• Economic Analysis
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• v.25 no.4
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• pp.25-57
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• 2019

This paper studies localization effects of knowledge spillovers in Korea using U.S. patents granted over the period 1996-2015. The "sample-matching" analysis initiated by Jaffe, Trajtenberg, and Henderson (1993) is adopted. We do not find evidence of positive localization effects in Korea. In particular, controlling for the existing geographic distribution of knowledge production, the frequency of domestic citations of Korean patents is no more than the citation frequency from overseas, and the difference is decreasing within the sample period. We also examine localization effects across regions and industries, and compare Korea with Taiwan and Japan.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.287-296
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• 2024

Artificial intelligence (AI), the Internet of Things (IoT), and Big Data are playing important roles in improving or upgrading energy efficiency. Furthermore, their roles in energy efficiency are expected to become more and more essential. This study conducted a bibliometric comparative analysis on the features in the articles on the AI, the IoT, and the Big Data in energy efficiency by using the Web of Science database and compared the features in their trends in article publications, citations, countries, research areas, journals, and funding agencies from 2012 to 2022. This study attempted to make significant contributions by shedding new light on the following features. Among the AI, the IoT, and the Big Data in energy efficiency, the most articles were published and the most article citations were received in the AI in energy efficiency. China was found out to be the most leading country. Engineering and computer science were revealed to be the first research area. IEEE Access and IEEE Internet of Things were ranked with first journal. National Natural Science Foundation of China was the first research funding agency concerning the articles published in the AI, the IoT, and the Big Data in energy efficiency from 2012 to 2022.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.203-208
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• 2024

The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.211-222
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• 2009

Electronic publishing has influenced, and in some ways changed, information seeking, reading patterns and citation behaviours. This study collected the Cited Half-Lives, the indicator implies the life-span of scholarly journals, from JCR Social Science edition the before and after of the prevalence of electronic journals, and observed if there are some changes in these two periods. The analysis results of eight disciplines show that the average Cited Half-Lives increased in 2007 than in 1994 for seven disciplines except the demography. Especially in the four disciplines of economics, education, finance and sociology, the average Cited Half-Lives increased significantly. This results show that the concentration, researchers cite more recent articles and concentrate their citations on fewer ones, is lightening and the dispersion of citations is actually increasing. With the online availability of articles and journals the old online materials can be often accessed, used and cited more frequently, the more growth potential of Cited Half-Lives are made in a digital environment. Further research needs to investigate if the phenomenon will become more obvious in various disciplines after a few years.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.1-15
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• 2020

This study analyzes the innovation performance of venture firms according to existence of venture capital investment, and according to type and ownership of venture capital. Venture firms are IPO firms that are registered on KOSDAQ between the year 2000 and 2016. They are categorized as corporate venture capital-backed firms (CVC) and independent venture capital-backed firms (IVC). Using patent data from KIPO (Korean Intellectual Property Office), we employ the number of patents and the citations per patent as the measurement of the innovation output. We find the positive association between the venture capital-backed firms and the number of patents before going public. Corporate venture capital-backed firms are positively associated with the number of patents before and after IPO. However, we do not find strong evidence between the number of citations and the existence of venture capital investment or the type of venture capital. Lastly, we provide an inverse U-shaped relationship between the innovation performance and venture capital's ownership. In other words, the innovation output, both the number of patents and the number of citations, gradually increases as the venture capitalist's ownership increases, but also shows a decrease pattern, suggesting that the venture capitalist's ownership does not only spur the innovation but also gives a negative effect on venture firm's innovation output such as excessive intervention. Overall, we reveal that the most important factor for the innovation performance is not the existence of venture capital investment or the type of venture capital, but the ownership of the venture capitalist.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.365-392
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• 2021

In order to assess the state of library and information science (LIS) research in Korea, the study analyzed bibliometric data of papers published in past 18 years in Korea Citation Index (KCI) and Social Science Citation Index (SSCI) journals. The analysis of study data, which consisted of 6,301 KCI journal papers with 26,474 citations and 86,727 SSCI journal papers with 1,196,961 citations from 2002 to 2020, involved comparison of research productivity and impact, collaboration trends, and key areas of research between domestic and international LIS scholars with normalizations by units of analysis for size differences. Even with size normalization, the study found a marked difference in citation patterns between domestic and international LIS research. Korean LIS authors were twice as productive as international LIS authors but a little over a half as impactful. The results also showed a much higher level of skewness in international research, where a fraction of top authors, institutions, and journals received a lion's share of citations. The trend of increasing co-authorship was much more pronounced among international publication, where the recent popularity of larger collaboration groups suggests multi-disciplinary and increasingly complex nature of modern LIS research in the world stage. The keyword analysis revealed a much more diverse subject area in international than domestic LIS research with a recent shift towards technology, such as big data, blockchain, and altmetrics. Keywords in SSCI journals also exhibited a less connection between popularity and impact than KCI keywords, where popular keywords did not necessarily correspond to impactful keywords.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1995.04a
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• pp.21-27
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• 1995

This document collects Center for Drug Evaluation and Research (CDER) and Center for Devices and Radiological Health (CDRH) guidance documents, citations to the primary literature, and other published and unpublished documents relevant to development and approval of drug/device combinations collected by the CDRH Division of Cardiovascular, Respiratory and Neurological Devices (DCRND). Since the Master Bibliography number represents an accession number, an alphabetical (by author) listing appears at the end of the document, Any citation marked with a, is on file in the DCRND offices, 340B, in the Piccard Building (HFZ-450), 1390 Piccard Avenue, Rockville, MD 20850.

• Proceedings of the Korean Society for Information Management Conference
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• 2018.08a
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• pp.139-142
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• 2018

학술지 인용 영향력 지수 JIF에서는 학술논문이 발행된 당해년도에 즉시 인용된 횟수가 포함되지 않는다는 한계가 있다. 특정 연도에 발표된 이후의 모든 인용을 포함하는 IMP 지수는 논문발표 당해년도의 인용을 포함하지만, 몇 년 이전의 논문에 대한 평가가 된다는 한계가 있다. 이를 극복하기 위한 새로운 방안을 제안하였다.

• Archives of Plastic Surgery
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• v.42 no.4
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• pp.411-418
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• 2015

Background The plastic surgery literature is vast, consisting of a plethora of diverse articles written by a myriad of illustrious authors. Despite this considerable archive of published material, it remains nebulous as to which precise papers have had the greatest impact on our specialty. The aim of this study was to identify the most cited papers in the plastic surgery literature and perform a citation analysis paying particular attention to the evidence levels of the clinical studies. Methods We identified the 50 most cited papers published in the 20 highest impact plastic surgery journals through the Web of Science. The articles were ranked in order of number of citations acquired and level of evidence assessed. Results The top 50 cited papers were published in six different journals between the years 1957 and 2007. Forty-two of the papers in the top 50 were considered as level IV or V evidence. No level I or II evidence was present in the top 50 list. The average level of evidence of the top 50 papers was 4.28. Conclusions In the plastic surgery literature, no positive correlation exists between a high number of citations and a high level of evidence. Anatomical reconstructive challenges tend to be the main focus of plastic surgery rather than pathologic diseases and consequently, papers with lower levels of evidence are relatively more valuable in plastic surgery than many other specialties.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.149-169
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• 2018

The purpose of this study is to provide an in-depth analysis on the research productivity and the research performance of the School of Biological Sciences' faculty at the S University by their co-authorships and further to identify any difference in the citedness by their co-authorships. For the years 2004-2013, a total of 1,135 publications, published by thirty-nine faculty members, were collected and their publication patterns were analyzed by co-authorships. For the years 2004-2016, the citations to the 1,135 publications were analyzed by co-authorships. Among the four co-authorship types, the total number of publications by the domestic and international co-authorships amounted to 832(73.3%), and the study also found a statistical difference in the citation performance, i.e., the average number of citations per paper by co-authorships (F =4.830, $p=0.003^{**}$).