University of Cambridge | United Kingdom
Xin Du has demonstrated a strong academic and research profile, reflected in both publication records and citation impact. According to available bibliometric data, she has authored and co-authored over 20 research documents, including peer-reviewed journal articles, conference papers, and manuscripts under review, spanning topics such as deep learning, transfer learning, image processing, and computational biology. Her work has gained notable recognition in the scientific community, with a citation count exceeding 600 across platforms such as Scopus and Google Scholar, which highlights the relevance and influence of her contributions in interdisciplinary research areas. Importantly, her h-index stands at 12, signifying that at least 12 of her publications have each received a minimum of 12 citations, underscoring both consistency and impact in her research output. Many of her works, such as the 2020 Nature Communications Biology article on transfer learning across species and the 2021 Entropy paper on information bottleneck theory, are widely cited and form key references in their fields. The combination of an increasing number of publications, growing citation trends, and a steadily rising h-index reflects her expanding influence, making her a promising researcher with potential for even higher impact in future scientific contributions.
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