Lam Weng Siew

National University of Malaysia, Universiti Tunku Abdul Rahman

Papers

Total Citations

H-Index

About

Lam Weng Siew is a researcher whose work bridges statistical information theory and applied financial optimization. Her most-cited paper, a 2022 bibliometric analysis of information theoretic studies (27 citations), systematically maps how this once niche communication theory has expanded into diverse scientific fields, quantifying uncertainty across disciplines. This foundational review has become a key reference for scholars tracking the evolution of information theory applications. In parallel, Siew addresses practical business challenges through operations research, as demonstrated in her 2021 study on optimizing financial management for electronics companies using goal programming models. This work tackles the pressures of smart city development and emerging technologies like augmented reality and robotics, offering data-driven strategies for resource allocation. While her citation counts reflect a growing but early-stage impact, Siew’s dual focus on theoretical bibliometrics and applied optimization highlights a versatile approach—quantifying knowledge structures while solving real-world financial constraints. Her contributions are particularly relevant for researchers at the intersection of information science and management analytics, where rigorous statistical methods meet strategic decision-making.