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HANGZHOU PINGPONG INTELLIGENT TECH CO LTD

Overview
  • Total Patents
    11
  • GoodIP Patent Rank
    162,236
  • Filing trend
    ⇩ 77.0%
About

HANGZHOU PINGPONG INTELLIGENT TECH CO LTD has a total of 11 patent applications. It decreased the IP activity by 77.0%. 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 and digital networks are PAYNET PAYMENTS NETWORK LLC, THOMSON FINANCIAL INC and HU LIYING.

Patent filings in countries

World map showing HANGZHOU PINGPONG INTELLIGENT TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 11

Patent filings per year

Chart showing HANGZHOU PINGPONG INTELLIGENT TECH CO LTDs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Chen Yu 11
#2 Xiong Wei 11
#3 Wang Ning 11
#4 Lu Shuai 11
#5 Chen Peng 11
#6 Xie Weiliang 6
#7 Liu Xiaorui 2

Latest patents

Publication Filing date Title
CN108681957A Cross-border electric business trade order restoring method and system and equipment and storage medium
CN108550052A Brush list detection method and system based on user behavior data feature
CN108038696A Brush list detection method and system based on equipment mark code and social group information
CN107705036A Dynamic credit estimation method and system based on multi-dimensional data
CN107767138A On-line payment is counter to cheat method and system
CN107705110A Fund pool based on multiple target pays sequence optimisation method and device
CN107730382A Fund pool pays optimization method, system and computer-readable recording medium, equipment
CN107220833A A kind of online credit methods and system towards electric business
CN107220821A The cross-border point of account method based on inline electronic account, point account platform and payment platform
CN108694573A The depth that dynamic network is accounted pays point account method and system
CN107103460A The quick settlement method of cross-border payment based on credit big data