Shanghai, China

Mang Chen

This inventor holds 1 USPTO granted patent. Top assignee: Sharp Kabushiki Kaisha Corporation. Active years: 2011.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mang Chen. Retrieved from https://idiyas.com/inventor/mang-chen-1njcx5tb

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

Calculating rank

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Innovations of Mang Chen in Image-Document Retrieval

Introduction

Mang Chen is a notable inventor based in Shanghai, China. He has made significant contributions to the field of image-document retrieval technology. His innovative approach focuses on improving the accuracy of retrieving image documents that primarily contain text and graphics.

Latest Patents

Mang Chen holds a patent for an "Image-document retrieving apparatus, method of retrieving image document, program, and recording medium." This invention utilizes feature vectors that include information on feature blocks of images. The method combines text areas of a page image document to form rectangular images. By analyzing the geometric structure of the page, the document is divided into multiple blocks. Subsequently, feature blocks that describe the characteristics of the page document image are selected. This process enhances the retrieval accuracy of image documents.

Career Highlights

Mang Chen is associated with Sharp Kabushiki Kaisha Corporation, where he applies his expertise in image processing and retrieval technologies. His work has been instrumental in advancing the capabilities of image-document retrieval systems.

Collaborations

Some of his notable coworkers include Bo Wu and Yadong Wu, who have collaborated with him on various projects within the company.

Conclusion

Mang Chen's innovative contributions to image-document retrieval technology demonstrate his commitment to enhancing the accuracy of information retrieval systems. His work continues to influence advancements in this field.

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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