Papers
3
Total Citations
59
H-Index
3
About
Zhipeng Qiu is a leading researcher in technology forecasting and patent analytics, with a focus on uncovering the evolutionary trajectories of emerging technologies. His work lies at the intersection of natural language processing, citation network analysis, and intellectual property intelligence. Qiu’s major contributions include developing novel frameworks that combine semantic analysis of patent texts with citation structures to map technological development. His 2020 paper, "Technology Forecasting Based on Semantic and Citation Analysis of Patents: A Case of Robotics Domain," has garnered 30 citations and established a foundational methodology for predicting innovation pathways. He further refined these techniques in his 2023 study on surgical robot domains, integrating patent claims with citation data to trace technological origination. Qiu also pioneered methods for simplifying complex patent citation networks and evaluating technological inheritance, as demonstrated in his 2021 work. With over 59 citations across his most influential papers, his research provides critical tools for R&D strategists, policymakers, and innovation scholars seeking to navigate the rapidly evolving patent landscape. His work is particularly notable for making patent big data actionable for strategic decision-making.
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