• New & Renewable Energy
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• v.16 no.4
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• pp.33-40
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• 2020

The research topics of more than 1,900 wind energy papers registered in the Korean Journal Citation Index (KCI) were modeled into 25 topics using latent directory allocation (LDA), and their consistency was cross-validated through principal component analysis (PCA) of the document word matrix. Key research topics in the wind energy field were identified as "offshore, wind farm," "blade, design," "generator, voltage, control," 'dynamic, load, noise," and "performance test." As a new method to determine the similarity between research topics in journals, a systematic evaluation method was proposed to analyze the correlation between topics by constructing a journal-topic matrix (JTM) and clustering them based on topic similarity between journals. By evaluating 24 journals that published more than 20 wind energy papers, it was confirmed that they were classified into meaningful clusters of mechanical engineering, electrical engineering, marine engineering, and renewable energy. It is expected that the proposed systematic method can be applied to the evaluation of the specificity of subsequent journals.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.245-260
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• 2012

This study aims to analyze the change in the correlation between the index values and qualitative quantitative evaluation elements by applying 'the decile of total number of articles' instead of the average annual number of articles in Kor-Factor2, and to evaluate the distinction ability between registered journals and register nominee journals of the KCI. The correlation between the index values and qualitative quantitative evaluation elements was analyzed by calculating the correlation coefficient between the index values and the evaluation elements, and then the correlation was compared with that of Kor-Factor2. To evaluate the distinction ability, we carried out independent samples t-test on the mean difference between index values of register nominee journal group and registered journal group and compared the mean difference with that of Kor-Factor2, IF and journal h-index. As a result, we found that the modified index applying the decile of total number of articles was effective in improving the balance among the correlation between the index values and qualitative quantitative evaluation elements compared to Kor-Factor2, and the new index appeared to be superior to other indexes on distinction ability of the journal's registration condition in the KCI.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.77-100
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• 2019

This study aims to analyze and compare centrality and brokerage measures of journal citation network focusing on textmining research. The analytic sample was 193 academic articles collected from 136 KCI journals published in 2018. The journal citation network was constructed based on citation relations. The characteristics, centralities, and brokerages of network was analyzed. The journal citation network consisted 136 nodes and 413 links with directed and weight. According to the five types of centrality(out-degree, in-degree, out-closeness, in-closeness, betweenness), journals of social sciences, engineering, and interdisciplinary research showed higher centrality. Social sciences, engineering and interdisciplinary research journals also showed higher brokerages as a result of brokerage analysis which identify five types of brokerage roles(coordinator, gatekeeper, representative, consultant, liaison). The centralities and brokerages of journals are positively correlated. This study suggested how to construct journal citation network from the articles focusing on certain topics. This was meaningful study in terms of conducting brokerage analysis and comparing it with centrality in the journal citation network.

• Journal of the Korean Society of Costume
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• v.62 no.8
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• pp.1-18
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• 2012

The purpose of the study was to offer in-depth understanding of the women's wear research trend in South Korea and thus to provide insights from the findings throughout the study to set appropriate directions for further development of women's wear related researches in the clothing and textile study area. The study considered research papers published by the 6 major apparel related journals listed on the KCI(Korea Citation Index) i.e. journals of the Korean Society of Clothing and Textiles(KSCT), the Korean Society of Costume(KSC), the Costume Culture Association (CCA), the Korean Society of Fashion Business(KSFB), the Korean Home Economics Association (KHEA) and the Korean Society for Clothing Industry(KSCI). A total of 380 research papers that were related with women's wear published from 2001 to 2010 were selected for the study and analyzed in the form of descriptive statistics using the SPSS Software ver. 18.0. The analysis was categorized according to the journals, years and research theme. The research themes were divided into various categories such as, clothing construction, textile science, fashion aesthetics and design, costume history and culture, apparel psychology and fashion marketing. The results derived from the research were: (1) the ratio of the research papers on the women's wear to the total papers published from 2001 to 2010 by the 6 subject journals was 380 to 6,815, i.e. 5.6% of the total papers; (2) journal of KSCT published the most women's wear research papers (N=149, 39.2%) and then the rest in order were the journal of CCA (N=69, 18.2%), the journal of KSC (N=68, 17.9%), the journal of KSFB (N=52, 13.7%), the journal of KHEA (N=39, 10.3%) and the journal of KSCI (N=3, 0.7%); (3) the proportions of the research themes for the women's wear study were in the order of the case study in marketing (N=135, 35.5%), body measurements and sizing systems in clothing construction (N=88, 23.2%), fashion design and aesthetics (N=83, 21.8%), pattern-making (N=63, 16.6%), and color study (N=11, 2.9%) and so on.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.179-197
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• 2020

This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.1
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• pp.65-87
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• 2016

The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

• Industry Promotion Research
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• v.8 no.4
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• pp.251-256
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• 2023

The purpose of this study is to find out how much research has been done on dream analysis based on S.Freud's psychoanalytic theory, and to suggest the necessity of dream research and follow-up research on dream research. The research method was based on analysis of domestic academic journals from 2019 to 2023, a study on S.Freud's dream analysis. Among them, the data were collected and organized through a keyword classification process from the Research Information Service (RISS) and the Korean Journal Citation Index (KCI). The classification categories were psychoanalysis, domestic academic journals, dream analysis, dream interpretation, dream analysis research trends, and dream research trends. In particular, psychoanalysis, dream analysis, domestic academic journals, and research trends were searched. The conclusion was drawn as follows. First, studies on research trends on dream analysis in domestic academic journals did not occupy a large proportion. Second, the ratio of research trends centered on dream analysis keywords was also significantly low. Third, the use and frequency of dream analysis was low. Fourth, research on Korean testing tools based on dream analysis is needed.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.1-9
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• 2022

Today, artificial intelligence (AI) has emerged as a key driver of national competitiveness, but it is also causing unexpected side effects in society. This study intends to examine major social issues by collecting papers on AI targeting KCI journals in the field of social science. Therefore, we conducted keyword analysis of papers from 2016 to 2020. As a result of the analysis, the keywords for 'robot' and 'education' appeared the most, and the top six clusters (issues) were derived through the keyword network. The main issues are as follows: the background and/or basic concept of AI, AI education, side effects of AI, legal issues of AI-based creations, intention to use AI products/services, and AI ethics. The results of this study can be used to expand the discussion on the social aspects of AI and to find policy directions at the national level.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.111-131
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• 2013

This study describes the meaning of and the formula for Kor-$h_T$, which is a modified index built on the tapered h-index by applying 'the ranking according to the number of citations of journals'. This study evaluated the de-duplication rate of index values of Kor-$h_T$ and analyzed the change in the correlation between the index values and evaluation elements using the Korea Citation Index data from 2008 to 2010. Kor-$h_T$ is compared with h-index, tapered h-index, and IF. As a result, Kor-$h_T$ appeared to be superior to other indexes on de-duplication rate. It is also shown that there is a very strong positive correlation between the evaluation elements, the number of citations and the number of articles of journals, and the index values of Kor-$h_T$.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.5
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• pp.1192-1204
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• 2013

This study aims to analyze the trend of study related to infant multicultural education, targeting the theses carried on Korean journals articles KCI journal and preliminary KCI journal from 2001 to 2012, and to provide analysis results as the basic data for execution of multicultural education. To achieve such goal of study, I analyzed the study trend of infant multicultural education studies carried in Korean journals per year, research subjects, research objects and research methods. As a result of this study, first, the number of studies related to infant multicultural education carried in Korean journals articles from 2001 to 2012 was a total of 190 pieces; for year, 27 pieces in 2008, 23 pieces in 2009, 40 pieces in 2010, 46 pieces in 2011 and 36 pieces in 2012, totaling 172 pieces corresponding to 90.5% of the entire thesis. This means that the number of study thesis began to increase substantially from 2008, meaning increased necessity of multicultural education in the field of child education. Second, as a result of analyzing the study trend per research subjects, research subjects was found in the order of 'beliefs recognition attitudes efficacy'(60 pieces), 'child development and adaptation'(48 pieces), 'programs and scale development'(28 pieces). Third, as a result of analyzing the study trend per objects of research, research objects was found in the order of 'teacher'(75 pieces), 'child'(67 pieces), 'literature'(43 pieces). And lastly, as a result of analyzing the study trend per research methods, research methods was found in the order of 'quantitative research'(112 pieces), 'literature research'(57 pieces), 'qualitative research'(31 pieces).