Byeong-Hee Lee
Papers
2
Total Citations
51
H-Index
2
About
Byeong-Hee Lee is a leading researcher in bibliometrics and scientometrics, with a focus on understanding the evolution and impact of emerging technologies. His work uniquely combines advanced computational methods—such as topic modelling and social network analysis—to map the intellectual landscape of cutting-edge fields. In his highly cited 2019 study on humanoid robot technology, Lee applied latent Dirichlet allocation to scientific publications and patents, revealing hidden thematic structures and collaborative networks that define this dynamic domain. This paper, with 48 citations, has become a foundational reference for researchers tracking the convergence of robotics and artificial intelligence. Lee has also made significant contributions to the study of citation dynamics. His 2020 investigation into the factors influencing the waiting time to first citation—including author count and international collaboration—provides a novel early indicator of a publication’s long-term impact. By bridging the gap between traditional citation metrics and predictive analytics, Lee’s work offers practical tools for evaluating scientific performance and forecasting research trajectories. His research is essential reading for anyone interested in the quantitative analysis of science and technology.
Research Focus
Key Achievements
Top Papers
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