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SHENZHEN XINLIU TECH CO LTD

Overview
  • Total Patents
    13
  • GoodIP Patent Rank
    129,660
  • Filing trend
    ⇧ 1000.0%
About

SHENZHEN XINLIU TECH CO LTD has a total of 13 patent applications. It increased the IP activity by 1000.0%. Its first patent ever was published in 2017. It filed its patents most often in China and WIPO (World Intellectual Property Organization). Its main competitors in its focus markets computer technology, medical technology and it methods for management are CEL KOM LLC, WUHAN ZHIPU TIANCHUANG TECH CO LTD and JAIN LAKSHYA.

Patent filings in countries

World map showing SHENZHEN XINLIU TECH CO LTDs patent filings in countries

Patent filings per year

Chart showing SHENZHEN XINLIU TECH CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Han Bicheng 13
#2 Zheng Hui 9
#3 Cheng Yi 9
#4 Shan Sicong 9
#5 Cheng Jiao 7
#6 He Huan 7
#7 Yang Zhaoyi 6
#8 Yu Xiang 6
#9 Wu Yidi 5
#10 Sun Dongsheng 4

Latest patents

Publication Filing date Title
CN109381285A Finger and artificial limb
CN109480817A Regimen generation method, device, terminal and readable storage medium storing program for executing
CN109480837A E.E.G induces adjusting method, device and computer readable storage medium
CN109480867A Psychological condition adjusting method, device and computer readable storage medium
CN109407531A Intelligent home furnishing control method, device and computer readable storage medium
CN109481274A Brain massage system based on user's portrait label
CN109009171A Attention assessment method, system and computer readable storage medium
CN108926838A Method of setting a question, system and the computer readable storage medium of attention game
CN108805762A Instruction analysis method, server and computer readable storage medium
CN108830461A Instruction analysis method, server and computer readable storage medium
CN108766532A Improve teaching method, device and the computer readable storage medium of attention
CN107479709A System and method for carrying out neural feedback training using video-game