Tzu-Kun (Esther) Hsiao

Tzu-Kun Hsiao

Doctoral Student

PhD, Information Sciences, Illinois (in progress)

MA, Library and Information Science, National Taiwan University

BA, Library and Information Science, National Taiwan University

Research focus

My research interests are on topics related to knowledge diffusion, citation context, and scholarly communication. In particular, my research combines data mining, text mining, and machine learning techniques with citation analysis. I have used citation links and citation contexts for understanding how patents were used in scientific publications. Currently, I am working on extracting citation motives and functions through citation contexts.

Courses currently teaching

Publications & Papers

Hsiao, T.-K., & Torvik, V. I. (2020). Technology footprints in scientific discovery: Citation contexts of paper-to-patent citations. Proceedings of the Association for Information Science and Technology, 57(1), e337. https://doi.org/10.1002/pra2.337

Hsiao, T.-K., Fu, Y., & Schneider, J. (2020). Visualizing evidence-based disagreement over time: The landscape of a public health controversy 2002–2014. Proceedings of the Association for Information Science and Technology, 57(1), e315. https://doi.org/10.1002/pra2.315

Hsiao, T.-K., & Torvik, V. I. (2019). Knowledge transfer from technology to science: The longevity of paper-to-patent citations. Proceedings of the Association for Information Science and Technology, 56(1), 417–421.

Cheng, Y.-Y., Parulian, N., Hsiao, T.-K., Dinh, L., Sarol, J., & Schneider, J. (2019). ReTracker: Actively and automatically matching retraction metadata in Zotero. Proceedings of the Association for Information Science and Technology, 56(1), 372–376.

Dinh, L., Sarol, J., Cheng, Y.-Y., Hsiao, T.-K., Parulian, N., & Schneider, J. (2019). Systematic examination of pre-and post-retraction citations. Proceedings of the Association for Information Science and Technology, 56(1), 390–394.

Tang, M.-C., Hsiao, T.-K., & Ou, I.-A. (2017). Not All Books in the User Profile Are Created Equal: Measuring the Preference “Representativeness” of Books in aNobii Online Bookshelves. International Conference on HCI in Business, Government, and Organizations, 424–433.