arrow
Return

PubExplorer: An interactive analytical system for visualizing publication data

delete2023-09-01
delete0
delete
OA
AI
M
Minzhu Yu
Y
Yan Wang
X
Xiaomin Yu
G
Guihua Shan *
Z
Zhong Jin
DOI:10.1016/j.visinf.2023.07.001delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
With the intersection and convergence of multiple disciplines and technologies, more and more researchers are actively exploring interdisciplinary cooperation outside their main research fields. Facing a new research field, researchers often hope to quickly learn what is being studied in this field, which research points are receiving high attention, which researchers are studying these research points, and then consider the possibility of collaborating with core researchers on these research points. In addition, students who are preparing for academic further education usually conduct research on mentors and mentors' research platforms, including academic connections, employment opportunities, etc. In order to satisfy these requirements, we (1) design a research point state map based on a science map to help researchers and students understand the development state of a new research field; (2) design a bar-link author-affiliation information graph to help researchers and students clarify academic networks of scholars and find suitable collaborators or mentors; (3) designs citation pattern histogram to quickly discover research achievements with high research value, such as the Sleeping Beauty papers, recently hot papers, classic papers and so on. Finally, an interactive analytical system named PubExplorer was implemented with IEEE VIS publication data, and its effectiveness is verified through case studies. (c) 2023 The Authors. Published by Elsevier B.V. on behalf of Zhejiang University and Zhejiang University Press Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords:
Scientific literature
Research points analysis
Visual analytics system
Publication analysis
Text visualization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Visual Informatics cover
Visual Informatics
IF:
3.9
Papers:
247
Citations:
628

Organization

C
chinese academy of sciences
Scholars:
56.7W
Papers: 45.0W
Citations: 704
Cited Papers

Cited Papers

Defining and identifying Sleeping Beauties in science
err2015-05-26
err303
errOAAI
errKe, Qing; Ferrara, Emilio; Radicchi, Filippo; Flammini, Alessandro
errShare
errSave
errShare
errSave
errShare
errSave
errShare
errSave
Birdsong Detection at the Edge with Deep Learning
err2021-08-01
err0
PREAI
errSimone Disabato; Giuseppe Canonaco; Paul G. Flikkema; Manuel Roveri; Cesare Alippi
errShare
errSave
Sleeping Beauties in science
err2004-01-01
err447
PREAI
errvan Raan, AFJ
errShare
errSave
errShare
errSave
researcher View more