Work

Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

Year: 2020

Type: article

Source: Journal of Informetrics

DOI: 10.1016/j.joi.2019.101004

Authors: Ya-Han Hu, Chun-Tien Tai, Kang Ernest Liu, Cheng-Fang Cai

Institutions: National Chung Cheng University, National Central University, National Cheng Kung University, Chiayi Chang Gung Memorial Hospital, National Taiwan University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: Ministry of Education, Ministry of Science and Technology of the People's Republic of China, Ministry of Science and Technology, Taiwan

Award: G85714203

OpenAlex ID: W3000385592

FWCI: 5.642

Cites: 57

Cited by: 60

Related to: 10