9 citations · 12 across the 4 of their papers we have counts for
4 papers
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution
Chenyue Jiao, Chongke Bi, Lu Yang
Large-scale numerical simulations are capable of generating data up to terabytes or even petabytes. As a promising method of data reduction, super-resolution (SR) has been widely s…
How are exclusively data journals indexed in major scholarly databases? An examination of the Web of Science, Scopus, Dimensions, and OpenAlex
Chenyue Jiao, Kai Li, Zhichao Fang
As part of the data-driven paradigm and open science movement, the data paper is becoming a popular way for researchers to publish their research data, based on academic norms that…
Data sharing practices across knowledge domains: a dynamic examination of data availability statements in PLOS ONE publications
Chenyue Jiao, Kai Li, Zhichao Fang
As the importance of research data gradually grows in sciences, data sharing has come to be encouraged and even mandated by journals and funders in recent years. Following this tre…
The data paper as a socio-linguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstracts
Kai Li, Chenyue Jiao
The data paper is an emerging academic genre that focuses on the description of research data objects. However, there is a lack of empirical knowledge about this rising genre in qu…