Name
Abstract | ||
|---|---|---|
With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly information have become increasingly challenging. The term Big Scholarly Data is coined for the rapidly growing scholarly data, which contains information including millions of authors, papers, citations, figures, tables, as well as scholarly networks and digital libraries. Nowadays, various scholarly data c... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBDATA.2016.2641460 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Data mining,Big data,Metadata,Libraries,Social network services,Crawlers,Data analysis,Bibliographies | Data science,Metadata,Data mining,Content analysis,World Wide Web,Data analysis,Computer science,Social network analysis,Digital library,Data management,Big data,Electronic publishing | Journal |
Volume | Issue | ISSN |
3 | 1 | 2332-7790 |
Citations | PageRank | References |
44 | 1.05 | 78 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Xia | 1 | 2013 | 153.69 |
| Wei Wang | 2 | 1474 | 152.25 |
| Teshome Megersa Bekele | 3 | 85 | 4.45 |
| Huan Liu | 4 | 12695 | 741.34 |