• The Journal of the Korea Contents Association
• /
• v.20 no.12
• /
• pp.241-249
• /
• 2020

The citation information of academic resources contains the knowledge flow from previous research, so it is possible to connect fragmented research in relational aspects. The citation information can grasp the overall flow of research, so it can promote convergence research such as developing existing research or deriving related fields. Therefore, in this study, the citation information of academic literature, which was previously provided at the level of simple disclosure, was reconstructed based on the citation relationship. Through this, backward and forward citation analysis were conducted based on time series, and the research flow was analyzed by setting the citation stage. Finally, we developed an academic information service that visualizes the main research contents of backward and forward citation based on time series. This accesses academic resources through the meaning contained in the citation information.

• Journal of Technology Innovation
• /
• v.27 no.4
• /
• pp.1-19
• /
• 2019

This study presents a new method to evaluate patents by public R&D program using patent citation network analysis. I used forward citation, degree centrality, betweenness centrality and page rank as the dependent variables which represents the quality of patents. I used primary independent variable as a dummy of public R&D program and controlled patents characteristics, applicant characteristics, technological characteristics and year effect. The empirical result shows that the patents of public R&D program is superior to other patents in regard to the number of forward citation, the degree centrality, the betweenness centrality and the page rank. This empirical result implies that patents of public R&D program directly and effectively connects technologies. Also patents from public R&D program connects important technologies.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.8
• /
• pp.5565-5570
• /
• 2015

Implicit citation sentence recognition is to locate citation sentences which lacks explicit citation markers, from articles' full-text. State-of-the-art approaches exploit word ngrams, clue words, researcher's surnames, mentions of previous methods, and distance relative to nearest explicit citation sentences, etc., reaching over 50% performance. However, most previous works have been conducted on English. As for Korean, a rule-based method using positive/negative clue patterns was reported to attain the performance of 42%, requiring further improvement. This study attempted to learn to recognize implicit citation sentences from Korean literatures' full-text using Korean lexical features. Different lexical feature units such as Eojeol, morpheme, and Eumjeol were evaluated to determine proper lexical features for Korean implicit citation sentence recognition. In addition, lexical features were combined with the position features representing backward/forward proximities to explicit citation sentences, improving the performance up to over 50%.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.3
• /
• pp.1127-1154
• /
• 2018

This paper aims to contribute to estimating the value of a patent by explaining the unobservable attributes of patent quality using observable patent citation indices. The paper first constructs patent citation data and identifies firm, university, and research institute among assignees, and then tries to explain attributes of patent quality using backward citation indices. Backward citation indices carrying information about technological sources which a given patent is based on turn out to be good predictors of forward citation indices carrying information about attributes of patent quality. Finding the functional relationships between attributes of patent quality and backward citations will lead to the improved estimation and prediction of patent value. It is found out that backward citation indices are strongly correlated the technological diversity of a patent. The paper also suggests that with whom an organization chooses to collaborate affects the attributes of patent quality.

• Asian Journal of Innovation and Policy
• /
• v.6 no.1
• /
• pp.85-93
• /
• 2017

This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

• Journal of Information Management
• /
• v.38 no.4
• /
• pp.1-21
• /
• 2007

Patent data have both properties of technological and industrial information. They satisfy explicit requirements for originality, technological validity, and commercial value. They comprise all fields of innovation for a long period of time. They show their own qualitative importance by forward citation of them. In this paper, we attempt to establish and apply an analytical model and process based on informetric approach using patent information in order to predict emerging technologies which have the possibility of industrial development in the future.

• KDI Journal of Economic Policy
• /
• v.32 no.4
• /
• pp.115-151
• /
• 2010

Recently Korean universities show very rapid increases in both patents and R&D (research and development) expenditures. During the period from 1970 to 2008, university R&D spending has on the average increased 15.3% annually. Along with steady increases in R&D spending, university's research outputs have also continuously increased. In 1990 Korea as a total published 1,613 SCI-level scientific papers and Korean universities applied 27 patents to Korea patent office. In 2008, Korea published more that 35,000 SCI papers and Korean universities applied about 7,300 patents. The growth of scientific articles had begun from the early 1990s whereas the growth of patent has ignited entering the 2000s. The paper tried to investigate university research through the window of patent. Patents lie between invention and innovation and represent the potential value of invention which will be realized at the marketplace. Since Korean patents do not contain citation information, the paper used US patents-NBER patent database-as the main data. The key empirical question is whether Korean university patents granted from USPTO are characteristically different from other Korean patents granted from USPTO. Previous studies on US and Europe show that corporate patents are more stylized in appropriablity of invention, whereas university patents basicness. In case of Korea, the paper confirmed the appropriability characteristic of corporate patents; but the Korean unversity patents are not distinguishable in terms of basicness. The paper estimated the citation frequency function-an empirical model which was firstly developed by Caballero and Jaffe (1993) and later articulated by Jaffe and Trajtenberg (1996, 2002). The model is specified mainly composed of two interacting parts-diffusion effect and obsolescence effect of new ideas or innovations. Estimation results show that differences in forward citations between university and corporate patents are not statistically significant, after controlling self-citation. Since forward citations represent the quality of patents, this estimation result implies that there are no statistically significant quality differences between university and corporate patents. Prior research results, based on the same model of citation frequency function, about US and some European cases show that, in terms of forward citations, university patents are generally superior to corporate patents -for the case of US- or, the former not inferior to the latter-for the case of most of Europe. It is argued that some important and significant policy changes caused the rapid rise of university patents in Korea. Policy changes include the revision of technology transfer act allowing the ownership of publicly-funded research results to researchers and the changes in faculty/professor evaluation which gives more credit to the number of patents. These policy changes have triggered the rapid growth of the number of university patents. The results of the empirical analysis in this paper indicated that Korea now needs to make further efforts to enhance the quality of university patents, not just to produce more numbers of patents.

• Physical Therapy Korea
• /
• v.30 no.4
• /
• pp.261-267
• /
• 2023

Forward head posture (FHP) is a musculoskeletal disorder that causes neck pain. Several exercise interventions have been used in South Korea to improve craniovertebral angle (CVA) and relieve neck pain. There has been no domestic literature review study over the past 5 years that has investigated trends and effects of exercise intervention methods for CVA with neck pain. This domestic literature review aimed to evaluate the trends and effects of exercise interventions on CVA and neck pain in persons with FHP. A review of domestic literature published in Korean or English language between 2018 and 2022 was performed. Literature search was conducted on Google Scholar and Korea Citation Index by using the following keywords: "exercise," "exercise therapy," "exercise program," "forward head posture," and "neck pain." Ten studies were included in this review. All of the studies showed positive improvements after intervention programs that included exercises. Notably, four of these studies demonstrated significant differences in results between the experimental and control groups. Among the 10 studies, nine measured visual analogue scale or numerical rating scale scores and reported significant reductions in pain following interventions, including exercise programs. Five of these studies showed significant differences in results between the experimental and control groups. Furthermore, six studies that used neck disability index exhibited a significant decrease in symptoms after implementing intervention programs that included exercise, and significant differences in results were found between the experimental and control groups. This domestic literature review provides consistent evidence to support the application of various exercise intervention programs to improve CVA and relieve neck pain from FHP. Further studies are warranted to review the effects of various exercise interventions on FHP reported not only in domestic but also in international literature.

• Journal of Distribution Science
• /
• v.14 no.4
• /
• pp.5-11
• /
• 2016

Purpose - The Education Ministry has plans to select top 10 percent academic journals among the domestic registration journals in NRF(National Research Foundation of Korea), and designate them as outstanding academic journals. To reflect this trend, KODISA has set its sights on paper publication rate and citation index with pushing forward globalism. First, this study will arrange the process of globalism and the current state of paper submission, and propose the direction of improvement in academic journals through understanding the characteristics of each major field. Research design, data, and methodology - KODISA has preceeded in examining and publishing research papers related to distribution field through indirectly or stimulating academic advancement. KODISA covers the whole fields in social science as well as in business administration and economics that associated with distribution field not limiting only within the range of distribution field. That is, the new subject that contributes to the progress in distribution field with original research can be a priority criteria in KODISA journal publication. Results - The major fields in papers published in KODISA can be categorized broadly as distribution field with economic and business administration point of view. Therefore, the distribution field with economic point of view includes the issues such as regulations, system, industry, market environment, distribution system, trade, and macroeconomics, etc. The business administration point of view in distribution includes distribution strategy, distribution organization, and distribution channel from the perspectives of the firm, etc. Conclusions - The aim of KODISA in 2020 is to be a global academic journal as SCI level of each journal in KODISA, JDS(Registration journal), IJIDB(Registration candidate), EAJBM(Registration candidate), JAFEB(Cabell's Registration journal). The KODISA journals have already settled as the largest academic society and journals of Korea in 2016 currently from humanities and social sciences area by the most gross in publication circulation, volumes, and types. Hereafter, KODISA will focus on the improvement for the objective indicators such as Impact Factor and Centrality index as qualitative growth as well as quantitative expansion. By doing so, KODISA will be a forum for developmental academic debate with attracting the world's greatest scholars' papers. Furthermore, they will be recognized journals and grow as the first-rate academic journals inside and outside of Korea.

• International Journal of Knowledge Content Development & Technology
• /
• v.10 no.4
• /
• pp.29-46
• /
• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.