Evolution of MEMS Motion Sensor Technology in China and The United States based on Patent Citation Network: From the Perspective of Technology Life Cycle

Fang Huang

doi:10.6919/ICJE.202411_10(11).0003

Authors

Fang Huang

DOI:

https://doi.org/10.6919/ICJE.202411_10(11).0003

Keywords:

S-curve; Technology Life Cycle; Citation Network; Main Path.

Abstract

Utilizing patent information related to MEMS motion sensors, this study employs the Logistic model to fit an S-curve for delineating the technology life cycle of MEMS motion sensor technology. It identifies the top two Chinese and American patents globally based on application volume and conducts a macro comparison between high-citation, high-value star patents from both countries. By applying the Search Path Counts (SPC) algorithm, we extract the primary trajectory of MEMS motion sensors in China and the US, subsequently proposing a technique evolution mapping method that integrates this main path with citation networks. This allows for a comparative analysis of technological trajectories between China and the US, culminating in constructive recommendations aimed at universities, enterprises, and other innovative entities within our country.

Downloads

Download data is not yet available.

References

[1] Lian Lili, Yu Jinping, Lian Pengfei Analysis of Patent Situation of MEMS Acceleration Sensor [J] Electronic Intellectual Property, 2014 (06): 48-53.

[2] Ling-Feng-Lai, Jiang J F, Wei H Y, et al. Depth sensor used in vehicle-related patent analysis[J]. PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS FOR SCIENCE AND ENGINEERING (IEEE-ICAMSE 2016), 2016:384-387.

[3] Liang Qinqin, Zhao Zhiyun, Zhao Yunhua Current Status and Trends of Global MEMS Sensor Technology Innovation: Based on Patent Analysis from 2000 to 2014 [J] Research on Technology Management, 2016, 36 (10): 165-169.

[4] Ki W, Kim K. Generating Information Relation Matrix Using Semantic Patent Mining for Technology Planning: A Case of Nano-Sensor[J]. IEEE ACCESS, 2017,5:26783-26797.

[5] Zhao Hua, Liu Tao, Song Yanyan, etc Patent Situation and Warning Analysis of Grating Displacement Sensor [J] Instrumentation Technology and Sensors, 2020 (09): 31-35.

[6] Hummon N P, Dereian P. Connectivity in a citation network: The development of DNA theory[J]. Social Networks, 1989,11(1):39-63.

[7] Xu Zhenliang, Zhang Jianyu, Liu Ximei Analysis of the Technological Evolution Path in the Midstream of Rare Earth Industry Based on Patent Citations [J] Rare Earth, 2019,40 (04): 149-158.

[8] Xu Guannan, Xie Mengjiao, Pan Meijuan, etc Research on the Evolution and Prediction of 3D Printing Industry Technology: Based on Patent Main Path Analysis [J] Journal of Beijing University of Posts and Telecommunications (Social Sciences Edition), 2016,18 (04): 77-85.

[9] Peng Aidong, Li Huan, Wang Yang Research on the Technological Evolution Path Based on Patent Citation Network: A Case Study of Laser Display Technology [J] Intelligence Theory and Practice, 2013, 36 (08): 57-61.

[10] Liu Xuzhao Research on the Technological Development and Evolution of China's Vaccine Industry Based on Patent Network Analysis [D] South China University of Technology, 2021

[11] Zhang Jianyu Overview of Patent Technology Research and Development, R&D Hotspots, and Evolution Path in the Wind Power Industry [D] Inner Mongolia University, 2020.

[12] Cao Lei, come to Yaojing Research on the Evolution Path of Intelligent Logistics Technology Based on Patent Citation Network [J] Logistics Technology and Applications, 2019, 24 (10): 196-198.

[13] Zhang Ben Comparison and Inspiration of Life Cycle Characteristics of High Speed Rail Technology at Home and Abroad: Based on Patent Perspective [J] Intelligence Magazine, 2020, 39 (01): 83-90.

[14] Qiao Yongzhong, Wang Zhuolin Research on the Quality of Invention Patents Winning the China Patent Gold Award by Different Types of Patent Owners [J] Intelligence Magazine, 2018, 37 (10): 120-125.

[15] Zhang Kequn, Niu Kuang, Xia Weiwei Analysis of Factors Influencing the Quality of Highly Cited Patents: A Case Study of the LED Industry [J] Intelligence Magazine, 2018, 37 (02): 81-87.