Zhanjiang, China

Qijun Zhou

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Guangdong Ocean University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qijun Zhou. Retrieved from https://idiyas.com/inventor/qijun-zhou

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Qijun Zhou: Innovator in Fish Knowledge Graph Construction

Introduction

Qijun Zhou is a notable inventor based in Zhanjiang, China. He has made significant contributions to the field of knowledge graph construction, particularly in the context of fish data. His innovative approach combines ontology-driven methods with advanced data processing techniques.

Latest Patents

Qijun Zhou holds a patent for an "Ontology-driven method and system for constructing fish knowledge graph in target region." This invention involves a comprehensive process that includes combing a fish data source, constructing a fish knowledge ontology, and collecting both text and image data. The method enhances the processing accuracy and efficiency of unstructured fish information by performing knowledge extraction and measuring information content to create a multi-modal knowledge graph.

Career Highlights

Qijun Zhou is affiliated with Guangdong Ocean University, where he applies his expertise in fish knowledge systems. His work focuses on improving the understanding and management of fish data, which is crucial for various applications in marine biology and fisheries.

Collaborations

Qijun Zhou collaborates with colleagues such as Yunrong Yan and Xurui Liao, contributing to advancements in their shared field of research.

Conclusion

Qijun Zhou's innovative work in constructing fish knowledge graphs represents a significant advancement in the field of data processing and ontology-driven methods. His contributions are vital for enhancing the understanding of fish data in targeted regions.

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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