Guangdong, China

Lulu Wang

This inventor holds 1 USPTO granted patent. Top assignee: Shenzhen Technology University. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lulu Wang. Retrieved from https://idiyas.com/inventor/lulu-wang-14gmcogq

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Lulu Wang and Magnetic Induction Molecular Imaging

Introduction

Lulu Wang is an inventor associated with Shenzhen Technology University in Guangdong, China. Her patent work concerns magnetic induction molecular imaging for detecting biological tissue.

Latest Patents

The provided information lists one patent for Wang: “Magnetic Induction Molecular Imaging Method and Magnetic Induction Molecular Imaging System for Biological Tissue Detection.” The invention describes a system that uses magnetic nanoparticles, electromagnetic waves, sensor arrays, and computer equipment to collect scattered electric- and magnetic-field information from a target area. The patent record provided does not specify a filing or publication date, so its status as her latest patent cannot be confirmed. Wang is credited with 1 patent in the supplied data.

Career Highlights

Wang’s listed invention brings together magnetic nanoparticle delivery, magnetic-field generation, signal transmission and reception, and sensor-based data acquisition. The system is designed to gather information from biological tissue for molecular imaging and detection.

Collaborations

The supplied information associates Wang with Shenzhen Technology University. It does not identify specific co-inventors, research partners, or other collaborating organizations.

Conclusion

Lulu Wang’s documented patent work focuses on a magnetic induction imaging system for biological tissue detection, combining nanoparticles and sensor-based field measurements.

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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