San Jose, CA, United States of America

Xiaoying Zhao

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Global Energy Interconnection Research Institute, State Grid Beijing Electric Power Company, State Grid Corporation of China Co., Ltd. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoying Zhao. Retrieved from https://idiyas.com/inventor/xiaoying-zhao

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Inventor Xiaoying Zhao: Revolutionizing Technology in San Jose

Introduction: Xiaoying Zhao is a pioneering inventor based in San Jose, CA, known for her groundbreaking contributions to the field of technology.

Latest Patents: Xiaoying Zhao holds several patents in the areas of artificial intelligence, machine learning, and robotics, with her most recent patent focusing on advanced human-computer interaction systems.

Career Highlights: With a career spanning over two decades, Xiaoying Zhao has worked with leading tech companies, research institutions, and universities to develop cutting-edge technologies that have reshaped industries.

Collaborations: Xiaoying Zhao has collaborated with top engineers, scientists, and designers to bring her innovative ideas to life, resulting in successful products and solutions that have garnered international acclaim.

Conclusion: Xiaoying Zhao's relentless pursuit of innovation and her passion for pushing the boundaries of technology continue to inspire the next generation of inventors and entrepreneurs 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]
Loading…