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Assistant Professor at Xiamen University studying intellectual property, innovation, and patent policy.

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Undergraduate research on a fluorescent magnetic nanomaterial for visualizing latent fingermarks.

Combining logistic regression with a BP neural network, this study identifies the main determinants of patent profitability across applicant-, patent-, and event-level characteristics.

Using court decisions from across China, this study examines the evidentiary weight of patent technical appraisal opinions and offers institutional recommendations for commissioning, cross-examination, and professional oversight.

Using the patent review system as an entry point, my co-authors and I assessed the economic effectiveness of innovation incentives for environmental protection.

This article focuses on the implications of the distance characteristics of inter-firm technology transactions (mainly in the form of patent transfers) for subsequent innovation by firms.

Using fast-tracking patent applications as a quasi-natural experiment, we find that extending effective patent length stimulates corporate innovation and facilitates knowledge spillovers.

Using a patent dataset for China’s integrated circuit manufacturing industry, this study shows how foreign enterprises can use patent appropriability to create technological path dependence and lock-in.

Using an instrumental-variable approach and two-stage least squares, this study finds that early patent application publication reduces information asymmetry and significantly promotes technology transactions.

Examining the strategic use of early publication, this study finds that it may increase low-quality filings and create a policy-driven patent bubble.

This study finds that early publication shortens patent maintenance duration, with knowledge spillovers and infringement risk serving as key mechanisms through which innovation value is eroded.

This study explains the distinctive value of negative-result data for AI for Science and proposes an implementation framework encompassing data collection, contribution incentives, and iterative data–model feedback.

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