scholarly journals Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 441
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Belal Alsinglawi ◽  
Li-Fong Lin ◽  
Shuo-Chen Chien ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bibliometric Analysis ◽  
English Language ◽  
R Package ◽  
Research Area ◽  
Republic Of China ◽  
Comprehensive Picture ◽  
The Usa ◽  
The Republic ◽  
Academy Of Sciences

The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future.

scholarly journals Production Trends, Collaboration, and Main Topics of the Integrative and Complementary Oncology Research Area: A Bibliometric Analysis

2019 ◽  
Vol 18 ◽  
pp. 153473541984640 ◽  
Author(s):  
Jose A. Moral-Munoz ◽  
Lidia Carballo-Costa ◽  
Enrique Herrera-Viedma ◽  
Manuel J. Cobo
Keyword(s):  
Bibliometric Analysis ◽  
The United States ◽  
Research Area ◽  
Current Status ◽  
Future Research ◽  
Nf Kappa B ◽  
Republic Of China ◽  
The Past ◽  
Oncology Research ◽  
Complementary Oncology

Background: The prevalence of cancer has increased over time worldwide. Nevertheless, the number of deaths has been reduced during the past 2 decades. Thus, one-third of the cancer patients are users of complementary and alternative therapies, looking for other types of interventions. The main aim of the present study is to understand the current status of the research in integrative and complementary oncology. Three different aspects were analyzed: production trends, country collaboration, and leading research topics. Methods: The dataset was obtained from the documents indexed under the Integrative and Complementary Medicine category of the Web of Science database from 1976 to 2017. VOSviewer and SciMAT software were employed to perform the bibliometric analysis. Results: The Journal of Ethnopharmacology, China Medical University and the People’s Republic of China are the leading producers in the field. Regarding the collaboration, the United States and China present a close connection. The scientific community is focused on the following topics: apoptosis, breast cancer, oxidative stress, chemotherapy, and nuclear factor-Kappa-B (NF-Kappa-B). Conclusions: The present article shows potentially important information that allows understanding of the past, present, and future of research in integrative and complementary oncology. It is a useful evidence-based framework on which to base future research actions and academic directions.

System dynamics applications in performance measurement research

2020 ◽  
Vol 69 (7) ◽  
pp. 1541-1578 ◽  
Author(s):  
Olufunke Olufunmi Oladimeji ◽  
Heather Keathley-Herring ◽  
Jennifer A. Cross
Keyword(s):  
Literature Review ◽  
System Dynamics ◽  
Performance Measurement ◽  
Bibliometric Analysis ◽  
English Language ◽  
Early Stage ◽  
Research Area ◽  
Content Type ◽  
Stage Of Development ◽  
Current State

PurposeThis study investigates system dynamics (SD) applications in performance measurement (PM) research and practice. A bibliometric analysis was conducted to investigate the maturity of this research area and identify opportunities for development.Design/methodology/approachA systematic literature review (SLR) was conducted to provide a comprehensive and rigorous review of the existing literature. The search was conducted on 10 platforms identifying 97 publications, which were evaluated using bibliometric analysis.FindingsThe analysis revealed that applications of SD are most commonly used in the PM system design phase to model organisational performance. In addition, the bibliometric results showed a highly dispersed author set, with most studies using exploratory methods, suggesting that the research is in a relatively early stage of development. The results also showed that over 50 per cent of the causal models were not validated, emphasizing an important methodological gap in this research area.Research limitations/implicationsThis SLR is limited to indexed publications on 10 platforms, the search strategy was relatively precise and only available papers in English language were used for the literature review.Practical implicationsPM systems supported by SD can help managers understand and improve organisational behaviours by addressing dynamic complexities and relationship between variables. This study evaluates the maturity of this research area including information about the current development of this area and opportunities to build on existing knowledge.Originality/valueThis study identifies how SD approaches are applied to PM and highlights areas that require further research consideration. This paper is the first of two publications to result from this study and focuses on evaluating the current state of this research area.

scholarly journals Radiomics in Oncology: A 10-Year Bibliometric Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Haoran Ding ◽  
Chenzhou Wu ◽  
Nailin Liao ◽  
Qi Zhan ◽  
Weize Sun ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Intensity Modulated Radiotherapy ◽  
Segmentation Methods ◽  
Chinese Academy Of Sciences ◽  
Great Progress ◽  
The Usa ◽  
State Of Research ◽  
Number Of Publications ◽  
Academy Of Sciences

ObjectivesTo date, radiomics has been applied in oncology for over a decade and has shown great progress. We used a bibliometric analysis to analyze the publications of radiomics in oncology to clearly illustrate the current situation and future trends and encourage more researchers to participate in radiomics research in oncology.MethodsPublications for radiomics in oncology were downloaded from the Web of Science Core Collection (WoSCC). WoSCC data were collected, and CiteSpace was used for a bibliometric analysis of countries, institutions, journals, authors, keywords, and references pertaining to this field. The state of research and areas of focus were analyzed through burst detection.ResultsA total of 7,199 pieces of literature concerning radiomics in oncology were analyzed on CiteSpace. The number of publications has undergone rapid growth and continues to increase. The USA and Chinese Academy of Sciences are found to be the most prolific country and institution, respectively. In terms of journals and co-cited journals, Scientific Reports is ranked highest with respect to the number of publications, and Radiology is ranked highest among co-cited journals. Moreover, Jie Tian has published the most publications, and Phillipe Lambin is the most cited author. A paper published by Gillies et al. presents the highest citation counts. Artificial intelligence (AI), segmentation methods, and the use of radiomics for classification and diagnosis in oncology are major areas of focus in this field. Test-retest statistics, including reproducibility and statistical methods of radiomics research, the relation between genomics and radiomics, and applications of radiomics to sarcoma and intensity-modulated radiotherapy, are frontier areas of this field.ConclusionTo our knowledge, this is the first study to provide an overview of the literature related to radiomics in oncology and may inspire researchers from multiple disciplines to engage in radiomics-related research.

A Topic-Based Bibliometric Analysis of Two Decades of Research on the Application of Technology in Classroom Dialogue

2020 ◽  
Vol 58 (7) ◽  
pp. 1311-1341
Author(s):  
Tianyong Hao ◽  
Xieling Chen ◽  
Yu Song
Keyword(s):  
Bibliometric Analysis ◽  
Research Area ◽  
Research Literature ◽  
Comprehensive Overview ◽  
Information Communications Technology ◽  
Classroom Dialogue ◽  
Use Of Technology ◽  
The Usa ◽  
Teacher Professional ◽  
Technology In Classroom

With growing interest in technology and its application within education, an increasing volume of research literature concerning the utilisation of technology in classroom dialogue has become available. To provide a comprehensive overview of the research area, this paper reports the results of topic-based bibliometric analysis of relevant articles published from 1999 to 2018. Trends in articles and citations, productive institutions, countries/regions and journals are identified. Vital research interests in the research area and how have they evolved over time have been specified and visualised. Interest in the application of technology in classroom dialogue has grown significantly during the past 20 years and will continue to expand. The USA is the top productive country in the field, and countries/regions and institutions that display a large number of international collaborations are likely to be influential. Topic analysis highlights the existing prominence of research in the areas of Dialogue, Settings, Collaboration and Information communications technology, as well as increasing interest in Learning achievement and Teacher professional development. Findings obtained in this study could potentially help promote the use of technology in classroom dialogue, and provide suggestions for scholars and project investigators in (re)allocating research resources.

scholarly journals Gut Health in Veterinary Medicine: A Bibliometric Analysis of the Literature

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1997
Author(s):  
Elena Colombino ◽  
Daniel Prieto-Botella ◽  
Maria Teresa Capucchio
Keyword(s):  
Veterinary Medicine ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Inflammatory Diseases ◽  
R Package ◽  
Gut Health ◽  
Relevant Research ◽  
Main Research ◽  
The Usa ◽  
Number Of Publications

Gut health is a recent relevant research topic in veterinary medicine and it has been shown to be associated with better zootechnical performances and animal welfare. A bibliometric analysis was performed to explore publication trends, dynamics and possible knowledge gaps in this field in the last twenty years (2000–2020). The database Web of Science was searched and the results were analyzed by the R package Bibliometrix. A total of 1696 documents were retrieved in the evaluated period, showing a constant annual growth in the number of publications of 22.4%. These articles focused mainly on pigs (34.8%), poultry (chicken, duck, turkey and quail—33.9%) and aquaculture (fishes, crustaceans and frog—15.0%) while a scarce number was found on felines, cows, horses, rodents, goats and sheep. China was the most productive country (24.7%) followed by the USA (17.2%) and Canada (5.7%). Keyword’s analysis showed that the main research lines aimed to explore animal nutrition, prevention of inflammatory diseases and microbiota composition. This study shows a comprehensive bibliometric analysis of the evolution of veterinary gut health research that will help to drive future investigations on this topic.

scholarly journals The Fateful Voyage of Tanker “Tuapse”: Chronicle of Detention

2020 ◽  
Vol 19 (10) ◽  
pp. 59-73
Author(s):  
Sergey Yu. Vradiy
Keyword(s):  
The United States ◽  
The Philippines ◽  
Republic Of China ◽  
Bill Of Lading ◽  
The Press ◽  
The Usa ◽  
The Republic ◽  
Cold War History ◽  
Oil Tanker ◽  
Port Of Kaohsiung

The capture on 23rd June 1954 of the Soviet oil tanker “Tuapse” by the Republic of China (ROC) Navy became one of the most dramatic episodes in Cold War history. The Soviet vessel heading from Odessa to Shanghai was transporting, as indicated in the Bill of Lading, lighting kerosene. In the neutral waters of the Luzon Strait, north of the Philippines, the tanker was shelled, detained, and the crew were arrested, then escorted to the port of Kaohsiung in the south of Taiwan. This event which was developing into an international sensation almost provoked an armed clash between the United States of America (USA) and the Union of Soviet Socialist Republics (USSR). The aggravated confrontation overflowed onto the pages of the press, concentrating in diplomatic debates at the United Nations (UN) meetings during which the accusation raised respectively against Taiwan of “violating freedom of navigation on the high seas,” and to the USA of aiding to piracy. The detention of the tanker “Tuapse” in 1954 became a pretext for fierce debates and conflicts between Taiwan and the USSR at the UN. Thirty years later, in the second half of the 1980s, the discussion about the consequences of this incident resumed the fragile political contacts between Taiwan and the USSR, which became a noticeable sign of a thaw in their relations, though no one had yet imagined at that time how far the process of rapprochement could go. Based on recently declassified documents from the archive of the ROC Ministry of Defense, especially the reports of Navy officers who performed the operation to their commanders, this paper reveals the chronology of how the interception of the “Tuapse” Soviet oil tanker was implemented.

scholarly journals EVOLUTION OF ARTIFICIAL INTELLIGENCE ON THE BACKGROUND OF THE PROGRESS IN COMPUTER SCIENCES AND ENGINEERING

2021 ◽  
Vol 7 (1) ◽  
pp. 73-77
Author(s):  
Maksym Staskiv
Keyword(s):  
Artificial Intelligence ◽  
English Language ◽  
Personal Rights ◽  
University Of Munich ◽  
History Of ◽  
Key Issues ◽  
Sphere Of Influence ◽  
Academy Of Sciences ◽  
Relationship Of ◽  
The Relationship

The review examines the content and main problems of the English-language monograph of the German scientist and philosopher, President of the European Academy of Sciences and Arts, founder of the Munich Center for Social Technologies (MCTS), Honorary Professor of the Technical University of Munich, Professor of Mathematics and Natural Sciences at the Univercity of Tübingen Klaus Mainzer. The author covers a range of issues related to the history of the formation and development of artificial intelligence, the reasons for society’s unwillingness to integrate machines into society, the relationship of artificial intelligence with human values, ethics and security, and what awaits humanity in the future. One of the key issues in the book is the relationship between artificial intelligence and the ethics of responsibility, as well as ensuring personal rights and freedoms while actively expanding the sphere of influence of artificial intelligence.

scholarly journals Modern Requirements of the Legal Support of Artificial Intelligence: a View from Russia

2019 ◽  
Vol 13 (2) ◽  
pp. 197-206 ◽  
Author(s):  
Victor Shestak ◽  
Aleksander Volevodz
Keyword(s):  
Artificial Intelligence ◽  
Criminal Liability ◽  
Legal Regulation ◽  
Federal Republic Of Germany ◽  
The European Union ◽  
Criminal Proceedings ◽  
Legal Personality ◽  
Legal Norms ◽  
The Usa ◽  
The Republic

At the present stage of the society’s development the artificial intelligence is quickly widening its possibilities. These changes raise the issue of applying norms, including international law norms, to solve problems connected with the essence and technical protocol of using artificial intelligence. The article is devoted to the problems of legal regulation of the creation and use of artificial intelligence and the development of the conceptual framework and the definition of artificial intelligence according to the widely recognized scientific theories; the analysis of doctrinal approaches to the understanding of the place of artificial intelligence in legal relations; the evidence that giving artificial intelligence the status of a person is not legally grounded; the critical analysis of the ideas put forward by some American researchers that artificial intelligence should comply with the whole set of laws currently used for its human producer and operator. The authors study the legislation on the legal regulation of relations between the human and artificial intelligence in such countries as the Republic of Korea, the USA, Japan, the People’s Republic of China, the Republic of Estonia, the Federal Republic of Germany and the Russian Federation, as well as the European Union. They present various approaches to the classification of artificial intelligence’s features. The authors also examine the problem of defining the legal personality of an «electronic person»; analyze the necessity of making the owner liable for the compensation of moral and material damage inflicted by the «electronic person». The article also discusses key problems of enforcing the legal norms regulating intellectual property and copyright, criminal liability and participation in criminal proceedings within the framework of using artificial intelligence. The authors analyze key risks and uncertainties connected with artificial intelligence and crucial for improving relevant legislation. They work out suggestions for the future discussion of the following issues: the applications of artificial intelligence at the contemporary stage; development prospects in this sector; legally relevant problems researched of this sphere and the problems connected with the use of the existing and the development of new autonomous intelligence systems; the development of new strategies and legal norms to bridge the gaps in the legal regulation of using artificial intelligence, including using it as a participant in criminal proceedings; creation of the concept of liability in the sphere of using artificial intelligence, including the criminal one.

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