significant role in strengthening online security and ensuring a safer digital experience for all.

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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