• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.85-91
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• 2016

This paper proposes a collective approach to cited text recognition by exploiting a set of citing text from different articles citing the same article. First, the proposed method gathers highly-ranked cited sentences from the cited article using a group of citing text to create a collective information of probable cited sentences. Then, such collective information is used to determine final cited sentences among highly-ranked sentences from similarity-based cited text recognition. Experiments have been conducted on the data set which consists of research articles from a computational linguistics domain. Evaluation results showed that the proposed method could improve the performance of similarity-based baseline approaches.

• The Research Journal of the Costume Culture
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• v.27 no.4
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• pp.299-309
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• 2019

Citation frequency is an important factor in evaluating journal quality and is used as a measure of journal impact. The citation index of a paper plays an important role in linking papers with groups of other academic papers, forming a huge and complex network. This study examines the intellectual structure of apparel research through the bibliometric citation analysis of The Research Journal of the Costume Culture (RJCC). In order to analyze the changes in the intellectual structure of the RJCC, we used the Korea Citation Index's (KCI) data (highly citing journals and highly cited journals). The NodeXL, a social network analysis tool, was used to examine the connection structure between journals. In order to identify the academic influence of the RJCC, we used the KCI journal citation index. Our findings indicate that the RJCC has a high centrality index among the clothing-oriented journals in the same life sciences field. A look at the journals citing the RJCC and the journals cited within the RJCC also showed that more journals of diverse fields have been recently linked through their citations. This suggests that a convergence of interdisciplinary research is underway in the field of clothing. As a result of examining international journals cited in the RJCC, it was confirmed that they were cited in prominent international journals in various fields.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.392-403
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• 2010

This paper analyzes the international impact of the scientific research of major countries by scientific field and examines its meaning. To this end, we select the highly cited papers (HCP) from scientific papers that are regarded as the output of scientific research, and then measure and compare the level of major countries' scientific impact, considering the input factors (GDP, R&D expenditure, and researchers) of scientific research. Based on the results of the analysis, we draw the conclusion and implications, and finally present the limitations of research and further research in this field.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.357-379
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• 2010

The citation analysis is not applied to group measurements but to individual papers finding their impact factors among citation chains which are created by tracing citing-cited relationship between any two papers in data set. The individual impact factor is measured by adding each value derived from citation chain. Each paper's impact factor index is calculated by adding the values of each index by direct citing-cited relationship, and the values of each impact factor made by indirectly influencing to the papers in the citation chain. The research introduces a grace period, in which the system holds the papers not cited by other papers yet, but are expected to be cited within this period. Eventually not cited papers after the grace period would be eliminated by the system. The experiment suggests a reasonable database in which the highly influenced papers are gathered, and could be serviced in stead of buying databases filled with worthless not-cited-papers.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1655-1664
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• 2013

Recently, it becomes essential to forecast the future and identify emerging technologies in order to improve R&D efficiency and gain a competitive advantage under rapidly changing environment of science and technology. Therefore this research aims to identify the future and emerging technologies especially for the industry and applied it to list top ten emerging technologies. In this study, we identify research fronts across all areas of science and technology through verifying and comparing the 2008 and the 2012 surge in research activities. Finally we detect rapidly increasing 10 promising technology areas. This research results are expected to provide valuable information to support stragegic and policy decision making.

• Journal of Korean Library and Information Science Society
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• v.49 no.2
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• pp.245-266
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• 2018

This study proposes a novel method to rank highly-cited papers that incorporate the likelihood of receiving future citations. Instead of using the total citation count, the proposed method ranks most-papers based on the yearly citation growth rate (YCGR). The rank of YCGR can be obtained by calculating the average ranks of five individual citation related variables: 1) Total Citation Count, 2) Leftside-Slope, 3) Publication Year, 4) Peak Year, and 5) Rightside-Slope. To empirically test the proposed method, yearly citation counts with other relevant bibliographic records of the 50 most-cited papers in Library and Information Science (LIS) journals used in the study conducted by Walters and Wilder were collected from the Scopus database for the years 1996 to 2016. The result indicated that the YCGR appears to reflect the degree to which the paper is likely to receive future citations, and the ranked list based YCGR offered an alternative viewing feature of the highly-cited papers in LIS. Although more empirical analyses are needed, the rank based on YCGR in conjunction with variables related to YCGR can be used as an alternative method in recognizing influential papers in LIS.

• The Journal of the Korea Contents Association
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• v.8 no.2
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• pp.231-238
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• 2008

With the development of methodologies, there are also the researches for the concrete item selection for selecting the future emerging researches and technologies. In this paper, we use scientometrics for that purpose in the sectors of construction and transportation. In our scientometric analysis, we use Scopus database, top 1% cited papers, bibliographic coupling, cosine coefficient, and hierarchical clustering and then carry additional experts verification on our results. We try to show the detailed process of scientometric analysis and its possibility as objective methodologies to select the future emerging researches and technologies.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.223-239
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• 2006

As the fact that science is the driving force behind technological development and that technological innovation contributes to economic development has been proved empirically convincing, the interaction between science and technology is highly emphasized in advanced countries. But, Korea has not been active in conducting research on science-based technological development and on the scientific fields that have strong relationships with Korean technology. This study attempts to explore the influence of scientific research papers cited in US patents by Koreans on other US patents and identify the interactions between scientific research papers and patents, by examining the scientific references cited in the Korean-originated US patents.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.851-854
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• 2008

Science-based Industry which is future growth industry leading national competitiveness in knowledge-based society is highly science-dependent field when developing technologies. And highly science-based field is absolutely dependent on core scholarly papers. Due to researchers' need of academic papers related to developing technologies and advances of linking technologies, it is possible to link service between patents and scholarly papers. This paper's purpose is to describe on implementation linking service between EPO patent and papers that cited on search reports. First, it describe case study of other linking services. Second, it describes a kinds of data used in linking services. Lastly, it describe implementation of linking different kinds of contents (patents and papers) in KISTI.

• Journal of Information Science Theory and Practice
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• v.2 no.1
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• pp.22-34
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• 2014

This paper analyzes India's contribution to world tribology research during the period 2001-2012 based on SCOPUS records. India's global publication share, annual output, and its citation impact of Indian contribution, partner countries, leading contributors, leading institutes, and highly cited papers were analyzed. Additionally, a cloud technique is used to map frequently used single words in titles. It is observed that India ranks in the $7^{th}$ position with a global publication share of 3.83% and an annual average growth rate of 25.58% during the period 2001-2012. The citation impact of India's contribution is 6.05 which decreased from 12.74 during 2001-2006 to 4.62 during 2007-2012. 17.4% of India's total research output was published with international collaboration.