Shanghai, China

Jingting Fei


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovator Jingting Fei: Pioneering Semantic Data Visualization

Introduction

Jingting Fei is a notable inventor based in Shanghai, China. He has made significant contributions to the field of data visualization through his innovative patent. His work focuses on enhancing the visual representation of data sets by incorporating semantic information, which adds depth and clarity to data interpretation.

Latest Patents

Jingting Fei holds a patent titled "Uniform chart formatting based on semantics in data models." This invention presents a system designed to visually enhance charts of one or more data sets by integrating semantic information. The data points in these data sets represent values of one or more measures. The system includes a data model that specifies these measures and incorporates measure annotations that provide semantic information. A processor executes instructions stored in memory to implement a chart component, which renders data points in a chart and visually enhances it with semantic information retrieved from the data model. Jingting Fei has 1 patent to his name.

Career Highlights

Jingting Fei is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His role involves leveraging his expertise in data modeling and visualization to develop innovative solutions that meet the needs of users and businesses alike.

Collaborations

Jingting has collaborated with esteemed colleagues such as Gerald Krause and Vincent Monnier. Their combined efforts contribute to the advancement of technology in data visualization and analytics.

Conclusion

Jingting Fei's work exemplifies the intersection of technology and data interpretation. His innovative approach to semantic data visualization is paving the way for more intuitive and informative data presentations. His contributions are significant in enhancing how we understand and interact with data.

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