WITHDRAWN: Present scientific methodologies to predict promising technology: Focusing on predicting promising technologies in the Korean railway industry through quantitative patent data analytics-Reference-Cited by-同舟云学术

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WITHDRAWN: Present scientific methodologies to predict promising technology: Focusing on predicting promising technologies in the Korean railway industry through quantitative patent data analytics

Published:2023-06 Issue: Volume: Page:100251
ISSN:2772-5693
Container-title:Science Talks
language:en
Short-container-title:Science Talks

Author:

Lee Yong-Jae,Lee Tae-Seong

Publisher

Elsevier BV

Reference43 articles.

1. Canada's changing innovation landscape;Alam;Sci. Public Policy,2022

2. Artificial intelligence and machine learning in energy systems: a bibliographic perspective;Entezari;Energy Strat. Rev.,2023

3. Which types of online resource support US patent claims?;Font-Julian;J. Informetr.,2022

4. Potential of patent image data as technology intelligence source;Jee;J. Informetr.,2022

5. PQPS: Prior-art query-based patent summarizer using RBM and Bi-LSTM;Kumaravel;Mobile Information Systems,2021

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