• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.657-661
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• 2006

오늘날 지식기반사회에서 새로운 과학의 출현이 새로운 산업으로 확산되어 국가경쟁력에 이바지하고 있다. 일반적으로 논문을 통한 연구는 과학을 대변하고, 기술은 특허로 대체되는 것으로 인지하고 있다. 현재 과학은 SCI 의 인용색인 데이터를 바탕으로 각 문헌에 대한 인용통계정보를 제공하는 저널평가 테이터베이스인 JCR을 활용하여 분석하고 평가, 파악하고 있는 실정이다. 과학기술 분야의 누적된 논문수, 인용횟수, 연구자 분석 등 다양하게 적용할 수 있다. 반면 특허는 전체 출원, 등록건수 등 국가의 거시적인 흐름을 평가하는 수단으로는 주로 활용되어지고 있으나 정보소스의 한계나 분석시의 한계로 인하여 다양한 분석이 활용되기 어려운 실정이다. 인용정보로서 활용시 이를 위한 과도한 전처리 작업이 요구되며, 분석이 번거롭고 용이하지 않는 현실이므로 다양하게 분석시 사용하기가 어렵다. 이를 활용하여 문헌에 적용된 분석을 활용하여 새로운 고부가 정보를 제안해 보고자 한다.

• Journal of the Korean Society for Library and Information Science
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• v.31 no.1
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• pp.29-52
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• 1997

A questionnaire survey was conducted to investigate the use of SCI and awareness of SCI source journals by fatuity members at Korean medical colleges. 104 out of 180 faculty members randomly chosen from four prestigious medical colleges returned the questionnaires malled to them. Korean medical researchers rarely used SCI as their main source of research Information. They rather used the MEDLINE to seek the research information probably because they are easily available from their local libraries. Furthermore. many respondents mistakenly Identified 'SCI journals ranked by Impact factor' lists found In Journal Citation Reports (JCR) with the SCI Itself. That Is. In Korean medical research community. the virtue of SCI Is not as an Index but as a source of SCI Journal Impact factor Information. It Is because the Interest in impact factor Is highly associated with the pressure to publish In one of those SCI source Journals. The collected data shows that even the medical professors at these prestigious medical colleges suffer from the lack of knowledge and information about SCI. SCI source journals and their Impact factors. Nontheless, core journal titles of a medical specialty selected by Korean medical professors are mostly high-Impact Journals of Its field (1.e.. belong to the upper 1/3) zone ranked by Impact factor). Within each specialty. the Journal ranks assigned to the selected core Journals by the respondents agree with the ranks by SCI Impact factor to a great extent. That Is. the Korean medical scientists awareness on SCI Journals as defined in this study is in good standing. Therefore. a policy of a medical college to require medical professors to publish In SCI Journals to be promoted or a policy to evaluate a researcher's work by the fact that his research papers are published In SCI Journals can be positively pursued.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.915-936
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• 2011

The purpose of this study is to conduct an in-depth analysis of the effect of support on the quality of research. Involved in this study were two areas of studies, namely; engineering and natural science and the respondents were accordingly selected among those who majored in the studies. The findings of the research are summarized as follows; The timely support for the research had a positive effect in rasing the quality of research to KCI and SCI. Granting that there are differences in the effect of support on research quality depending on the areas of studies, it is essential that the process of formulating support policies take into account the characteristics of the area of study.

• Restorative Dentistry and Endodontics
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• v.45 no.2
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• pp.17.1-17.10
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• 2020

Objectives: Citation analysis provides a unique insight into how scientific interests and research trends have changed over time. The aim of this study was to report on the 50 top-cited papers in dental stem cell research using the Science Citation Index Expanded provided by the Web of Science database to determine the academic importance of each contribution. Materials and Methods: After the screening, article title and type, total citations and citations per year, publication journal, publication year, first and senior authors, country of origin, institution, and university of reprint author were documented for the 50 top-cited articles in dental stem cell research. Keyword analysis was performed to determine which keywords were most/least popular. Results: Top 50-cited articles were cited between 179 to 2,275 times. The majority of papers were published in 2008 and originated from the United States with the highest contribution from the National Institute of Dental & Craniofacial Research. Journal of Dental Research published the highest number of top-cited articles, followed by Stem Cells and Journal of Endodontics. The greatest number of articles was published by two individual authors, Shi and Gronthos. Among 197 unique keywords, dental pulp stem cells and mesenchymal stem cells were the most frequently used. Thirty-eight of the 50 most cited articles were original articles, and 37 of them were in the field of basic science. Conclusions: Basic science studies in dental stem cell research published in high impact factor journals had the highest citation rates.

• The Journal of Industrial Distribution & Business
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• v.10 no.4
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• pp.7-12
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• 2019

Purpose - The purpose of this study is to analyze the current status of various fusion research journals and its operational strategies, comparing them to those of IJIDB. Research design, data, and methodology - This study focused on the content analysis and strategies of operations for other convergence journals, comparing them to IJIDB in terms of the number of publication journals, publications, academic scope, and the impact factor. Results - IJIDB is relatively new and in its developmental stages compared to other convergence journals. But, IJIDB also shows much promise in that it came second in the field of economic publications of 54 journals in 2017. In order to To elevate IJIDB journal to the top in Korea Citation Index Journals, KODISA should host more international conferences to increase its international recognition levels, develop its managerial functions for increased stability, and open more opportunities for Candidates of Ph.D and Masters degree students to publish for fostering and building potential leaders and innovators. Conclusions - IJIDB is a newly born academic journal. In the future, IJIDB will be able to develop exponentially and be one of the leading journals in the Korea Citation Index by continually learning and developing its operational strategies.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.45 no.4
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• pp.186-191
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• 2019

Objectives: The aim of this study was to evaluate the journal category "oral surgery" in Scopus and in the Science Citation Index Expanded (SCIE). Materials and Methods: The Journal of Oral and Maxillofacial Surgery (JOMS), The Journal of the Korean Association of Oral and Maxillofacial Surgeons (JKAOMS), and The Journal of Prosthodontic Research (JPR) were selected from the Scopus list of journals as oral surgery journals. Maxillofacial Plastic and Reconstructive Surgery (MPRS) was selected from PubMed as a Scopus oral surgery title. From these titles, 10 recently published articles were collected and used for reference analysis. Results: The percentage of citations from oral surgery journals was 26.7%, 24.5%, and 40.1% for JKAOMS, MPRS, and JOMS, respectively. In total, 1.1% of JPR's citations were from oral surgery journals and significantly fewer from other journals (P<0.001). The percentage of citations from dentistry journals excluding oral surgery journals was 11.9%, 34.4%, and 15.8% for JKAOMS, MPRS, and JOMS, respectively. For JPR, 80.6% of citations were from dentistry journals and significantly more were from other journals (P<0.001). Conclusion: Selected samples revealed that JPR is incorrectly classified as an oral surgery journal in Scopus. In addition, the scientific interaction among JKAOMS, MPRS, and JOMS was different to JPR in the reference analysis.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.188-190
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• 2012

인용 레코드 추출은 인용 색인 구축의 모든 프로세스 입력으로 사용되기 때문에 이후의 과정에 미칠 수 있는 부작용을 고려해서 최대한 정확한 정보가 추출되어야 한다. 본 논문에서는 수집한 논문의 참고문헌 영역을 인식하고 이를 참고문헌 영역 내의 특징들을 이용하여 인용 레코드를 추출하는 템플릿 기반 인용 레코드 추출을 제안한다. 제안된 추출 방법은 기존 방법보다 18% 성능이 증가했으며 전체 인용 레코드에 대한 추출성능은 0.98(F1)의 성능을 보인다. 이는 향후 논문 저장소에서 논문을 대상으로 영역 인식을 통한 정보 추출에 유용하게 활용될 수 있으리라 기대된다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.79-86
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• 2019

It is very important to analyze and provide information resources for research output produced in the computer field, the core science of the 4th Industrial Revolution. In this paper, SCI journals cited from domestic journals in the computer field were identified and the citation rankings and their co-citation networks were generated, analyzed, mapped and visualized. For this, the bibliographic and citation index information from 2015 to 2017 in the KSCD were used as the basis data, and the co-citation method and network centrality analysis were used. As a result of this study, the number of citations and the citation ranks of SCI journals and papers cited by korean journals in the computer field were analyzed, and peak time(2 years), half-life(6.6 years), and immediacy citation rate(2.4%) were measured by citation age analysis. As a result of network centrality analysis, Three network centralities(degree, betweenness, closeness) of the cited SCI journals were calculated, and the ranking of journals by each network centrality was measured, and the relationship between the subject classifications of the cited SCI journals was visualized through the mapping of the network.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.21-37
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• 2013

Recently, as the advent of the knowledge-based society, there are more people getting interested in the intellectual property. Especially, the ICT companies leading the high-tech industry are working hard to strive for systematic management of intellectual property. As we know, the patent information represents the intellectual capital of the company. Also now the quantitative analysis on the continuously accumulated patent information becomes possible. The analysis at various levels becomes also possible by utilizing the patent information, ranging from the patent level to the enterprise level, industrial level and country level. Through the patent information, we can identify the technology status and analyze the impact of the performance. We are also able to find out the flow of the knowledge through the network analysis. By that, we can not only identify the changes in technology, but also predict the direction of the future research. In the field using the network analysis there are two important analyses which utilize the patent citation information; citation indicator analysis utilizing the frequency of the citation and network analysis based on the citation relationships. Furthermore, this study analyzes whether there are any impacts between the size of the company and patent citation relationships. 74 S&P 500 registered companies that provide IT and communication services are selected for this study. In order to determine the relationship of patent citation between the companies, the patent citation in 2009 and 2010 is collected and sociomatrices which show the patent citation relationship between the companies are created. In addition, the companies' total assets are collected as an index of company size. The distance between companies is defined as the absolute value of the difference between the total assets. And simple differences are considered to be described as the hierarchy of the company. The QAP Correlation analysis and MR-QAP analysis is carried out by using the distance and hierarchy between companies, and also the sociomatrices that shows the patent citation in 2009 and 2010. Through the result of QAP Correlation analysis, the patent citation relationship between companies in the 2009's company's patent citation network and the 2010's company's patent citation network shows the highest correlation. In addition, positive correlation is shown in the patent citation relationships between companies and the distance between companies. This is because the patent citation relationship is increased when there is a difference of size between companies. Not only that, negative correlation is found through the analysis using the patent citation relationship between companies and the hierarchy between companies. Relatively it is indicated that there is a high evaluation about the patent of the higher tier companies influenced toward the lower tier companies. MR-QAP analysis is carried out as follow. The sociomatrix that is generated by using the year 2010 patent citation relationship is used as the dependent variable. Additionally the 2009's company's patent citation network and the distance and hierarchy networks between the companies are used as the independent variables. This study performed MR-QAP analysis to find the main factors influencing the patent citation relationship between the companies in 2010. The analysis results show that all independent variables have positively influenced the 2010's patent citation relationship between the companies. In particular, the 2009's patent citation relationship between the companies has the most significant impact on the 2010's, which means that there is consecutiveness regarding the patent citation relationships. Through the result of QAP correlation analysis and MR-QAP analysis, the patent citation relationship between companies is affected by the size of the companies. But the most significant impact is the patent citation relationships that had been done in the past. The reason why we need to maintain the patent citation relationship between companies is it might be important in the use of strategic aspect of the companies to look into relationships to share intellectual property between each other, also seen as an important auxiliary of the partner companies to cooperate with.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.17-20
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• 2014

본 연구는 동시출현 단어분석 기법을 이용하여 최근 전세계적으로 많은 주목을 받고 있는 빅데이터(Big Data) 관련 연구 동향과 연구 영역을 분석하는 것을 목적으로 한다. 이를 위하여 인용색인데이터베이스인 Web of Science SCIE(Science Citation Index Expanded)에서 분석 대상 논문을 수집하였다. 논문 수집을 위한 검색식은 은 Title(논문 제목), Abstract(초록), Author Keywords(저자 키워드), Keywords $Plus^{(R)}$의 네 가지 필드를 동시에 검색하는 주제어(topic)가 "big data"를 포함하고 있는 논문 563편을 대상으로 동시출현단어 분석을 수행하였다.