scholarly journals Visual Analysis of Carbon Emissions in Steel Industry Based on CiteSpace

Author(s):  
Desheng Xu ◽  
Ke Yang ◽  
Wei Duan

Abstract This paper analyzes the research characteristics and development context of carbon emissions in the steel industry, which will provide reference for future carbon emissions research and practice in the steel industry in China. Based on the “Web of Science Core Collection” (hereinafter referred to as SCIE) database, this paper used CiteSpace software to make a bibliometric analysis of the literatures related to carbon emissions in the steel industry from 1991 to 2020 in terms of countries and regions, major publishing institutions, high-yield authors, keywords and time zone views. The results show that: 1) Scholars and research institutions in different countries and regions form a close cooperation network according to their geographical location;2) The research forces with China, the United States, the United Kingdom and Japan as the core have provided key research support and contributed major research results to the carbon emission field of the steel industry;3) Climate change, production technology and future scenario analysis are the three main research topics;4) In the future research stage, the comprehensive application of various disciplines such as technical and economic analysis, scenario analysis and environmental climatology will become the forefront of the research on carbon emissions in the steel industry.

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Jianhua Dai ◽  
Jingxin Xu

Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.


Author(s):  
Yadong Ma

With the continuous development of high-tech industry, Moore’s law is close to the limit. People urgently need nano science and technology to trigger a new scientific and technological revolution to meet the needs of life, military and so on. Nanotechnology covers almost all industries and has made achievements in the industries such as medical, materials, manufacturing, and information technology. It has changed the production and life of human beings and subverted many industries. In recent years, more and more people have conducted data mining on nanotechnology research. By combing the literature, this paper summarizes the core authors, keyword changes, important authors and emergent words of the existing literature. Contributing to analyzing the research status of this field and revealing research hotspots in this field. It is of great significance for scholars to sort out the development process of nano field and predict the future development trend. Using CitesSpace bibliometric analysis software, 44002 pieces of literature about nanotechnology in SCI and SSCI journals in the core collection of the Web of Science database were analyzed in this paper. The results indicated that countries such as the United States, Germany, China, and Japan have issued more articles; However, the centrality of articles published in European countries such as the UK, Germany, and France was relatively strong; High-yield units mainly included Chinese Acad Sci and Russian Acad Sci; The main research scholars were Wei Wang, Peixuan Guo, Thomas J Webster, Hao Yan; Research emergent words primarily included polymer, particle, dynamics, mechanical properties and silver nanoparticle. On this basis, countermeasure suggestions and prospects are proposed.


2021 ◽  
pp. 102986492110055
Author(s):  
Ee Ran How ◽  
Leonard Tan ◽  
Peter Miksza

We employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method to systematically review research on music practice from 1928 until June 2020 and identified a total of 3,102 records using our inclusion criteria, of which a total of 296 were eventually selected for the final analysis. We tabulated percentages and frequencies of (a) publications in ten-year periods, (b) type of publications, (c) sampling by geographical location, (d) methodologies used, (e) the top tenth percentile of the most highly cited research, and (f) topics covered. Our analyses reveal that particularly strong growth occurred in the literature between 2000 and 2020. In the literature we retrieved, the most commonly sampled research participants were those in the United States, followed by the United Kingdom and Australia. Quantitative research designs were most prevalent, accounting for two-thirds of all studies reviewed (66.2%), with questionnaires and recordings being the most common methods of data collection. Non-empirical papers (17.5%) as well as studies incorporating qualitative (13.5%) and mixed-methods designs (3.1%) were much less prevalent. Ericsson et al.’s (1993) seminal study of deliberate practice, Driskell et al.’s (1994) review of the research literature on mental practice, and Sloboda et al.’s (1996) study of young musicians were by far the most often cited. Overall, the most common topics addressed were deliberate practice, practice strategies, mental practice, the benefits of practice, metacognition, self-regulation, and self-efficacy, suggesting that music practice is a rich, multifaceted, and complex activity. In light of the findings, recommendations for practice and implications for future research are provided.


2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Na Li ◽  
Huifang Xu ◽  
Guoqin Huang

Based on the "Web of Science Core Collection" (SCIE database), this article used the visualization software CiteSpace to visualize and analyze the crop rotation fallow patterns in the past five years. It analyzed the countries, institutions, keywords and hot topics of related literature to explore their research characteristics and development, and to provide reference for crop rotation fallow research and practice. The research shows that: 1) developed countries are the main research force in the field of crop rotation and fallowing, and the connection between the research of each country and each institution is not close; 2) research hotspots can be mainly summarized as: crop growth and yield, greenhouse gas emissions and soil health analysis, and the research in this field is constantly refined, combining macro and micro; 3) In recent years, there is a big gap between China and foreign countries in the field of crop rotation and fallow research. It is necessary to strengthen the cooperation with research institutions in developed countries in Europe and the United States, and to carry out crossregional and interdisciplinary research cooperation to improve the quality of papers and scientific research level.


2011 ◽  
Vol 55-57 ◽  
pp. 1578-1583
Author(s):  
Bing Wu ◽  
Wen Xia Xu ◽  
Jun Ge

This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning trust analysis in social network community research. The result indicates that the number of literature productions on trust analysis in social network community is still growing. The main research development country is the United States, and from the analysis of the distribution of language, English is the most popular language. Moreover the research focuses on are mainly empirical research, computational model and recommendation system, we analyze these typical references in detail, also limitations and future research.


2011 ◽  
Vol 474-476 ◽  
pp. 1007-1011
Author(s):  
Bing Wu ◽  
Jun Ge ◽  
Wen Xia Xu

This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning social network analysis in knowledge management research. The result indicates that the number of related literature is still growing especially in recent two years. The main research development country is the United States, then England and German, and from the analysis of the subject area, Information Science & Library Science is the most popular subject. Concerning source title, Knowledge Management Research & Practice is in the priority. Moreover the research focuses on this topic are mainly in close relationship with knowledge network. Typical references were analyzed in detail, including limitations and future research.


2011 ◽  
Vol 474-476 ◽  
pp. 1002-1006
Author(s):  
Bing Wu ◽  
Jun Ge ◽  
Wen Xia Xu

This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning knowledge transfer research in virtual contexts. The result indicates that the number of literature productions on this topic is still growing in recent years. The main research development country is the United States. And from the analysis of the subject area, communication is the most popular subject, then engineering, multidisciplinary, and management. Concerning source title, group decision and negotiation is in the priority. Moreover the research focuses are mainly theory model and empirical research; these typical references are analyzed in detail, including limitations and future research in this field.


Author(s):  
Ibrahim Haruna Shanono ◽  
Aisha Muhammad ◽  
Nor Rul Hasma Abdullah ◽  
Hamdan Daniyal ◽  
Meng Chung Tiong

AbstractOptimal reactive power dispatch (ORPD) plays a significant role in the control and smooth operation of the power system through the enhancement of the network’s reliability, security, and economic aspects. This paper presents a bibliometric and visual analysis of ORPD-related research articles extracted from the Web of Science (WoS) database from its inception to October 29, 2019. A total of 263 articles drawn from 166 journals, published between 1989 and 2019, were retrieved and analysed using Excel, HistCite, and VOSviewer visualisation software. The total number of citations for the 263 articles ranges from 0 to 297. The top three journals with the most significant number of ORPD publications were the International Journal of Electrical Power and Energy Systems, Applied Soft Computing, and two journals qualified for the third place, IEEE Transaction on Power Systems and IET Generation Transmission and Distribution. The most active researcher is Provas Kumar Roy, with nine (9) articles from Kalyani Government Engineering College. The most trending/cited researcher is Yi Jia Cao, with 129 Total Local Citation Scores from Hunan University, Changsha. In terms of contribution by countries, India, China, Iran, and the United States were the most significant contributors with 27.8%, 20.9%, 11.8%, and 8% of the total articles, respectively. The top 5 most frequently used substantive keywords to identify the trending topic and research direction were Particle Swarm Optimisation, Genetic Algorithm, Gravitational Search Algorithm, Linear Programming, Evolutional Algorithm, and Hybrid Algorithm. This study provides a detailed outline and reveals the future research directions for both experienced and novice ORPD researchers to identify research topics, questions, and collaboration partners.


2020 ◽  
pp. 120-129
Author(s):  
Oleh Pasko ◽  
◽  
Fuli Chen ◽  
Xuefeng Yao ◽  
◽  
...  

Corporate governance is not only one of the important issues of modern enterprise management, but also a hot topic in academic research. Bibliometric analysis of the current status of global corporate governance research in the past five years can help researchers and decision-makers grasp the main trends in corporate governance at present and in the future. The purpose of this research is to analyze the current status, hot spots and trends of corporate governance research in the past five years. Using the core collection of the WOS database as the data source, we searched English language journals related to corporate governance and obtained 607 literature search results. We utilize bibliometric methods and use CiteSpace to conduct statistical analysis and visual analysis. Through statistical literature publication year, country (region), author and literature citation situation, draw keyword co-occurrence map, research hotspot map, clustering map, burst hotspot map, systematically show the corporate governance research field in the past 5 years Basic information, research hotspots and development trends.The research results show that the number of corporate governance-related documents has continued to increase in the past five years. The United States, the United Kingdom, China, Spain, and Australia are the five countries with the largest number of corporate governance studies. The top 5 most cited authors are M.C. Jensen, A. Shleifer, E.F. Fama, R.La. Porta and P. Gompers. Among the top 10 most cited documents, the most cited are 178 words and the least cited 65 times. Research hotspots in corporate governance include agency theory, emerging market, capital structure, family firms, and real earnings management. Future research trends include merger, ownership concentration, equity and institution.


2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaohan Zou ◽  
Yuan Sun

Depression is one of the common mental illnesses. Because it is an important complication of diabetes, its association with changes in insulin levels and insulin resistance, the causative factors of diabetes, has attracted widespread attention. However, the association between insulin and depression has not been systematically studied through bibliometric and visual analysis. This study is based on 3131 publications of Web of Science to identify the current research status and research trends in this field. The results show that since 2010, the number of publications has been growing rapidly. Cooperative network analysis shows that the United States, the University of Toronto and Roger S Mcintyre are the most influential countries, research institutes and scholars, respectively. Insulin resistance, obesity, and metabolic syndrome are hot topics in this field. Analysis of keywords and references reveals that “sex hormones,” is new research area that constantly emerging. As far as we know, this study is the first one to visualize the association between depression and insulin and predict potential future research trends through bibliometric and visual analysis.


Sign in / Sign up

Export Citation Format

Share Document