• Journal of Information Science Theory and Practice
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• v.2 no.1
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• pp.48-61
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• 2014

Using statistic and bibliometric methods to characterize scientific cooperation between China (excluding Hong Kong, Macao, and Taiwan) and South Korea through their bilateral co-authored papers covered by the Science Citation Index CD-ROM, 1991-2010, in our paper we exploit the feature of their cooperation in four levels: time sequence, academic community, key fields, and institution distribution. From the time sequence we know that collaboration between China and Korea starts in 1991, reaching the first peak during 2004-2007. As for the academic community, the number of Chinese corresponding authors (2414) is slightly lower than that of Korea (2700). Regarding the 27 high yield authors, there are only 4 coming from China. Korea has a higher active level than Chinese authors. China and Korea tend to cooperate with each other on strong disciplines such as physics, chemistry, material science, engineering, mathematics, pharmaceutical, computer science and biology. Furthermore, they also attach great importance to basic research and high-tech cooperation. Besides, Chinese Academy of Sciences ranks at the top 1 among the distribution of institutions. As a majority of the collaborative institutions are universities, the participation of non-university institutions is relatively low. There are 7 Korean universities among the top ten institutions, while Yanbian University and Tsinghua University in China rank respectively as third and fourth. Seoul National University, accompanied by Korea University and Yonsei University as the three top Korean universities, is also among the top among the cooperating institutions.

• Transactions of the Korean hydrogen and new energy society
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• v.33 no.4
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• pp.318-329
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• 2022

This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.179-191
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• 2013

Since information scientists have begun trying to quantify significant research trends in scientific publications, '-metrics' research such as 'bibliometrics', 'scientometrics', 'informetrics', 'webometrics', and 'citation analysis' have been identified as crucial areas of information science. To illustrate the dynamic research activities in these areas, this study investigated the major contributors of '-metrics' research for the last decade at three levels: nations, institutions, and documents. '-metrics' literature of this study was obtained from the Science Citation Index for the years 2001-2011. In this analysis, we used Pathfinder network, PNNC algorithm, PageRank and several indicators based on h-index. In terms of international collaborations, USA and England were identified as major countries. At the institutional level, Katholieke University, Leuven and the University of Amsterdam in Europe and Indiana University and the Office of Naval Research in the USA have led co-research projects in informetrics areas. At the document level, Hirsch's h-index paper and Ingwersen's web impact factor paper were identified as the most influential work by two methods: PageRank and single paper h-index.

• Journal of the Korean association of regional geographers
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• v.23 no.3
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• pp.437-449
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• 2017

As a new duty of universities, contributions to localities and regions are magnified as an important issue and overseas universities are creating it as the index to use self evaluations and public relations actively. The universities in Korea are expanding resources usage of university and proceeding various businesses to enhance co-operation with local government, civic groups and companies lately. However, it is still in an embryo. This study is aiming to analyze cases of foreign universities and the socio-economic impacts of university on the region and discover evaluation index based on the results to be applied to the universities in Korea. This study had considered the evaluation of local effect by the university conducted by the Higher Education Funding Council for England(HEFCE) which is the representative case to analyze the impacts of university on the region at the level of government and independent organizations. The applicable common index had been extracted for universities in Korea from case studies on University of Rochester in the US and University of Birmingham in the UK considered as a representative university in North America and Europe respectively which are publishing a white paper on local and regional impacts of the university by using various index. As a result, 24 items in six areas(economic influence, research, education, art & cultural services, regional development, and the field of university specialization) had been deducted as the evaluation index which represents the local and regional impacts of university. This index could be secured through holding materials of each university and 'Higher Education in KOREA' as university information disclosure service and it might be applied to the universities in Korea.

• Journal of Information Science Theory and Practice
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• v.5 no.2
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• pp.48-61
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• 2017

This paper uses 601 cited papers of Pakistani LIS researchers with the purpose to examine the individual performance of these Library and Information Science (LIS) researchers in terms of their research output and its impact on the LIS (national/international) literature by using various bibliometric indicators. A list of 139 authors was compiled with the help of the Library, Information Science, and Technology Abstracts (LISTA) and some other sources. Data were collected from Google Scholar and SPSS version 20 was utilized in order to identify the relationship between self-citations and various performance indices of the authors. The average citations received per paper vary from 1.80 to 10.08. About half of the papers were single-authored whereas less than one-fifth were by three or more authors. The authors who worked in collaboration produced more papers and received more citations. The h-index, g-index, hI-index, hI-norm, and e-index were used to determine the rank for each author. The intra-group citations grid revealed the volume of self-citations and a small group who cite each other more due to close academic and social relationships. The correlations between self-citations and the impact indices used revealed significant differences. Findings are useful for concerned institutions regarding award, promotions, etc. Further, future research should seriously consider the self-citations and social networking of authors while examining their citations-based research performance.

• International Journal of Contents
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• v.11 no.1
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• pp.52-61
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• 2015

In the past decade, East Asian Research has received attention from researchers as well as in South Korea society-at-large. The broad category of East Asian Research includes various disciplinary fields, such as "history, economics, and politics; however, few studies have used quantitative analysis to explore its development. In this paper, we used network analysis to identify the disciplines and active research areas, focusing on productivity, collaboration patterns, and citation networks of East Asian Research in South Korea. For this study, 6,646 journal publications related with East Asian Research and indexed by KCI (Korean Citation Index) during the 10-year period of 2004-2013 were considered. Results show that East Asian Research was led during this period by sole-researchers, rather than interdisciplinary studies. Moreover, a co-institution network represents active institutions with a high degree and collaborative centrality. In terms of journal-journal citation networks, journals belonging to both "history" and "Korean literature" disciplines were dominant.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.177-189
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• 2020

The OECD has assessed Korea as the third highest in trade facilitation worldwide. The paperless trade of Korea is world class based on uTradeHub : national e-trade service's infrastructure for trade community. Over 800 trade-related document standards provide interoperability of message exchange and trade process automation among exporters, importers, banks, customs, airlines, shippers, forwarders and trade authorities. Most one-to-one unit processes are perfectly paperless & online; however, from the perspective of process flow, there is a lack of streamlining end-to-end trade processes spread over many different parties. This situation causes the trade community to endure repetitive-redundant load for handling trade documents. The trade community has a strong demand for seamless trade flow. For streamlining the trade process, processes with data should flow seamlessly to multilateral parties. Flowing data with an optimized process is the critical success factor to accomplish seamless trade. This study proposes four critical digital trade infrastructures as a platform service : (1) data-centric Intelligent Document Recognition(IDR), (2) data-driven Digital Document Flow (DDF), (3) platform based Digital Collaboration & Communication(DCC), and (4) new digital Trade Facilitation Index (dTFI) for precise assessment of K-Trade Digital Trade Framework. The results of new dTFI analyses showed that redundant reentry load was reduced significantly over the whole trade and logistics process. This study leads to the belief that if put into real-world application can provide huge economic gains by building a new global value chain of the K-trade eco network. A new digital trade framework will be invaluable in promoting national soft power for enhancing global competitiveness of the trade community. It could become the advanced reference model of next trade facilitation infrastructure for developing countries.

• International journal of thyroidology
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• v.10 no.1
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• pp.14-23
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• 2017

Background and Objectives: To evaluate and compare the diagnostic performances of grayscale ultrasound (US) and quantitative parameters obtained from texture analysis of grayscale US and elastography images in evaluating patients with diffuse thyroid disease (DTD). Materials and Methods: From September to December 2012, 113 patients (mean age, $43.4{\pm}10.7years$) who had undergone preoperative staging US and elastography were included in this study. Assessment of the thyroid parenchyma for the diagnosis of DTD was made if US features suggestive of DTD were present. Nine histogram parameters were obtained from the grayscale US and elastography images, from which 'grayscale index' and 'elastography index' were calculated. Diagnostic performances of grayscale US, texture analysis using grayscale US and elastography were calculated and compared. Results: Of the 113 patients, 85 (75.2%) patients were negative for DTD and 28 (24.8%) were positive for DTD on pathology. The presence of US features suggestive of DTD showed significantly higher rates of DTD on pathology, 60.7% to 8.2% (p<0.001). Specificity, accuracy, and positive predictive value was highest in US features, 91.8%, 84.1%, and 87.6%, respectively (all ps<0.05). Grayscale index showed higher sensitivity and negative predictive value (NPV) than US features. All diagnostic performances were higher for grayscale index than the elastography index. Area under the curve of US features was the highest, 0.762, but without significant differences to grayscale index or mean of elastography (all ps>0.05). Conclusion: Diagnostic performances were the highest for grayscale US features in diagnosis of DTD. Grayscale index may be used as a complementary tool to US features for improving sensitivity and NPV.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.1
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• pp.68-77
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• 2018

Purpose: The aim of this study was to establish a hypothetical model on silence regarding patient safety and to verify the model's goodness of fit and hypotheses. Methods: The participants in this study were 330 registered nurses working in tertiary hospitals with over 300 beds. Data were collected between July 1, and August 30, 2017, from nurses who agreed to participate. A covariance structure analysis was performed. Results: The model of fit index was $x^2=59.54$, normed $x^2=2.29$, GFI=.97, AGFI=.93, SRMR=.05, NFI=.99, CFI=.95 and RMSEA=.05. The organizational culture had an influence on patient safety motivation (${\beta}=.26$, p=.003) and attitude (${\beta}=.43$, p<.001). RN-MD collaboration had an influence on patient safety motivation (${\beta}=.33$, p<.001), attitude (${\beta}=.35$, p<.001), and patient safety silence (${\beta}=-.17$, p=.026). Supervisory trust had an influence on patient safety motivation (${\beta}=.26$, p<.001), attitude (${\beta}=.12$, p=.036), and patient safety silence (${\beta}=-.23$, p=.002). Patient safety motivation had an influence on patient safety silence (${\beta}=-.33$, p=.006). The model of patient safety silence explained 36.0% of the variances. Conclusion: This study is meaningful in that it provides basic data for nursing education and program development for rejecting patient safety silence.

• Journal of Information Science Theory and Practice
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• v.2 no.3
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• pp.40-54
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• 2014

This paper attempts to highlight quantitatively the growth and development of literature in the field of ecology in terms of publication output using the resource Web of Science$^{(R)}$. The focus of this analysis was to study the literature on ecology published in three journals, viz., Ecology Letters, Trends in Ecology & Evolution, and Annual Review of Ecology Evolution and Systematics. 2946 records were retrieved for 10 years (2003-2012). The study revealed that multiple authorship in the field with collaborations of two (30.31%) and three authors (19.89%) was dominant. The Degree of collaboration, Collaborative coefficient, and Collaborative index were calculated and the applicability of Lotka's law was tested. The study identified five-year patterns in research trends, using the three studied journals, to see if the subjects of focus changed within a decade. The most productive institution was University Calif. Davis, USA, followed by University Calif. Santa Barbara, USA, and University Queensland, Australia, and the most productive countries were the USA followed by UK and Canada.