San Jose, CA, United States of America

Wenling Cai


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2013

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Wenling Cai

Introduction

Wenling Cai is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in the area of data processing and archiving. With a total of two patents to his name, his work has garnered attention for its innovative approach to hierarchical classification levels.

Latest Patents

Wenling Cai's latest patents focus on "Processing archive content based on hierarchical classification levels." This invention involves indexing newly archived files at different classification levels, which define various types of metadata. The first classification level includes a broader range of metadata, while the second level contains fewer types. By flagging the second newly archived file differently, the system allows for easier data retrieval and updates in the future. This innovative approach enhances the efficiency of managing archived content.

Career Highlights

Wenling Cai is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in data processing. His expertise in hierarchical classification systems has positioned him as a valuable asset to the company.

Collaborations

Wenling has collaborated with notable coworkers, including Karen Wolfe Brannon and Sangeeta T Doraiswamy. These collaborations have likely enriched his work and contributed to the innovative projects he has undertaken.

Conclusion

Wenling Cai's contributions to technology through his patents and work at IBM highlight his role as a significant inventor in the field. His innovative methods for processing archived content demonstrate the potential for advancements in data management.

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