Research output per year
Research output per year
Personal profile
Biography
Yuan joined CCP in September, 2024. She enjoys exploring socio-economics subjects using applied networks science and data analysis techniques. With an inter-disciplinary background, her main research interests include technology innovation, measure of novelty, digital gig economy and others. Yuan has a PhD in Economics and Management Science at the School for Advanced Studies Lucca in Italy. Before CCP she worked at the School of Economics at UEA.
Areas of Expertise
Technological innovation, patent data analysis, econometric analysis, network analysis and visualization, digital gig economy
Key Research Interests
Innovation, artificial intelligence, digital gig economy
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A New Empirical Index to Track the Technological Novelty of Inventions: A Sector Level Analysis
Gao, Y. & Lazarova, E., 6 Sep 2024, (Accepted/In press) In: Journal of Evolutionary Economics.Research output: Contribution to journal › Article › peer-review
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Ex-ante Novelty and Creative Destruction in Inventions: A Network Approach to Patent Data Analysis
Gao, Y. & Lazarova, E., 17 Dec 2023.Research output: Contribution to conference › Paper
Open AccessFile9 Downloads (Pure) -
Ex-ante Novelty and Invention Quality: A Cross-country Sectoral Empirical Study
Gao, Y. & Lazarova, E., 11 Dec 2023, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Open AccessFile4 Downloads (Pure) -
Regional industrial growth and biopharma patent networks: empirical insights from the UK
Gao, Y. & Zhu, Z., 16 Nov 2022, In: Applied Network Science. 7, 77.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile7 Downloads (Pure) -
Finding Cross-Border Collaborative Centres in Biopharma Patent Networks: A Clustering Comparison Approach Based on Adjusted Mutual Information
Zhu, Z. & Gao, Y., Nov 2021, Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021: Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. & Sales-Pardo, M. (eds.). Springer, p. 62-72 11 p. (Studies in Computational Intelligence; vol. 1015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile2 Citations (Scopus)13 Downloads (Pure)