Beijing, China

Ying Chi

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Beijing, CN (2020 - 2023)
  • Hangzhou, CN (2023 - 2024)

Company Filing History:


Years Active: 2020-2025

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6 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Inventor Ying Chi

Introduction

Ying Chi is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in drug affinity prediction and data processing methods. With a total of six patents to his name, his work has garnered attention in various industries.

Latest Patents

Ying Chi's latest patents include a method and system for predicting the affinity between a drug and a target. This innovative approach involves acquiring both the drug and the target for interaction, determining the compound through interaction, and computing topological structure graphs to label spatial characteristics of atoms in the compound. The affinity between the drug and the target is then determined based on these graphs. Another notable patent is related to a data processing method, apparatus, and device. This invention provides a method for obtaining data from at least two different modalities, determining overlapping keywords by analyzing textual descriptions, and storing the data in an associative manner based on these keywords.

Career Highlights

Throughout his career, Ying Chi has worked with notable companies such as Alibaba Group Holding Limited and Siemens Healthcare GmbH. His experience in these organizations has allowed him to apply his innovative ideas and contribute to advancements in technology.

Collaborations

Ying Chi has collaborated with several professionals in his field, including Xiansheng Hua and Chao Liu. These collaborations have further enhanced his work and led to the development of impactful technologies.

Conclusion

Ying Chi's contributions to innovation and technology are evident through his patents and career achievements. His work continues to influence the fields of drug affinity prediction and data processing, showcasing his role as a leading inventor in the industry.

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