EDBT 2026 Demo / reviewers in the wild / expert
Xuan Liu 0004
dblp:13/5407-4
· DBLP profile ↗
4ranked-venue papers in the field
2as first author
3since 2021 · last 2023
0000-0001-5370-937XORCID · verified
Domains — venue-derived; a paper can count in several
Knowledge Engineering, Semantic Web & Information Systems · 3 (1 first)Information Retrieval & Web Search · 1 (1 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Order matters: Breaking cognitive lock-in through occasional preferential use of a rival app
Jia Li 0024, Jerry Zeyu Peng, Xuan Liu 0004 |
Inf. Manag. | 5 |
| 2022 | Effect of writing style on social support in online health communities: A theoretical linguistic analysis framework
Shan Jiang 0002, Xuan Liu 0004, Xiaotong Chi |
Inf. Manag. | 2 |
| 2022 | The Effect of Media Richness on the Stability of Physician-Patient Relationships on E-Consultation PlatformsabstractIncorporating media richness theory, social presence theory, and apparatgeist theory, the authors used multiple linear regression to explore the effect of media richness on the stability of physician-patient relationships and the moderating effect of disease complexity and response timeliness on the relationship between media richness and relationship stability. The results showed that media richness had a positive effect on the stability of physician-patient relationships. Additionally, both disease complexity and response timeliness positively affect the relationship between media richness and the stability of physician-patient relationships. This research contributes to the literature concerning media selection, e-consultation platforms, and physician-patient relationships; and it provides practical guidance for online doctor teams on how to select appropriate media communication forms for patient consultations in different situations. Xuan Liu 0004, Jia Li 0024, Meimei Chen |
J. Glob. Inf. Manag. | 1 |
| 2011 | Determining inventor status and its effect on knowledge diffusion: A study on nanotechnology literature from China, Russia, and IndiaabstractIn an increasingly global research landscape, it is important to identify the most prolific researchers in various institutions and their influence on the diffusion of knowledge. Knowledge diffusion within institutions is influenced by not just the status of individual researchers but also the collaborative culture that determines status. There are various methods to measure individual status, but few studies have compared them or explored the possible effects of different cultures on the status measures. In this article, we examine knowledge diffusion within science and technology-oriented research organizations. Using social network analysis metrics to measure individual status in large-scale coauthorship networks, we studied an individual's impact on the recombination of knowledge to produce innovation in nanotechnology. Data from the most productive and high-impact institutions in China (Chinese Academy of Sciences), Russia (Russian Academy of Sciences), and India (Indian Institutes of Technology) were used. We found that boundary-spanning individuals influenced knowledge diffusion in all countries. However, our results also indicate that cultural and institutional differences may influence knowledge diffusion. Xuan Liu 0004, Siddharth Kaza, Pengzhu Zhang, Hsinchun Chen |
J. Assoc. Inf. Sci. Technol. | 1 |