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XIAOPING HU

Overview
  • Total Patents
    17
About

XIAOPING HU has a total of 17 patent applications. Its first patent ever was published in 2002. It filed its patents most often in China. Its main competitors in its focus markets computer technology are CELLIUS INC, ARGONAUT TECHN LTD and PANOVASIC TECHNOLOGY CO LTD.

Patent filings in countries

World map showing XIAOPING HUs patent filings in countries
# Country Total Patents
#1 China 17

Patent filings per year

Chart showing XIAOPING HUs patent filings per year from 1900 to 2020

Focus industries

# Industry
#1 Computer technology

Focus technologies

# Technology
#1 Image data processing

Top inventors

# Name Total Patents
#1 Xiaoping Hu 17
#2 Baotong Wang 2
#3 Jiarong Yang 1
#4 Zheng Yu 1
#5 Wenjing Shang 1
#6 Shengmin Yu 1
#7 Guogan Xiong 1
#8 Suan Yu 1
#9 Zhengyang Zhao 1
#10 Chongrui Hu 1

Latest patents

Publication Filing date Title
CN102221063A Shock insulation device of engineering weaving sand bag specially for floating equipment
CN102008784A Auxiliary instrument for touching water
CN101627950A Field bath physical therapy health-care equipment
CN101991304A Automatic tallying shelf and special laminate thereof
CN101627773A Wound protective agent for preventing apple tree canker
CN101962930A Soil engineering bag cushion and application method thereof
CN101624571A Rapid separation and culture method of apple scab germs
CN101856544A Laser temperature-measuring transducer
CN101740184A Polisher for processing surface of insulator mandril
CN101732957A Desulphurization system of circulating fluidized bed boiler
CN101603550A Joint-row extraction siphon drainage device
CN101598257A Mobile water tank type siphon lyophobic device
CN101587192A Small multi-channel radioactivity measuring instrument consisting of PIN detectors
CN101339715A Advertisement demonstration method and promotion desk applying the method
CN1733051A Medicine for treating pig leucorrhea and scabies
CN1508489A Direct-combustion two-efficiency thermal machine
CN1374789A Digital image compression method