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Journal of Engineering Design Volume 33, 2022 - Issue 10
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Research Article

Technology fitness landscape for design innovation: a deep neural embedding approach based on patent data

Shuo Jianga School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;b Data-driven Innovation Lab, Singapore University of Technology and Design, SingaporeCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5970-7949
ORCID Icon &
Jianxi Luob Data-driven Innovation Lab, Singapore University of Technology and Design, SingaporeORCID Iconhttps://orcid.org/0000-0001-5892-8432
ORCID Icon
Pages 716-727 | Received 20 Oct 2022, Accepted 31 Oct 2022, Published online: 11 Nov 2022

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Pingfei Jiang, Mark Atherton & Salvatore Sorce. (2023) Extraction and linking of motivation, specification and structure of inventions for early design use. Journal of Engineering Design 34:5-6, pages 411-436.
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Jiami Yang, Hude Quan & Yong Zeng. (2022) Knowledge: the good, the bad, and the ways for designer creativity. Journal of Engineering Design 33:12, pages 945-968.
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