Bibliometric Analysis and Scientific Mapping of IoT

Özköse, Hakan

doi:10.1080/08874417.2023.2167135

Cited by 7 publications

(3 citation statements)

References 64 publications

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“…The map reveals the connection between articles and authors, as well as research trends in the LSTM network from time to time. This study also conducted a cluster analysis to identify main research themes and trends from time to time [18], [19].VOSviewer is a free computer program designed to build and visualize map bibliometrics. Different from other similar programs, VOSviewer focuses more on representation graphics from map bibliometrics.…”

Section: Methodsmentioning

confidence: 99%

Long Short-Term Memory (LSTM): Trends and Future Research Potential

Arifin¹,

Wijaya²,

Nariswari³

et al. 2023

IJETAE

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-One of the most widely used machine learning methods, Long Short-Term Memory (LSTM), is particularly useful for time series prediction. In this study, we carried out a bibliometric analysis against publications about LSTMs to identify trends and contributions of researchers in the development of machine learning technology. We collect bibliometric data from the Scopus database and use the bibliometric analysis method to analyze trends and contributions of researchers in publications about LSTM. Results of the bibliometric analysis show that LSTM is a lot used in related machine learning applications with time series data and is one the most popular technique for use in predictions. In addition, the use of LSTM is often combined with other deep learning methods, such as neural networks, to improve accuracy prediction. In addition, the results of the bibliometric analysis also show that the use of LSTM has spread to various fields, such as in handwriting recognition, processing Language experience, and recognition of a face. Implications from the results of this study are that the use of LSTM can provide solutions that are accurate and effective in solving prediction problems in various fields, especially in practical applications such as business, health, and transportation. The results of the LSTM bibliometric analysis can provide a broader view of trends and the contributions of researchers to the development of machine learning technology, as well as identify potential research areas for further development. Therefore, this research provides an important contribution to strengthening the results of previous research and showing that the use of LSTM has great potential in the development of future machine learning technology

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Section: Methodsmentioning

confidence: 99%

Long Short-Term Memory (LSTM): Trends and Future Research Potential

Arifin¹,

Wijaya²,

Nariswari³

et al. 2023

IJETAE

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show abstract

“…In this context, bibliometric analysis is a valuable tool for understanding research trends, mapping the field of knowledge, and identifying key countries, collaborations, and potential development directions [44][45][46][47]. Using the CiteSpace program 6.2.R6 Advanced to conduct such an analysis allows the visualization of bibliometric data, which is invaluable in the process of synthesizing the current state of knowledge and in identifying research gaps and new research opportunities [48][49][50][51][52][53].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Role of Hydrogen in Sustainable Energy Futures: A Comprehensive Bibliometric Analysis of Research and International Collaborations in Energy and Environmental Engineering

Kut,

Pietrucha-Urbanik,

Zeleňáková

2024

Energies

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The main results highlighted in this article underline the critical significance of hydrogen technologies in the move towards carbon neutrality. This research focuses on several key areas including the production, storage, safety, and usage of hydrogen, alongside innovative approaches for assessing hydrogen purity and production-related technologies. This study emphasizes the vital role of hydrogen storage technology for the future utilization of hydrogen as an energy carrier and the advancement of technologies that facilitate effective, safe, and cost-efficient hydrogen storage. Furthermore, bibliometric analysis has been instrumental in identifying primary research fields such as hydrogen storage, hydrogen production, efficient electrocatalysts, rotary engines utilizing hydrogen as fuel, and underground hydrogen storage. Each domain is essential for realizing a sustainable hydrogen economy, reflecting the significant research and development efforts in hydrogen technologies. Recent trends have shown an increased interest in underground hydrogen storage as a method to enhance energy security and assist in the transition towards sustainable energy systems. This research delves into the technical, economic, and environmental facets of employing geological formations for large-scale, seasonal, and long-term hydrogen storage. Ultimately, the development of hydrogen technologies is deemed crucial for meeting sustainable development goals, particularly in terms of addressing climate change and reducing greenhouse gas emissions. Hydrogen serves as an energy carrier that could substantially lessen reliance on fossil fuels while encouraging the adoption of renewable energy sources, aiding in the decarbonization of transport, industry, and energy production sectors. This, in turn, supports worldwide efforts to curb global warming and achieve carbon neutrality.

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“…Factors that have contributed to the rise of the Internet of Things, especially in business and industrial settings, include cost-effective cloud storage and better analytics programs that enable organizations to manage and extract insights from vast arrays of data (Dubravac & Ratti, 2015). The potential of the Internet of Things market is huge, where "things" interacting with each other act as active participants in the business (Hakan, 2023). Objects connected to the global Internet contribute both to improving the quality of life of the population and influence the processes taking place in the surrounding world.…”

Section: Introductionmentioning

confidence: 99%

Current Applications and Challenges of the Internet of Things

Dallaev

Pisarenko

Ţălu

et al. 2023

New Trends in Computer Sciences

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The concept of the Internet of Things is capable of making a giant leap in the economy, including research in the field of computer science, network technologies, microelectronics and sensor technology. Combined with the technological developments of nanotechnology and robotics, IoT can play a central role in the industrial revolution by creating economic relations between machines and connecting the economy of people and machines, solving a number of problems that humanity is facing. All devices controlled via the Internet are elements of the Internet of things. The IoT has allowed various possibilities for all countries to improve life quality and the technological ideas for efficiency, productivity, security, and profit. An integrated security system is a giant step towards the improved economy. The concept of IoT plays a decisive role in the further development of the infocommunication industry. This is confirmed both by the position of the International Telecommunication Union (ITU) and the European Union on this issue, and by the inclusion of the Internet of Things in the list of breakthrough technologies in the United States, China and other countries. Thus, this article will go over the current state of the IoT as well as describe which devices and industries stand to benefit from the advantages it brings. Additionally, statistical data on the actual trends and investments into IoT across the world are also provided.

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Bibliometric Analysis and Scientific Mapping of IoT

Cited by 7 publications

References 64 publications

Long Short-Term Memory (LSTM): Trends and Future Research Potential

Long Short-Term Memory (LSTM): Trends and Future Research Potential

Assessing the Role of Hydrogen in Sustainable Energy Futures: A Comprehensive Bibliometric Analysis of Research and International Collaborations in Energy and Environmental Engineering

Current Applications and Challenges of the Internet of Things

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