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INFORMATION RES INSTITUTE OF SHANDONG ACADEMY OF SCIENCES

Overview
  • Total Patents
    11
  • GoodIP Patent Rank
    150,525
  • Filing trend
    ⇩ 100.0%
About

INFORMATION RES INSTITUTE OF SHANDONG ACADEMY OF SCIENCES has a total of 11 patent applications. It decreased the IP activity by 100.0%. Its first patent ever was published in 2017. It filed its patents most often in China. Its main competitors in its focus markets it methods for management, computer technology and digital networks are BEIJING ORACLE CHAIN TECH CO LTD, AUTHERNATIVE INC and HAINAN XINRUAN SOFTWARE CO LTD.

Patent filings in countries

World map showing INFORMATION RES INSTITUTE OF SHANDONG ACADEMY OF SCIENCESs patent filings in countries
# Country Total Patents
#1 China 11

Patent filings per year

Chart showing INFORMATION RES INSTITUTE OF SHANDONG ACADEMY OF SCIENCESs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Li Chen 10
#2 Wei Moji 10
#3 Yu Junfeng 10
#4 Zhu Shiwei 10
#5 Li Sisi 9
#6 Liu Cuiqin 9
#7 Yang Aiqin 8
#8 Li Xianyi 8
#9 Zhang Mingjun 8
#10 Xu Beibei 8

Latest patents

Publication Filing date Title
CN109739849A A kind of network sensitive information of data-driven excavates and early warning platform
CN109710767A Multilingual big data service platform
CN109726292A Text analyzing method and apparatus towards extensive multilingual data
CN109740037A The distributed online real-time processing method of multi-source, isomery fluidised form big data and system
CN108269332A A kind of intelligent access control system and method based on mobile terminal APP
CN107203623A The load balancing adjusting method of network crawler system
CN107203872A Region demand for talent based on big data quantifies analysis method
CN107239891A A kind of bid checking method based on big data
CN107241319A Distributed network crawler system and dispatching method based on VPN
CN107239892A Region talent's equilibrium of supply and demand quantitative analysis method based on big data
CN107203849A Region talent supply quantitative analysis method based on big data