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Identifying the technology convergence using patent text information : a graph convolutional networks (GCN)-based approach
Zhu, Chen; Motohashi, Kazuyuki - In: Technological forecasting & social change : an … 176 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013337401
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Technological competitiveness of China's internet platformers : comparison of Google and Baidu by using patent text information
Motohashi, Kazuyuki; Zhu, Chen - In: Asia Pacific journal of innovation and entrepreneurship … 18 (2024) 3, pp. 224-250
Persistent link: https://www.econbiz.de/10015189435
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Identifying technology opportunity using a dual-attention model and a technology-market concordance Matrix
Motohashi, Kazuyuki; Zhu, Chen - 2023
Persistent link: https://www.econbiz.de/10014426347
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Identifying technology opportunity using dual-attention model and technology-market concordance matrix
Motohashi, Kazuyuki; Zhu, Chen - In: Technological forecasting & social change : an … 197 (2023), pp. 1-13
Persistent link: https://www.econbiz.de/10014468743
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Technological competitiveness of China's internet platforms : comparison of Google and Baidu using patent text information
Motohashi, Kazuyuki; Zhu, Chen - 2020
Persistent link: https://www.econbiz.de/10014368738
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Identifying the Technology Convergence Using Patent Text Information : A Graph Convolutional Networks (GCN)-Based Approach
Zhu, Chen; Motohashi, Kazuyuki - 2021
The potential for new values and products created by technology convergence to disruptively transform existing industries and markets is high. In this regard, it has been crucial for companies to understand and identify potential convergence patterns as early as possible to make timely strategic...
Persistent link: https://www.econbiz.de/10013212153