Harbin, China

Yongyue Wu

This inventor holds 1 USPTO granted patent. Top assignee: Harbin Medical University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongyue Wu. Retrieved from https://idiyas.com/inventor/yongyue-wu

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yongyue Wu: Inventor in Magnetic Resonance Imaging

Introduction

Yongyue Wu is an inventor associated with Harbin, China, and Harbin Medical University. His patent work concerns magnetic resonance imaging systems designed to support multi-nuclear scanning.

Latest Patents

The provided information lists one patent for Wu: “Multi-core integrated magnetic resonance imaging system with distributed, parallel, and scalable architecture.” The invention describes a highly integrated MRI system with a multi-nuclear scanning and reconstruction computer and a scanning control unit. Its control components coordinate timing sequences, radio-frequency transmission and acquisition, gradient signal generation, and coil tuning. The architecture is designed to support synchronous or time-sharing excitation and signal acquisition for multiple nuclides, including hydrogen, fluorine, phosphorus, and sodium. Wu’s listed patent count is 1 patent.

Career Highlights

Wu’s listed invention focuses on a scalable, parallel architecture for multi-nuclear MRI. The system’s design brings several scanning and control functions together to support imaging across different types of nuclides.

Collaborations

The provided information identifies Harbin Medical University as Wu’s company affiliation and names Xilin Sun and Chuanxing Wu as coworkers.

Conclusion

Yongyue Wu’s listed patent reflects work on an integrated, scalable MRI system intended to enable multi-nuclear imaging.

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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