Yuanxi Fu
Doctoral Student
PhD, Information Sciences, Illinois (in progress)
MS, Bioinformatics, Illinois
PhD, Chemistry, Illinois
BS, Chemistry, Nanjing University
Research focus
I study how science is argued in this big data and social media era. I also explore the role of data-driven approach and knowledge graphs in accelerating scientific discoveries.
Honors and Awards
- CASOS Summer Institute & IDeaS Summer Institute Scholarship (2002)
- The Web Conference 2021 scholarship
- JASIST's Top Reviewers for 2021
Courses currently teaching
Advisor
Publications & Papers
Fu, Y., Clarke, C. V., Van Moer, M., & Schneider, J. (2024). Exploring evidence selection with the inclusion network. Quantitative Science Studies, 1–27. https://doi.org/10.1162/qss_a_00287
Schneider, J., Woods, N. D., Proescholdt, R., & the RISRS Team. (2022). Reducing the Inadvertent Spread of Retracted Science: Recommendations from the RISRS report. Research Integrity and Peer Review, 7(1), 6. https://doi.org/10.1186/s41073-022-00125-x
Fu, Y., Yuan, J., & Schneider, J. (2021). Using Citation Bias to Guide Better Sampling of Scientific Literature. Proceedings of the 18th International Conference on Scientometrics & Informetrics, 419–424. http://jodischneider.com/pubs/issi2021.pdf
Schneider, J., Woods, N. D., Proescholdt, R., Fu, Y., & Team, T. R. (2021). Reducing the inadvertent spread of retracted science: Shaping a research and implementation agenda. F1000Research, 10(211), 211. https://doi.org/10.7490/f1000research.1118522.1
Fu, Y., Schneider, J., & Blake, C. (2021). Finding Keystone Citations for Constructing Validity Chains among Research Papers. Companion Proceedings of the Web Conference 2021, 451–455. https://doi.org/10.1145/3442442.3451368
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
Fu, Y., & Schneider, J. (2020). Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 217–226. https://doi.org/10.1145/3383583.3398514