scholarly journals Research Status of Soil Organic Remediation - Visual Analysis of Literature Based on Web of Science Database

2021 ◽  
Vol 769 (2) ◽  
pp. 022003
Author(s):  
Chenxi Yang ◽  
Jian Wang
Keyword(s):  
Visual Analysis ◽  
Web Of Science ◽  
Research Status

scholarly journals Trends in chronic hepatitis B treatment-related research from 1973 to 2018: a bibliometric and visual analysis

2019 ◽  
Vol 48 (4) ◽  
pp. 030006051989323
Author(s):  
Guiyu Li ◽  
Jiyong Lin ◽  
Cen Jiang ◽  
Quansheng Feng ◽  
Li Wen
Keyword(s):  
Drug Resistance ◽  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Antiviral Therapy ◽  
Chronic Hepatitis B ◽  
Visual Analysis ◽  
Web Of Science ◽  
Research Activity ◽  
The Past ◽  
Hepatitis B Treatment

Objective Chronic hepatitis B (CHB) is a worldwide disease and the most common cause of liver cancer. This study aimed to identify specific areas of research activity concerning CHB treatment between 1973 and 2018 and to aid in identifying new areas for future development. Methods The literature was searched from the GoPubMed and Web of Science databases using terms related to CHB treatment, analyzed with bibliometric methods and visualized using VOSviewer. Results A total of 9486 and 5883 papers were collected from PubMed and Web of science, respectively. The studies focused on two clusters of topics: antiviral therapy for CHB and progressive diseases, and drug resistance. Studies related to antiviral drugs concentrated on lamivudine (n = 788), entecavir (n = 390), and adefovir dipivoxil (n = 376). Studies addressing conditions developing from CHB highlighted hepatocellular carcinoma (n = 403) and cirrhosis (n = 223). China (n = 1978) contributed the most publications. The 10 most quantitatively prolific organizations were in France. All 20 of the most cited papers investigated antiviral treatments for CHB or CHB-associated cirrhosis. Conclusions Research on CHB treatment over the past 45 years has concentrated on antiviral therapy, CHB-associated progressive conditions, drug resistance and immunization. Although work on CHB treatment has made considerable progress, new approaches must be explored.

scholarly journals A Visual Analysis of Frontiers and Dynamic Tendencies for Humanitarian Logistics

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Shaochuan Fu ◽  
Xuehua Ji ◽  
Changxiang Lu ◽  
Shucheng Fan
Keyword(s):  
Visual Analysis ◽  
Web Of Science ◽  
Close Contact ◽  
Humanitarian Logistics ◽  
Knowledge Map ◽  
Research Directions ◽  
Research Teams ◽  
The Usa ◽  
Basic Characteristics ◽  
And Control

Under the background of regular epidemic prevention and control, the frontiers and prospects of humanitarian logistics (HL) have substantial value in enhancing emergency capacity. Taking the relevant articles collected in Web of Science and Scopus databases as the research object, this study discusses the basic characteristics, hot topics, and the potential directions of HL, using the bibliometric analysis and statistical analysis methods. Results show that the number of articles presents an overall increase with fluctuation. The major driving force of HL research is from the USA and China. Although a certain cooperation size among authors has been formed, close contact among research teams from different institutions in different countries is lacking. In addition, the four main topics of HL are highlighted through the “co-occurrence” analysis of keywords by VOSviewer. Further research directions and suggestions can be identified under the analysis of each topic and the knowledge map of CiteSpace. It is expected that results will provide a theoretical reference to scholars when identifying innovative ideas in this field.

scholarly journals A Scientometric Analysis of Worldwide Intercropping Research Based on Web of Science Database between 1992 and 2020

2021 ◽  
Vol 13 (5) ◽  
pp. 2430
Author(s):  
Wen Lv ◽  
Xining Zhao ◽  
Pute Wu ◽  
Jialong Lv ◽  
Hailong He
Keyword(s):  
Web Of Science ◽  
Agroforestry Systems ◽  
Future Research ◽  
Scientometric Analysis ◽  
Main Research ◽  
Research Status ◽  
The Past ◽  
The Usa ◽  
Number Of Citations ◽  
India And China

Intercropping has been practiced worldwide in both traditional and sustainable agriculture to feed the growing population. This study aims to analyze the research status and evolution of intercropping, to identify the influential authors, research centers, and articles, and to reveal the main research topics between 1992 and 2020 based on the Web of Science Core Collection database. The results show that the volume of publications in this field has increased rapidly over the past three decades. The analysis identifies the top three authors (i.e., Meine Van Noordwijk, Wenyu Yang, and Teja Tscharntke), top three contributing organizations (i.e., the World Agroforestry Center (ICRAF), the Chinese Academy of Science, and the INRA), and three most productive countries (i.e., the USA, India, and China). Co-occurrence analysis demonstrates that studies on intercropping can be divided into four clusters as centered by keywords of intercropping/maize, biodiversity/conservation, agroforestry, and carbon, respectively. Lal 2004 is the most influential study with the greatest number of citations and Agroforestry Systems is the most utilized journal. Perspectives on future studies were also given. This study helps researchers to clarify the current research status in the field of intercropping and put forward its future research.

scholarly journals Bibliometrics Analysis of the Research Status and Trends of the Association Between Depression and Insulin From 2010 to 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaohan Zou ◽  
Yuan Sun
Keyword(s):  
Insulin Resistance ◽  
Visual Analysis ◽  
The United States ◽  
Research Area ◽  
Research Trends ◽  
Mental Illnesses ◽  
Field Analysis ◽  
Future Research ◽  
Research Status ◽  
New Research

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.

scholarly journals Analysis of domestic and foreign research status of agricultural pollution control based on VOSviewer

2020 ◽  
Vol 214 ◽  
pp. 03026
Author(s):  
Zhang Xin ◽  
Zhao Keyu ◽  
Peng Lin
Keyword(s):  
Pollution Control ◽  
Prevention And Control ◽  
Visual Analysis ◽  
Research Work ◽  
Pollution Prevention ◽  
The United States ◽  
Agricultural Pollution ◽  
Research Status ◽  
Pollution Prevention And Control ◽  
And Control

Visual analysis of the field of agricultural pollution prevention and control will help researchers to fully understand the research status at home and abroad, and better fit the current situation for further research. Mothod: Web of Science database was used to retrieve 2,214 literatures related to agricultural pollution prevention and control from 2000 to 2018 as data sources, and VOSviewer software was used for visual analysis. The results showed that the research heat of agricultural pollution control showed a good upward trend; Since 2010, China’s rapid growth in the volume of publications has ranked first, while the United States has remained stable for a long time, ranking second; Chinese institutions hold eight of the top 10 spots, with the Chinese academy of sciences at the absolute center of the field; In the research hotspot, it is divided into three clusters.1# In the field of agricultural pollution prevention and control, we have the ability to effectively control nitrogen, quality and phosphorus; China has made in-depth research on sediments, heavy metals and agricultural soils.3# Indian researchers have paid considerable attention to the prevention and control of surface water, drainage basins and groundwater pollution, and carried out in-depth research work for this purpose.

scholarly journals News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ningfeng Sun ◽  
Chengye Du
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Text Classification ◽  
Visual Analysis ◽  
Online News ◽  
Network News ◽  
Classification Model ◽  
Systematic Research ◽  
Research Status ◽  
Development Context

This paper uses the database as the data source, using bibliometrics and visual analysis methods, to statistically analyze the relevant documents published in the field of text classification in the past ten years, to clarify the development context and research status of the text classification field, and to predict the research in the field of text classification priorities and research frontiers. Based on the in-depth study of the background, research status, related theories, and developments of online news text classification, this article analyzes the annual publication trend, subject distribution, journal distribution, institution distribution, author distribution, highly cited literature analysis, and research hotspots. Forefront and other aspects clarify the development context and research status of the text classification field and provide a theoretical reference for the further development of the text classification field. Then, on the basis of systematic research on text classification, deep learning, and news text classification theories, a deep learning-based network news text classification model is constructed, and the function of each module is introduced in detail, which will help the future news text classification of application and improvement provide theoretical basis. On the basis of the predecessors, this article separately studied and improved the neural network model based on the convolutional neural network, cyclic neural network, and attention mechanism and merged the three models into one model, which can obtain local associated features and contextual features and highlight the role of keywords. Finally, experiments are used to verify the effectiveness of the model proposed in this paper and compared with traditional text classification to prove the superiority of the network news text classification based on deep learning proposed in this paper. This article aims to study the internal connection between news comments and the number of votes received by news comments, and through the proposed model, the number of votes for news comments can be predicted.

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