A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture

Technification in agriculture has resulted in the inclusion of more efficient companies that have evolved into a more complex sector focused on production and quality. Artificial intelligence, one of the relevant areas of technology, is transforming the agriculture sector by reducing the consumption and use of resources. This research uses a bibliometric methodology and a fractional counting method of clustering to analyze the scientific literature on the topic, reviewing 2629 related documents recorded on the Web of Science and Scopus databases. The study found significant results regarding the most relevant and prolific authors (Hoogenboom), supporting research organizations (National Natural Science Foundation of China) and countries (U.S., China, India, or Iran). The identification of leaders in this field gives researchers new possibilities for new lines of research based on previous studies. An in-depth examination of authors’ keywords identified different clusters and trends linking Artificial Intelligence and green economy, sustainable development, climate change, and the environment.

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Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)

Sustainability ◽

10.3390/su11133716 ◽

2019 ◽

Vol 11 (13) ◽

pp. 3716 ◽

Cited By ~ 11

Author(s):

Yingling Shi ◽

Xinping Liu

Keyword(s):

Web Of Science ◽

Green Building ◽

Development Trend ◽

Status Quo ◽

Future Research ◽

Building Industry ◽

Scientometric Analysis ◽

The Past ◽

Evolution Pattern ◽

The Status

Since the 21st century, the concept of green building has been gradually popularized and implemented in more countries, which has become a popular direction in the area of sustainability in the building industry. Over the past few decades, many scholars and experts have done extensive research on green building. The purpose of this paper is to systematically analyze and visualize the status quo of green building. Therefore, based on Web of Science (WoS), this paper analyzed the existing knowledge system of green building using CiteSpace, identified keywords related to green building and their frequency of occurrence using the function of keyword co-occurrence analysis, recognized five clusters using the function of cluster analysis, and explored the knowledge evolution pattern of green building using citation bursts analysis in order to reveal how research related to green building has evolved over time. On the basis of aforementioned keywords, clusters, and citation bursts analysis, this paper has built a knowledge graph for green building. This paper can help readers to better understand the status quo and development trend of green building and to easier recognize the shortcomings in the development of green building, so as to provide a promising direction for future research.

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The trends of uveal melanoma research in the past two decades and future perspectives.

10.21203/rs.3.rs-157051/v1 ◽

2021 ◽

Author(s):

Khaled Ali Elubous ◽

Ali Daoud Alebous ◽

Hebah Ali Abous ◽

Rawan Ali Elubous

Keyword(s):

Uveal Melanoma ◽

Web Of Science ◽

The United States ◽

Future Research ◽

Genetic Mutations ◽

Future Perspectives ◽

Molecular Alterations ◽

The Past ◽

Clinical Biomarkers

Abstract PURPOSE Evaluation of the research trends in uveal melanoma in the past two decades.METHODS Data were extracted from the Web of Science database website. VOSviewer and Citespace software were used to analyze the retrieved data. RESULTS The leading country in terms of output and international collaboration is the United States. Research interest in genetic mutations, molecular pathways, and immunotherapy was remarkable in recent years. Most of the top ten journals are specialized in ophthalmology. In recent years the hotspots include future perspectives, BAB1 mutation, therapeutic target, and systematic reviews. The keywords with the strongest citation bursts are immunotherapy, outcome, and in situ hybridization. CONCLUSION The output of uveal melanoma research increased during the past two decades. Future research foci may include exploring different mutations role, immunotherapy, molecular alterations, and finding ideal clinical biomarkers.

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A Half Century of Research on Childhood and Adolescent Depression: Science Mapping the Literature, 1970 to 2019

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18189524 ◽

2021 ◽

Vol 18 (18) ◽

pp. 9524

Author(s):

Mi Zhou ◽

Biyu Bian ◽

Weiming Zhu ◽

Li Huang

Keyword(s):

Childhood Abuse ◽

Adolescent Depression ◽

Web Of Science ◽

Future Research ◽

Depression Symptoms ◽

Science Mapping ◽

Half Century ◽

The Past ◽

Past Half Century ◽

Past Half

In order to gain an in-depth understanding of research about childhood and adolescent depression, this article analyzes the scale, development, and geographic distribution of the literature in the field based on 8491 articles extracted from the Web of Science Core database. Using citation analysis, this article identifies influential journals, scholars, and documents in this field. The study found that in the past 15 years, the number of documents has increased significantly and geographical diversity has also increased. Most of the highly influential literature relates to depression inventories. Using keyword co-occurrence analysis, this article also identified three key research topics focusing on (a) child and adolescent depression symptoms and prevalence, (b) parental depression and child behavioral or emotional problems, and (c) childhood abuse and depression. This study uses ‘science mapping’ as a means to provide a better understanding of research trends about childhood and adolescent depression that have emerged over the past half century, and may serve as reference for future research.

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A review of facilities management performance measurement

Property Management ◽

10.1108/pm-08-2018-0051 ◽

2019 ◽

Vol 37 (4) ◽

pp. 490-511 ◽

Cited By ~ 4

Author(s):

Daniel Amos ◽

Zairul Nisham Musa ◽

Cheong Peng Au-Yong

Keyword(s):

Performance Measurement ◽

Design Methodology ◽

Systematic Approach ◽

Web Of Science ◽

Future Research ◽

Facilities Management ◽

Content Type ◽

Slow Pace ◽

The Past ◽

Key Issues

Purpose The purpose of this paper is to present a comprehensive review of facilities management (FM) performance measurement (PM) research within the past two decades to understand existing gaps in FM PM literature. Design/methodology/approach The paper employs a systematic approach to review papers in FM PM published from 1997 to 2017. The articles published in selected peer-reviewed international journals in the last 20 years were collected by conducting literature search in the Web of Science and Scopus databases. The content of the papers were scrutinized to understand the gap in literature. Findings The review depicts a slow pace of FM PM research characterized by diverse and fragmented performance measures, whereas the existing PM frameworks are at the nascent stage. Research limitations/implications The judgments of the paper are based on the 54 papers selected for the critical review and analysis that should be treated as key issues in FM PM research agenda. The review also excludes energy management. Originality/value The paper identifies the gaps in the current PM literature in FM and set propositions for future research which is of utility and relevance to FM researchers more especially on the existing conceptual frameworks. To the best of the authors’ knowledge, this paper is the first attempt to conduct a review on FM PM in the extant literature.

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A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Sustainability ◽

10.3390/su12093760 ◽

2020 ◽

Vol 12 (9) ◽

pp. 3760 ◽

Cited By ~ 1

Author(s):

Manuel Woschank ◽

Erwin Rauch ◽

Helmut Zsifkovits

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Deep Learning ◽

Scientific Literature ◽

Future Research ◽

Industrial Enterprises ◽

Smart Logistics ◽

Research Findings ◽

Ongoing Development ◽

Research Initiatives

Industry 4.0 concepts and technologies ensure the ongoing development of micro- and macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial intelligence is seen as one of the major enablers for Smart Logistics and Smart Production initiatives. This paper systematically analyzes the scientific literature on artificial intelligence, machine learning, and deep learning in the context of Smart Logistics management in industrial enterprises. Furthermore, based on the results of the systematic literature review, the authors present a conceptual framework, which provides fruitful implications based on recent research findings and insights to be used for directing and starting future research initiatives in the field of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in Smart Logistics.

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Overtourism and tourismphobia

Tourism ◽

10.37741/t.68.2.4 ◽

2020 ◽

Vol 68 (2) ◽

pp. 156-169 ◽

Cited By ~ 4

Author(s):

Medéia Veríssimo ◽

Michelle Moraes ◽

Zélia Breda ◽

Alan Guizi ◽

Carlos Costa

Keyword(s):

Core Collection ◽

Web Of Science ◽

Qualitative Approach ◽

Future Research ◽

Research Topics ◽

The Past ◽

Depth Analysis ◽

Negative Impacts ◽

Shed Light ◽

The Web

This paper aims at examining how overtourism and tourismphobia are being approached as emergent research topics in current tourism literature. It conducts an analysis of 154 documents, indexed in the Web of Science (WoS) Core Collection and Scopus databases. The study follows a quantitative and qualitative approach, with the support of VOSviewer and HistCite softwares for a descriptive content analysis. The analysis focuses on highlighting important aspects in terms of the most frequent publication sources (authors and journals); co-citation, as well as dimensions and research streams; methodologies used; results obtained; and implications for future research. The literature review unveiled that the concepts of overtourism and tourismphobia are usually related to destinations’ development, negative impacts, and tourism policies and regulation. Results show that, although tourism excesses and conflicts have been studied for long, ‘overtourism’ and ‘tourismphobia’ have become usual terms, mainly within the past three years. Even though the adoption of the terms can be considered by some as a ‘trend’, the in-depth analysis of the topics shed light on how ‘old’ concepts can evolve to adapt to contemporary tourism issues. Further studies are needed in tracking the evolution of these topics and their implications on the future of tourism.

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The Use of Artificial Intelligence in Industry 4.0

Problems of Engineering Cybernetics and Robotics ◽

10.7546/pecr.73.20.02 ◽

2020 ◽

Vol 73 ◽

Author(s):

Maksim Sharabov ◽

Georgi Tsochev

Keyword(s):

Artificial Intelligence ◽

Computer Vision ◽

Industry 4.0 ◽

New Technologies ◽

Web Of Science ◽

Predictive Analytics ◽

Use Case ◽

Industrial Robotics ◽

The Past ◽

New Generation

This article presents a brief overview of the effect of new technologies, how they are changing the manufacturing process, and how the machines are starting to get a lot smarter thanks to the artificial intelligence. The focus is over the examination of Industry 4.0 and how it revolutionized the whole manufacturing segment and what promise of a better, more efficient future it brings. This analysis focuses primarily on how artificial intelligence is integrated, what benefits it brings, and how big of an improvement it is over basic programming. Part of the research is based on 771 publications tracked over the past three to five years. Publications are within some of the well-known databases Scopus, Web of Science, and IEEE. We will examine the basic use case scenarios where AI is crucially needed and how a new generation of the factory can look and feel like a living human being. Keywords: Industry 4.0, artificial intelligence, predictive analytics, predictive maintenance, industrial robotics, computer vision.

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In the free web of science

Journal of Science Communication ◽

10.22323/2.02040902 ◽

2003 ◽

Vol 02 (04) ◽

pp. F02

Author(s):

Mauro Scanu

Keyword(s):

United States ◽

Great Britain ◽

Inflation Rate ◽

Web Of Science ◽

Scientific Literature ◽

Scientific Information ◽

The United States ◽

Circulation System ◽

The Past ◽

The Web

A ghost is wandering around the web: it is called open access, a proposal to modify the circulation system of scientific information which has landed on the sacred soil of scientific literature. The circulation system of scientific magazines has recently started faltering, not because this instrument is no longer a guarantee of quality, but rather for economic reasons. In countries such as Great Britain, as shown in the following chart, the past twenty years have seen a dramatic increase in subscription fees, exceeding by far the prices of other publishing products and the average inflation rate. The same trend applies to the United States.

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Rural tourism and development: Evolution in Scientific Literature and Trends

Journal of Hospitality & Tourism Research ◽

10.1177/1096348020926538 ◽

2020 ◽

pp. 109634802092653

Author(s):

José Luis Ruiz-Real ◽

Juan Uribe-Toril ◽

Jaime de Pablo Valenciano ◽

Juan Carlos Gázquez-Abad

Keyword(s):

Rural Areas ◽

Core Collection ◽

Web Of Science ◽

Scientific Literature ◽

State Of The Art ◽

The United States ◽

Rural Tourism ◽

The United Kingdom ◽

Prolific Authors ◽

The Web

This work represents a contribution by showing the state of the art of research on rural tourism and development, identifying trends and proposing future lines and topics of research. Rural tourism and its influence on the economic development of rural areas has been an important and dynamic area of research since 2004. For this purpose, a quantitative bibliometric analysis of the 892 documents related to this topic contained within the Web of Science Core Collection has been carried out. Results show that studies on rural tourism mainly focus on Spain, Romania, and China. However, the most prolific authors are from Portugal, China, the United Kingdom, and the United States. There is a notable lack of studies focused on countries in Africa, Asia, and Latin America, mainly due to political and religious factors. Rural tourism is also an important and emergent sector, particularly in countries like Romania and China.

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Economic valuation of ecosystem services in Africa

E3S Web of Conferences ◽

10.1051/e3sconf/202018301002 ◽

2020 ◽

Vol 183 ◽

pp. 01002

Author(s):

Aya Jamouli ◽

Khali Allali

Keyword(s):

Ecosystem Services ◽

Choice Experiment ◽

Web Of Science ◽

Economic Valuation ◽

Market Price ◽

Well Being ◽

Future Research ◽

Valuation Methods ◽

The Past ◽

The Web

Ecosystems provide vital services that improve and support livelihoods and human well-being. Consequently, scientific research on ecosystem services (ES) has increased, over the past two decades globally, as well as in Africa. This study provides an overview of existing economic ES valuation methods in Africa using the Web of Science databases. The results highlighted that South Africa recorded the high number of ES valuation publications. The most evaluated ES category was provisioning then regulating services. In terms of economic valuation methods, the market price was the most popular, followed by the contingent valuation and the choice experiment methods. Recommendations are provided for future research in this filed.

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