• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.15-20
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• 2017

The purpose of this study is to present the intellectual structure of Assistive Technology Journal using co-word analysis of keywords. The articles of Assistive Technology Journal were collected from Web of Science citation database. 255 articles during the period from 2003 to 2015 were selected for the analysis. And 1,359 author keywords were extracted from the articles. In order to analyze the intellectual structure of Assistive Technology Journal, clustering analysis was conducted and 5 clusters were determined. Next, 5 clusters are presented in the map of multidimensional scaling. The results of this study are expected to assist in exploring the future directions of the researches on assistive technology.

• Journal of Information Science Theory and Practice
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• v.4 no.2
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• pp.53-65
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• 2016

The authors in this paper aim to identify the growth of literature on Intellectual Property Rights (IPRs). The research publications on IPRs were downloaded from the Scopus online citation database and the authors found that there were 1,513,138 records contributed globally over a period of 10 years from 2005 to 2014. The distribution of publications based on the year, country, and document type were studied. Relative growth rate (RGR) of the publications and doubling time (T_d) were calculated. Most productive organizations, source titles, and the productive authors on IPR research were studied. Most cited articles in the study area were identified. The results show that a number of publications under the subjects Medicine and Engineering were produced. The developed countries are very active in IPR research and producing publications. It is found that one institution which holds the sixth place among the top 10 most productive institutions belongs to Brazil, a developing country. Two developing countries such as China and India hold second and tenth positions respectively in the top 10 countries contributing literature on IPRs.

• Journal of Information Management
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• v.30 no.1
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• pp.11-28
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• 1999

STN(The Scientific & Technical Information Network) is a fee-based, comprehensive, online search service that provides. accurate, up-to-date information from over 200 scientific, technical, business, and patent databases. STN Easy(http: //stneasy.cas.org) provides point-and-click access to 59 selected key STN databases on the web, and it gives drawings and 3-dimensional chemical structures as well as citation-abstract informations. And information searchers are now able to access full-text documents from key scientific publishers and patent offices through STN Easy via the ChemPort(http://www.chemport.org) connection.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.813-818
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• 2008

Highly cited patents (HCPs) were selected from the patents published from 2002 to 2006. Citation frequencies of patents were obtained from the database provided by DWPI and were analyzed with respect to the IPC (International Patent Classifications). HCPs were selected as those who occupy top 1% of citations in the sets of patents given by IPCs and publication year. After selecting the HCPs their distribution over IPCs, Industrial Classifications and patent assignees' nationalities were analyzed. According to the result the US held 5,634 patents (66.9%) out of the total 8,416 patents occupying the the first rank in the distribution of patent assignees' nationalities. Japan and Germany ranked the 2nd and 3rd place holding 885 (10.5%) and 521 (6.2%) HCPs, respectively. On the other hand, Korea were positioned at 6th holding 151 (1.8%) HCPs. Among the industrial sectors classified by the Industrial Classifications provided by the Korean Intellectual Property Office, Manufacturing Sector occupied the 1st place with 7,692 HCPs (81.7%) and Waste Treatment Sector occupied the 2nd place with 578 HCPs (5.9%).

• Journal of Korean Medical Ki-Gong Academy
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• v.18 no.1
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• pp.52-112
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• 2018

Objective : The purpose of this study is to understand trends of "Gi-Gong" related studies from 1950 to 2016 and to help guide the research direction of Gigong study. Methods : The computerized Korean database was searched from 1950 to 2016. The search terms used were only Korean language terms such as '기, '기공', '도인', '명상', '생체에너지', '수련', '양생'. Results : 1. A total of 310,184 (155,565(1950~2007) + 13,705(2016) + 140,914(2008~2016)) studies were searched in this study. A total of 6,240 studies were finally selected as Gigong related studies. 2. In the results according to the Main Subject Categories(KCI;Korea Citation Index), the 'Humanities' was the largest with 2,686 studies and the 'Marine Agriculture, Fishery' was the least with 10 studies. 3. In the results according to the Middle Subject Categories(KCI;Korea Citation Index), the 'Philosophy' was the largest with 1,014(16.26%) studies. 4. A result of the Gigong Categories showed that the 'Philosophy of Gi' was the highest with 2,151(33.82%) not including duplication. 5. As a result of Research Method, the most frequently used method was 'Analysis Research' with 4,199(67.33%) studies. 6. In the author search, 'Kim Nak Pil' was searched 112 times and was the most.. 7. The journal that published the most relevant studies with Gigong was 『Conference Proceedings OF The Korean Society OF Jungshin Science』 (189), and the university that had the largest number of studies related to Gigong was 'Wonkwang University'(212). Conclusions : 1. The number of Gigong related studies had increased rapidly from the late 1990s to the early 2000s, and reached to a peak in 2007 and has been gradually increasing since 2008. 2. The three major academic fields of Gigong related studies are Thought Field, Korean Medicine Field, and Kinesic Field. 3. In the Gigong related studies, the best authority is 'Kim Nak-pil' and the most active academy is the 'Korean Society OF Jungshin Science'. 4. Although most categories of Gigong have been generally studied evenly, studies on External Gi Therapy and Taoist Sexual Practices are very insufficient.

• Journal of Korean Medical Science
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• v.33 no.48
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• pp.305.1-305.5
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• 2018

Background: In 1997 the Korean Association of Medical Journal Editors (KAMJE) instituted a program to evaluate member journals. Journals that passed the initial evaluation were indexed in the KoreaMed. Here, we report changes in measures of quality of the KAMJE member journals during the last 20 years. Methods: Quality measures used in the study comprised 3 assessment categories; self-assessment by journal editors, assessment of the journals by KAMJE reviewers, and by Korean health science librarians. Each used detailed criteria to score the journals on a scale of 0 to 5 or 6 in multiple dimensions. We compared scores at baseline evaluation and those after 7 years for 129 journals and compared improvements in journals indexed vs. not-indexed by the Web of Science (Science Citation Index Expanded; SCIE). Results: Among 251 KAMJE member journals at the end of 2015, 227 passed evaluation criteria and 129 (56%) had both baseline and 7-year follow-up assessment data. The journals showed improvement overall (increase in median [interquartile range; IQR] score from baseline, 0.47 [0.64]; 95% confidence interval [CI], 0.44-0.61; P < 0.001) and within each category (median [IQR] increase by editor's assessment, 0.17 [0.83]; 95% CI, 0.04-0.26; P = 0.007; by reviewer's, 0.45 [1.00]; 95% CI, 0.29-0.57; P < 0.001; by librarian's, 1.75 [1.08]; 95% CI, 1.77-2.18, P < 0.001). Before the foundation of KAMJE in 1996, there were only 5 Korean medical journals indexed in the MEDLINE and none in SCIE, but 24 journals in the MEDLINE and 34 journals in SCIE were indexed by 2016. Conclusion: The KAMJE journal evaluation program successfully contributes improving the quality of the member journals.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.359-373
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• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• Journal of the Korean Society for information Management
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• v.33 no.1
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• pp.53-84
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• 2016

This study clarified the intellectual structure of international collaboration in psychiatry based on analyzing networks in order to vitalize for international collaboration in psychiatry in South Korea. The data set was collected from Web of Science citation database during the period from 2009 to 2013. SU="psychiatry" search formulary (means field of psychiatric medical research) was used through advanced retrieval function and a total of 18,590 articles were selected among international collaborations. A total of 85 different keywords were selected from the 18,590 articles, and the results of analysis were as follows. First, this study examined 8 sub-subject areas focusing on disorders, and found that major subject areas could be divided into a total of 8 sub-subject areas. Second, this study examined 6 keywords that have a strong impact, and extend subject areas by promoting intermediation between other keywords Third, this study examined sub-subject areas by using the Knowledge Classification Scheme of the National Research Foundation of Korea through community analysis, and found a total of 15 clusters and a total of 12 sub-subject areas.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.85-97
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• 2021

In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.363-383
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• 2007

Global map of science, which is visualizing large scientific domains, can be used to visually analyze the structural relationships between major areas of science. This paper reviewed previous efforts on global science map, and then tried to making a science map of Korea with some new methods. There are several research groups on making global map of science including Dr. Small and Dr. Garfield of ISI (now Thompson Scientific), SCImago research group at the University of Granada, and Dr. Borner's InfoVis Lab at the Indiana University. They called their maps as science map or scientogram and called the activity of mapping science as scientography. Most of the previous works are based on citations between scientific articles. However citation database for Korean journal articles is still under construction. This research tried to make a Korean science map with the text in the proposals suggested for funding from Korean Research Foundation. Two kinds of method for generating networks of scientific fields are used. One is Pathfinder network (PFNet) alogorithm which has been used in several published bibliometric studies. The other is clustering-based network (CBnet) algorithm which was proposed recently as an alternative to PFNet. In order to take into account both views of the two algorithms, the resulting maps are combined to a final science map of Korea.