Abstract—To explore the intellectual structure of image processing and dementia research in the last decade, this study identified the most important publications and the most influential scholars as well as the correlations among these scholar’s publications. In this study, bibliometric and social network analysis techniques are used to investigate the intellectual pillars of the image processing and dementia literature. By analyzing 217,931 citations of 3,310 articles published in SSCI journal in image processing and dementia area between 2011 and 2020, this study maps a knowledge network of image processing and dementia studies. The results of the mapping can help identify the research direction of image processing and dementia research and provide a valuable tool for researchers to access the literature in this area. Index Terms—Dementia, image processing, social network, Alzheimer's disease, magnetic resonance imaging. I. INTRODUCTION Image processing is an important research field, especially medical image processing is applied in the diagnosis and evaluation of brain diseases [1], [2]. Dementia syndromes are associated with reduced brain volume and can be understood by image processing techniques [3], [4]. The past decade has especially seen extensive research on image processing and dementia. Yet even though image processing and dementia has established itself as an academic discipline, its establishment has been a slow process because researchers in this area prefer to publish their best work in more established journals. Another major obstacle to the development of image processing and dementia lies in the subject’s unusually high degree of interaction with other disciplines. With limited resources contributing to the development of image processing and dementia, the cross-fertilization of ideas between scholars of image processing and dementia will be much more difficult to obtain. Consequently, while there is no doubt that there is a field of image processing and dementia, the question remains somehow unclear on what it is, how good its work is, and what are its prospects and needs for future development. The aim of this study is to provide image processing and dementia researchers with a unique map to better understand image processing and dementia related publications and to provide a systematic and objective mapping of different Manuscript received March 23, 2021; revised June 17, 2021. Jen-Hwa Kuo is with Department of Accounting Information, National Taipei University of Business, Taipei City 100025, Taiwan (e-mail: [email protected]). Yi-Tsun Ho and Hsing-Chau Tseng are with Institute of Business and Operations Management, Chang Jung Christian University, Tainan City 71101, Taiwan (e-mail: [email protected], [email protected]). Chen-Hsien Lin is with Department of Hotel & MICE Management, Overseas Chinese University, Taiwan. themes and concepts in the development of image processing and dementia field. This study also attempts to help identify the linkage among different publications and confirm their status and positions in their contribution to the development of image processing and dementia field. The principal methods used are bibliometrics analysis, social network analysis, plus a factor analysis which is performed to identify the invisible network of knowledge generation underlying the image processing and dementia literature. II. STUDIES OF ACADEMIC LITERATURE There are several techniques that can be used to study a body of literature. Most frequent is the simple literature review where a highly subjective approach is used to structure the earlier work. Objective and quantitative techniques have recently become popular with more databases available online for use. These techniques adopt author citations, and co-citations, to examine the invisible knowledge network in the communication process by means of written and published works of a given field. These techniques are attractive because they are objective and unobtrusive [5]. Several studies have used the bibliometric techniques to study the literature of management research. For example, Du et al., [6] explored the intellectual structure and interdisciplinary neuroimaging diagnosis for cerebral infarction in its early stage of development, using principle component analysis on journal, institution, and country frequency matrix; Gong, Heo, and Lee [7] identified the neuroimaging in Psychiatric disorders field by using bibliometric analysis; Song, et al., [8] identifying the landscape of Alzheimer's disease research with network and content analysis. Theander and Bustafson [9] explored a quantitative, bibliometric study of the literature on dementia, based on Medline, covering 36 years (1974-2009). Garrett et al. [10] explored a correlation between national institutes of health funding and bibliometrics in neurosurgery. To the best of our knowledge, no similar study has been conducted on the current research of image processing and dementia. Therefore, this study aims to fill a gap in image processing and dementia literature by applying citation and co-citation analysis to a representative sample of recent research on image processing and dementia collected by the Science Citation Index and Social Sciences Citation Index. III. METHODOLOGY The citation data used in this study included journal articles, authors, publication outlets, publication dates, and cited references. Based on the objective of this study, the Mapping the Intellectual Structure of Image Processing and Dementia Jen-Hwa Kuo, Yi-Tsun Ho, Hsing-Chau Tseng, and Chen-Hsien Lin International Journal of Computer Theory and Engineering, Vol. 13, No. 4, November 2021 129 DOI: 10.7763/IJCTE.2021.V13.1301
5
Embed
Mapping the Intellectual Structure of Image Processing and ...
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Abstract—To explore the intellectual structure of image
processing and dementia research in the last decade, this study
identified the most important publications and the most
influential scholars as well as the correlations among these
scholar’s publications. In this study, bibliometric and social
network analysis techniques are used to investigate the
intellectual pillars of the image processing and dementia
literature. By analyzing 217,931 citations of 3,310 articles
published in SSCI journal in image processing and dementia
area between 2011 and 2020, this study maps a knowledge
network of image processing and dementia studies. The results
of the mapping can help identify the research direction of image
processing and dementia research and provide a valuable tool
for researchers to access the literature in this area.
Index Terms—Dementia, image processing, social network,
Alzheimer's disease, magnetic resonance imaging.
I. INTRODUCTION
Image processing is an important research field, especially
medical image processing is applied in the diagnosis and
evaluation of brain diseases [1], [2]. Dementia syndromes are
associated with reduced brain volume and can be understood
by image processing techniques [3], [4]. The past decade has
especially seen extensive research on image processing and
dementia. Yet even though image processing and dementia
has established itself as an academic discipline, its
establishment has been a slow process because researchers in
this area prefer to publish their best work in more established
journals. Another major obstacle to the development of
image processing and dementia lies in the subject’s unusually
high degree of interaction with other disciplines.
With limited resources contributing to the development of
image processing and dementia, the cross-fertilization of
ideas between scholars of image processing and dementia
will be much more difficult to obtain.
Consequently, while there is no doubt that there is a field
of image processing and dementia, the question remains
somehow unclear on what it is, how good its work is, and
what are its prospects and needs for future development.
The aim of this study is to provide image processing and
dementia researchers with a unique map to better understand
image processing and dementia related publications and to
provide a systematic and objective mapping of different
Manuscript received March 23, 2021; revised June 17, 2021.
Jen-Hwa Kuo is with Department of Accounting Information, National
Taipei University of Business, Taipei City 100025, Taiwan (e-mail: