Items where Author is "Gao, Yuan"

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Number of items: 6.

Article

Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304 and Zhu, Zhen (2022) Regional industrial growth and biopharma patent networks: empirical insights from the UK. Applied Network Science, 7. ISSN 2364-8228

Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304, Zhu, Zhen, Kali, Raja and Riccaboni, Massimo (2018) Community evolution in patent networks: technological change and network dynamics. Applied Network Science, 3. ISSN 2364-8228

Book Section

Zhu, Zhen and Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304 (2021) Finding Cross-Border Collaborative Centres in Biopharma Patent Networks: A Clustering Comparison Approach Based on Adjusted Mutual Information. In: Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Studies in Computational Intelligence . Springer, ESP, pp. 62-72. ISBN 978-3-030-93408-8

Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304, Zhu, Zhen and Riccaboni, Massimo (2017) Consistency and Trends of Technological Innovations: A Network Approach to the International Patent Classification Data. In: International Conference on Complex Networks and their Applications. Springer, pp. 744-756. ISBN 978-3-319-72149-1

Conference or Workshop Item

Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304 and Lazarova, Emiliya ORCID: https://orcid.org/0000-0002-7178-0644 (2023) Ex-ante Novelty and Creative Destruction in Inventions: A Network Approach to Patent Data Analysis. In: 2023 European Winter Meeting of the Econometric Society, 2023-12-17 - 2023-12-19, University Place, University of Manchester.

Gao, Yuan ORCID: https://orcid.org/0000-0003-3505-9304 and Lazarova, Emiliya ORCID: https://orcid.org/0000-0002-7178-0644 (2023) Ex-ante Novelty and Invention Quality: A Cross-country Sectoral Empirical Study. In: Royal Economics Society Annual Conference 2024, 2024-03-25 - 2024-03-27, Queen's University. (In Press)

This list was generated on Thu Mar 28 19:33:14 2024 UTC.