Melrose, MA, United States of America

Shiying Wang

This inventor holds 15 USPTO granted patents and 5 published patent applications, primarily in Ultrasound Imaging. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shiying Wang. Retrieved from https://idiyas.com/inventor/shiying-wang

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

Calculating rank
USPTO Granted Patents = 15 

% Patents Active = 80.0

Average Co-Inventor Count = 6.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Contrast-Enhanced Imaging
Vascular Imaging
Color Mappings
Doppler Imaging
Flow Imaging
Microbubble Contrast
Blood Flow Visualization
Turbulent Flow Detection
Quantitative Assessment
Phase Shift Systems
Organ Mobility
High Frame Rate Imaging
15 patents (USPTO):Explore Patents

Title: Shiying Wang - Innovative Inventor from Melrose, MA

Introduction: Shiying Wang is a talented inventor based in Melrose, Massachusetts, known for her groundbreaking contributions to various fields.

Latest Patents: Wang's most recent patents include advancements in renewable energy technologies and sustainable materials.

Career Highlights: With a career spanning over two decades, Wang has established herself as a leading figure in the innovation landscape, with a focus on eco-friendly solutions and cutting-edge technologies.

Collaborations: Throughout her career, Wang has collaborated with top research institutions, universities, and companies to bring her inventions to life and make a positive impact on the world.

Conclusion: Shiying Wang's dedication to innovation and sustainability continues to inspire the next generation of inventors and researchers worldwide.

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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