• International conference on construction engineering and project management
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• 2017.10a
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• pp.24-31
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• 2017

As the concept of sustainability becomes more and more popular, a large amount of literature have been recorded recently on intelligent green building and smart city (IGB&SC). It is therefore needed to systematically analyse the existing knowledge structure as well as the future new development of this domain through the identification of the thematic trends, landmark articles, typical keywords together with co-operative researchers. In this paper, Citespace software package is applied to analyse the citation networks and other relevant data of the past eleven years (from 2006 to 2016) collected from Web of Science (WOS). Through this, a series of professional document analysis are conducted, including the production of core authors, the influence made by the most cited authors, keywords extraction and timezone analysis, hot topics of research, highly cited papers and trends with regard to co-citation analysis, etc. As a result, the development track of the IGB&SC domains is revealed and visualized and the following results reached: (i) in the research area of IGB&SC, the most productive researcher is Winters JV and Caragliu A is most influential on the other hand; (ii) different focuses of IGB&SC research have been emerged continually from 2006 to 2016 e.g. smart growth, sustainability, smart city, big data, etc.; (iii) Hollands's work is identified with the most citations and the emerging trends, as revealed from the bursts analysis in document co-citations, can be concluded as smart growth, the assessment of intelligent green building and smart city.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.23 no.3
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• pp.169-176
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• 2013

Objectives: The aim of this study is to critically review the health effects of not only direct exposure to biocide, but also indirect exposure to by-product hazardous agents generated through the use of biocide in metalworking operations. Methods: An extensive literature review was conducted of studies reporting on respiratory disease cases, particularly hypersensitivity pneumonitis (HP), in environments using water-soluble metalworking fluids (MWFs). Keyword search terms included 'metalworking fluids', 'machining fluids', 'metalworking operation' 'machining operation' and 'biocide', which were also used in combination. Additional articles were identified in references cited in the articles reviewed. Results: Several of the field, epidemiological and experimental studies reviewed assumed that the symptoms and signs typical of HP developed in machinists who handled water-soluble MWF could be caused by inhalation exposure to nontuberculous mycobacteria (NTM). Most NTM are known to be not only resistant to both biocide and disinfectant, but also to have acid-fast cell walls that are highly antigenic. The presence or persistence of the Mycobacterium species, referred to as NTM, in metalworking fluid-using operations may be caused by NTM contamination in either the natural water or tap water that is used to dilute the base oil and additives for water-soluble MWFs. This hypothesis that NTM contamination in water-soluble MWFs is a causative agent of HP has high biologic plausibility, such as antigenic property, hydrophobicity and small diameter (< 5 um). Conclusions: Aerosolized mycobacteria colonized from MWF are likely to be causing the HP. Inhalation exposure to mycobacteria should be considered as a possible cause for the development of HP.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.193-204
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• 2012

The characteristics of citation and centrality measures in citation networks can be identified using multiple linear regression analyses. In this study, we examine the relationships between bibliometric indices and centrality measures in an article-level co-citation network to determine whether the linear model is the best fitting model and to suggest the necessity of data transformation in the analysis. 703 highly cited articles in Physics published in 2004 were sampled, and four indicators were developed as variables in this study: citation counts, degree centrality, closeness centrality, and betweenness centrality in the co-citation network. As a result, the relationship pattern between citation counts and degree centrality in a co-citation network fits a non-linear rather than linear model. Also, the relationship between degree and closeness centrality measures, or that between degree and betweenness centrality measures, can be better explained by non-linear models than by a linear model. It may be controversial, however, to choose non-linear models as the best-fitting for the relationship between closeness and betweenness centrality measures, as this result implies that data transformation may be a necessary step for inferential statistics.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.119-135
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• 2017

Information behavior is an important area of research in library and information science (LIS) that has evolved over the last 75 years. The aim of this study is to investigate the recent trends of information behavior research by providing insights into emerging topical areas within information behavior. To conduct this study, the bibliographic data from Scopus was used, and the trends of information behavior were traced by using variations of key terms used in information behavior research, such as "information behavior", "information seeking behavior", and "information needs." In addition, the trends were analyzed in terms of content words in the title, highly cited journal articles, disciplinary categories, and author keywords. Information behavior research has its roots in LIS, but the findings of the study reveal that information behavior has expanded to other disciplines by intersecting a variety of topical areas. In particular, this study showed that information behavior in the health/medicine domain has become a predominant emerging topical area of research. In order to enhance our understanding of complex human behavior, future research should focus more on interdisciplinary aspects by measuring the scope of information behavior.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.203-232
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• 2022

Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

• Radiation Oncology Journal
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• v.24 no.4
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• pp.309-316
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• 2006

$\underline{Purpose}$: To analyze the recent citation trend and to find a way to improve impact factor (IF) of the Journal of Korean Therapeutic Radiology and Oncology (JKSTRO) by analysis of Korean Medical Citation Index (KoMCI) citation data of JKSTRO and comparison with that of mean citation data of all journals enlisted on KoMCI (KoMCI journals) during 2000-2005. $\underline{Materials\;and\;Methods}$: All citation data of entire journals enlisted on KoMCI and JKSTRO from 2000 to 2005 were obtained from KoMCI. The trend of total and annual number of published articles and reference citations, total citations and self-citations per paper, IF and impact factor excluding self-citations (ZIF) were described and compared on both KoMCI journals and JKSTRO. $\underline{Results}$: Annual number of published articles was decreased for 6 years on both KoMCI journals and JKSTRO (32% and 38% reduction rate). The number of Korean journal references per article is 1.6 papers on JKSTRO comparing to 2.0 papers on KoMCI journals. The percentage of Korean references/total references increased from 5.0% in 2000 to 7.7% in 2005 on JKSTRO and from 8.5% in 2000 to 10.1% on KoMCI journals. The number of total citations received/paper on JKSTRO (average 1.333) is smaller than that of KoMCI journals (average 1.694), there was an increased rate of 67% in 2005 comparing to 2000. The percentage of self-citations/total citations (average 72%) on JKSTRO is slightly higher than that of KoMCI journals (average 61%). IF of JKSTRO was gradually improved and 0.144, 0.125, 0.088, 0.107, 0.187, and 0.203 in 2000-2005 respectively. However, ZIF of JKSTRO is steadily decreased from 0.038 in 2000 to 0.013 in 2005 except 0.044 in 2004. $\underline{Conclusion}$: IF of JKSTRO was slightly improved but had some innate problem of smaller number of citations received. To make JKSTRO as a highly cited journal, the awareness of academic status of JKSTRO and active participation of every member of JKSTRO including encouraging self-citations of papers published recent 2 years and submission of English written papers, and active academic cooperation with related academic societies.